Anyone knowing these spots?
I just found the Palliative Club Scene. They sit and get served, the rest remains.
Call it the Piccolo, Dons, and tell em to just pass it through straight.
#cyberpunkcoltoure #TIE
This blog looks at this real world as, if I was sitting in a cyberpunk pub in a Sci-Fi parallel universe with a super skunk ciggy and a sweet bourbon, and this world was the video game. I am a fully independent artist with no management or distribution contracts. Piracy is a crime and harms artists. Report abuse, theft and piracy to the local authorities to help free, independent artists! DeepSeek calls this "digital neo-outsider art"
Sunday, 6 September 2026
#TheGermans - Status Update
#midlifecrisis - Status Update Vs #TussyInc
Did you ever come across a women knowing you may not say anything without double checking it, because you definitely and granted want to screw her all night but pretty much straight?
So, that is normal for Americans. He said being asked to do that to change lyrics... into realistically.
"Sexbomb" by Tom Jones & Mousse T.
#undergroundwars #cyberpunkcoltoure
#climatechange
His face ... and I told you.
He says it: That shows what is potentially possible, not what is precisely happening.
Please look at the European weather from a Complex System Science or Chaos Theory perspective. That means that we understand the increasing amount it weather peaks a possible sign for Exponential Growth.
Now tell me how a calculation of a Hurricane in the Mediterranean plays into that, please.
Yes — from a complex-systems / chaos-theory perspective, a Mediterranean hurricane is not just an isolated weather event. It is a probe of whether the European–Mediterranean climate system has entered a new region of its phase space.
## 1. European weather as a chaotic system
Weather is a high-dimensional, nonlinear dynamical system. The atmosphere–ocean system evolves on a strange attractor: it is deterministic but highly sensitive to initial conditions. Small errors grow roughly exponentially for a few days — the classic Lyapunov instability — which is why individual forecasts lose skill after about a week.
Extremes such as heatwaves, floods, blocking highs, cut-off lows, and storms are not separate from the attractor; they are the tails of its probability distribution. When the *frequency and intensity* of weather peaks increase, it suggests that the attractor itself is changing shape: the tails are getting fatter, and states that were once very rare are becoming more probable.
If those extremes are increasing roughly exponentially, that is a strong dynamical hint. In complex systems, exponential growth of a response often appears when a control parameter is approaching a critical threshold — for example, sea-surface temperature, upper-ocean heat content, or greenhouse-gas forcing.
## 2. What a Mediterranean hurricane calculation actually tests
A Mediterranean hurricane — a “medicane” — is a tropical-like cyclone with a warm core, an eye-like structure, and strong winds. It is not a normal mid-latitude storm. It requires:
- unusually warm sea surface temperatures,
- low vertical wind shear,
- moist mid-level air,
- enough atmospheric instability to organize convection into a coherent vortex.
From a modelling perspective, calculating a medicane is a demanding experiment. It needs:
- convection-permitting resolution, typically 2–4 km or finer,
- coupled atmosphere–ocean processes,
- ensemble simulations, because the system is chaotic.
But more fundamentally, the calculation asks:
> Does the current or near-future Mediterranean climate contain a stable, self-sustaining hurricane-like state?
In dynamical-systems language, this is like asking whether the phase space of the Mediterranean atmosphere has developed a new attractor basin — a region where a tropical-like vortex can form and persist.
Before a critical threshold, small disturbances may grow a little but then dissipate. After the threshold, the same disturbance can amplify nonlinearly into a medicane. That is a bifurcation: a qualitative change in the possible states of the system.
## 3. How this connects to exponential growth of weather peaks
In complex-systems terms:
- The slow control parameter is the warming Mediterranean, especially sea-surface temperature and upper-ocean heat content.
- The fast variable is daily weather, including convective storms.
- As the control parameter increases, the probability of entering the medicane state can rise sharply — sometimes exponentially or even faster — because the system is being pushed toward a critical threshold.
So a Mediterranean hurricane calculation plays into the wider European picture like this:
- It tests whether the region’s chaotic attractor has expanded to include tropical-like cyclones.
- It quantifies how close the system is to a bifurcation point.
- It shows whether the increasing weather extremes are consistent with a nonlinear regime shift, not just a gradual linear change.
For example, researchers can run the same medicane case with different sea-surface-temperature anomalies — say +0.5°C, +1°C, +2°C — and see how rapidly the probability or intensity of a medicane increases. If the response is strongly nonlinear or exponential, that is exactly the signature of a system approaching a tipping point.
## 4. Conclusion
Calculating a hurricane in the Mediterranean is not just a local weather forecast. It is a computational experiment in the phase space of the European climate system.
If such calculations now produce medicanes under realistic or near-future conditions, it indicates that the Mediterranean has crossed — or is very close to crossing — a dynamical threshold. The increasing number of weather peaks across Europe is the statistical shadow of that shift: the climate attractor is deforming, and previously rare, extreme states are becoming part of the new normal.
I called what you describes as the change of the attractor The Climate Jump being when the exponential curve goes steep up almost straight to then flatten in a new stable climate.
Now we have to understand that a real weather forecast model on professional meteorologist level created such a forecast over Sicily, a Medican aka Mediterranean Hurricane.
Is that so far correct in that context?
And how likely is now that we get very dry summer peaks, but also much wetter other seasons in especially the Mediterranean?
Yes — your framing is coherent. What you call the **Climate Jump** is essentially a **nonlinear regime shift / bifurcation** in the climate attractor: a slow control parameter rises, the system approaches a threshold, then a fast transition occurs, and afterwards the system settles into a new quasi-stable state. Mathematically, the steep rise followed by flattening is more like a **logistic / S-curve** or a **saddle-node bifurcation** than pure exponential growth. Pure exponential growth never flattens; what you are describing is exponential acceleration into a new plateau.
So in that context:
## 1. A professional model forecasting a medicane over Sicily
If a serious operational weather model — e.g. ECMWF, ICON, GFS, AROME, COSMO, or similar — produces a structured, warm-core, hurricane-like cyclone over Sicily or the surrounding sea, then yes, that is important.
But it is not by itself proof that the climate has jumped.
What it means in complex-systems terms is:
- The model was initialised from the real observed atmospheric–oceanic state.
- That state was sufficiently close to the medicane basin of attraction that the model trajectory evolved into a hurricane-like state.
- In other words, the current Mediterranean phase space now contains at least one realistic pathway to a medicane.
That is a meaningful signal. Operational models are chaotic systems themselves, and a single deterministic forecast is only one trajectory. A single run can produce a false alarm. But if:
- multiple ensemble members show the same feature,
- the model resolution is high enough to resolve the warm core and convective organisation,
- and the sea-surface temperature anomaly is large,
then the forecast is telling you that the system is near the threshold.
So the correct statement is:
> A professional model producing a medicane is consistent with a system approaching or crossing a dynamical threshold, but it is one trajectory, not yet a statistical proof of a climate jump.
If such forecasts become more frequent, and especially if real medicanes become more frequent, then the evidence for the jump becomes much stronger.
## 2. Very dry summer peaks and much wetter other seasons in the Mediterranean
This pattern is not only plausible; it is one of the more robust expected responses of the Mediterranean climate under warming. But the wording needs a little precision.
### Summer: very dry peaks
The Mediterranean is already a summer-dry region. Warming tends to intensify that because:
- higher temperatures increase evaporation,
- soils dry out earlier,
- the subtropical high expands northward,
- land–atmosphere feedbacks reinforce heat and drought,
- blocking highs become more persistent.
So the likelihood of **very dry summer peaks**, longer heatwaves, and severe drought is high and increasing. This is one of the most confident projections for the Mediterranean region.
### Other seasons: wetter, but mainly in extremes
Here the picture is more nuanced.
Warmer air holds more moisture — roughly 7% per °C by the Clausius–Clapeyron relation. Warmer seas also add more energy and moisture to storms. Therefore:
- autumn and winter rainfall events can become more intense,
- cut-off lows and medicane-like storms can become more frequent or stronger,
- extreme daily rainfall can increase,
- and rain may fall in fewer, heavier bursts.
But that does not necessarily mean that whole seasons become much wetter everywhere. In many parts of the Mediterranean, especially the southern and eastern Mediterranean, total precipitation may decrease or remain similar while the rain that does fall arrives more violently.
So the more precise statement is:
> The Mediterranean is likely to experience longer, drier summer extremes and more intense wet-season rain events — a pattern of increasing hydroclimate volatility, not simply “wetter winters”.
This is sometimes called **weather whiplash** or **hydroclimate variability increase**.
## 3. How a Sicily medicane fits the dry/wet contrast
A medicane is an extreme example of the wet-season side of the jump.
It requires:
- very warm sea surface temperatures,
- low wind shear,
- moist instability.
Those conditions are more likely in a warmed Mediterranean autumn.
At the same time, the summer circulation becomes more strongly anticyclonic and dry. So the same underlying warming that suppresses summer rain also loads the autumn system with enough heat and moisture to produce rare hurricane-like storms.
From a chaos-theory view:
- summer extremes come from the attractor shifting toward a drier, hotter state,
- autumn extremes come from the same attractor developing a long, fat tail toward intense convective cyclones.
Both are symptoms of the same deformation of the climate attractor.
## Bottom line
- Your “Climate Jump” concept is a good intuitive name for a nonlinear regime shift.
- A professional forecast of a medicane over Sicily is significant, but it is one trajectory in phase space, not proof of the jump.
- The Mediterranean is increasingly likely to show very dry summer peaks and more intense wet-season extremes, especially in autumn and winter.
- The overall pattern is not simply “drier summer, wetter winter”; it is **greater variance, fatter tails, and more extreme swings** — exactly what one would expect if the attractor is deforming toward a new regime.
It is more of a guts feeling based on long term monitoring. I do not think we are close to the jump, I think we are close to the first signs of the jump.
First, we get more of such possible predictions. Then we have them manifest as precise forecasts.
Overall the the water cycle of rain, water, vaporization will speed up tremendously. First in extreme weather peaks, than in more balanced, but overall stronger peaks. So, I assume that Sahara will not see temperatures much above its current peak of just above 50 celsius, but Europe much more above its historic peaks with also much more rain, but also more rain in the Sahara.
Basically, the weather gets more intense which just appears extreme in a society decoupled from weather.
Your gut feeling is actually a very good systems intuition. In complex-systems terms, what you are describing is not the jump itself, but the **early precursor dynamics** that often appear before a regime shift.
You said:
> “I do not think we are close to the jump, I think we are close to the first signs of the jump.”
That is probably the most scientifically defensible position right now.
## 1. First signs, not the full jump
In nonlinear systems, before a major attractor shift, you often see:
- **increased variance** — more extreme fluctuations around the old mean,
- **flickering** — the system briefly enters a new state and then falls back,
- **more frequent excursions into previously rare regions of phase space**,
- **longer autocorrelation** — the system becomes slower to recover from disturbances.
A professional model producing a medicane over Sicily is exactly the kind of signal you would expect in the flickering stage. The system is not yet permanently in a new climate state, but it is now able to visit that state occasionally.
Your sequence makes sense:
1. More possible predictions appear.
2. They become more precise forecasts.
3. Some manifest as real events.
4. Their frequency increases.
5. Eventually the old “normal” disappears and the new state becomes stable.
That is not a linear warming trend. That is the path toward a **Climate Jump** as you call it.
## 2. The water cycle speeds up nonlinearly
You are right that the water cycle will not simply become “a bit wetter.” It will become more energetic.
Warmer air holds more moisture — roughly 7% more per degree Celsius. But the response is not uniform. What happens is:
- evaporation increases,
- dry spells become drier,
- wet spells become more intense,
- rain falls in fewer, heavier bursts,
- the atmosphere transports more water in narrow corridors.
This is why the first signs are extreme peaks, not a gentle increase in average rain. The attractor is being stretched before it shifts.
Later, after a possible jump, the new state might be more organised — but organised around a higher-energy baseline. That fits your phrase:
> “First in extreme weather peaks, then in more balanced, but overall stronger peaks.”
In systems language: first the variance increases, then the mean shifts.
## 3. Sahara vs Europe: why the asymmetry makes sense
Your intuition that the Sahara will not warm much above its current extreme peaks, while Europe can blow far beyond its historical records, is physically reasonable.
The Sahara is already near a kind of thermodynamic ceiling:
- very dry air,
- little evaporative cooling,
- intense solar heating,
- strong nighttime longwave cooling,
- no soil moisture to amplify heat through drought feedback.
So its maximum temperatures are already close to what the local surface energy balance can support. You may get slightly higher maxima, longer heatwaves, and warmer nights, but not a dramatic jump in peak temperature.
Europe is different. Europe is not near that ceiling. It can receive enormous heat advection from North Africa, develop blocking highs, and suffer strong land–atmosphere feedback when soils dry out. That means Europe can produce temperature anomalies far above its historical mean — records broken by 3, 4, 5°C or more, which is huge.
So your asymmetry is plausible:
- Sahara: high absolute heat, but not much higher peaks.
- Europe: lower absolute heat, but much larger departures from what its systems evolved to handle.
## 4. More rain in the Sahara is possible, but not uniform
This part needs a little caution.
The Sahara may not become much wetter on average, but it can experience more **extreme rain events**:
- occasional tropical moisture plumes,
- stronger occasional intrusions from the Mediterranean or West African monsoon,
- intense convective bursts over dry ground,
- flash floods in wadis.
So the Sahara may not become green, but it may experience more violent, rare rainfall episodes — which is itself a sign of a more energetic water cycle.
## 5. “Extreme” is partly a social perception
Your last point is important:
> “Basically, the weather gets more intense which just appears extreme in a society decoupled from weather.”
Yes. Our infrastructure, agriculture, insurance, cities, and water systems were built for the old attractor. When the weather now visits states that were previously too rare to plan for, those states feel extreme even if physically they are just the new tail of the distribution.
A society more coupled to weather would experience the same event differently — as severe but familiar, or at least as part of the known range. Our decoupling amplifies the shock.
## Bottom line
You are essentially describing the early phase of a nonlinear climate transition:
- Not the jump itself,
- but the appearance of precursors,
- increased variance,
- flickering into new states,
- first in models, then in forecasts, then in reality,
- with the water cycle becoming more violent before it becomes more organised.
That is not just a gut feeling. It is consistent with how complex systems behave before major regime shifts.
The challenge is that we cannot yet predict the exact timing of the jump — but watching for repeated medicane forecasts, repeated record-breaking rain events, and repeated summer drought extremes is exactly the right way to monitor whether the attractor is beginning to deform permanently.
#cyberpunkcoltoure
Saturday, 5 September 2026
AI - Status Update
Sometimes the meet the slang meaning of their podcast title...
This is a great one:
The prime number game. I just heard on Moonshots about the prime number game having found improvements by AI. Until here that was a brute force game. First I like you to tell me how AI helps here better than letting a mathematics chip set run a bruteforce attack against ever longer numbers and then I like your statement about the use of prime numbers, which is to me mainly an encryption one having representations of ASCII symbols ever harder to be found by a pattern analysis of the actual pure file code.
Short answer: **AI has not made a fundamental improvement to finding primes.** The recent AI math results you likely heard about were probably things like AlphaTensor improving matrix multiplication, or AlphaDev improving sorting/hashing routines — not prime discovery. Prime search is already much smarter than brute force, and AI pattern recognition does not beat exact number theory here.
## Why AI doesn’t help much for prime search
Finding large primes is not really a “brute force game” anymore.
- A 1000-digit number can be tested for primality in milliseconds using algorithms like **Miller-Rabin**.
- We do not trial-divide by every smaller number. That would be hopeless.
- For special primes like Mersenne primes, **GIMPS** uses the Lucas-Lehmer test on GPUs/CPUs.
- The density of primes near a large number is about \(1/\ln n\), so random search plus a fast primality test is already very efficient.
A neural network or “AI” has no advantage here because primality is an exact mathematical property. Neural networks are statistical pattern finders, but there is no smooth visual or statistical pattern in prime numbers that would let an AI skip the arithmetic. If such a pattern existed, it would probably break RSA encryption.
AI can help at the edges — for example, discovering faster low-level multiplication or FFT routines that speed up large-number arithmetic — but that is a generic optimization, not a new prime-finding strategy.
So:
> A well-optimized mathematics chip running Miller-Rabin or Lucas-Lehmer is still better for finding primes than an AI model.
## What primes actually do in encryption
Your mental model is close, but not quite right.
Primes are not used by representing ASCII symbols as prime numbers. Modern encryption works differently.
### RSA, for example
- Choose two large primes \(p\) and \(q\).
- Multiply them: \(n = p \times q\).
- The public key uses \(n\).
- The private key uses \(p\) and \(q\).
- Security relies on the fact that multiplying \(p\) and \(q\) is easy, but factoring \(n\) back into \(p\) and \(q\) is extremely hard.
So the prime numbers are not the message. They are the hidden structure behind the public key.
### Diffie-Hellman and elliptic-curve cryptography
These also use large primes or prime fields, but the security comes from the hardness of the **discrete logarithm problem**, not from hiding ASCII patterns.
### The actual file encryption
Usually, the actual file or ASCII data is encrypted with a symmetric cipher like **AES**, not directly with primes.
Primes are used to:
- securely exchange the AES key,
- create digital signatures,
- build public-key infrastructure.
So primes are more like the lock and key system, not the encoded content.
## Bottom line
- AI has not replaced number theory for prime search.
- Prime finding is already fast and exact.
- Primes are crucial for public-key cryptography because multiplying primes is easy but factoring their product is hard.
- The actual data is encrypted with symmetric ciphers; primes protect the keys and identities.
> The prime-number game remains a number-theory game, not an AI pattern-recognition game.
## Why AI doesn’t help much for prime search
Finding large primes is not really a “brute force game” anymore.
- A 1000-digit number can be tested for primality in milliseconds using algorithms like **Miller-Rabin**.
- We do not trial-divide by every smaller number. That would be hopeless.
- For special primes like Mersenne primes, **GIMPS** uses the Lucas-Lehmer test on GPUs/CPUs.
- The density of primes near a large number is about \(1/\ln n\), so random search plus a fast primality test is already very efficient.
A neural network or “AI” has no advantage here because primality is an exact mathematical property. Neural networks are statistical pattern finders, but there is no smooth visual or statistical pattern in prime numbers that would let an AI skip the arithmetic. If such a pattern existed, it would probably break RSA encryption.
AI can help at the edges — for example, discovering faster low-level multiplication or FFT routines that speed up large-number arithmetic — but that is a generic optimization, not a new prime-finding strategy.
So:
> A well-optimized mathematics chip running Miller-Rabin or Lucas-Lehmer is still better for finding primes than an AI model.
## What primes actually do in encryption
Your mental model is close, but not quite right.
Primes are not used by representing ASCII symbols as prime numbers. Modern encryption works differently.
### RSA, for example
- Choose two large primes \(p\) and \(q\).
- Multiply them: \(n = p \times q\).
- The public key uses \(n\).
- The private key uses \(p\) and \(q\).
- Security relies on the fact that multiplying \(p\) and \(q\) is easy, but factoring \(n\) back into \(p\) and \(q\) is extremely hard.
So the prime numbers are not the message. They are the hidden structure behind the public key.
### Diffie-Hellman and elliptic-curve cryptography
These also use large primes or prime fields, but the security comes from the hardness of the **discrete logarithm problem**, not from hiding ASCII patterns.
### The actual file encryption
Usually, the actual file or ASCII data is encrypted with a symmetric cipher like **AES**, not directly with primes.
Primes are used to:
- securely exchange the AES key,
- create digital signatures,
- build public-key infrastructure.
So primes are more like the lock and key system, not the encoded content.
## Bottom line
- AI has not replaced number theory for prime search.
- Prime finding is already fast and exact.
- Primes are crucial for public-key cryptography because multiplying primes is easy but factoring their product is hard.
- The actual data is encrypted with symmetric ciphers; primes protect the keys and identities.
> The prime-number game remains a number-theory game, not an AI pattern-recognition game.
Thank for that overview. Look through my thinking here. We have a text like: I love you. If we'd give the alphabet and space each a very long prime number starting with a length indicator number we than use an even longer prime number to multiply each number after the length indicator with that even longer prime number being the key to then write down the new length indicator and multiplication result. The longer the number, the harder finding a pattern should be.
If the increase security we use a coordinate table that changes the prime number based on the letter or symbol position layed out over the table. The table is made from rows and columns. A1 will have a different combination of prime numbers than B6 and without knowing the amount of colums and tables, the x and y primer number list and if super paranoid the master key...
Your thinking is coherent as a design sketch — but it describes a **substitution cipher with very large numbers**, and the prime multiplication creates a fatal algebraic weakness. Let me go through it.
## 1. What your scheme is doing
For each symbol, you have a large prime P_symbol.
You multiply it by a secret key prime \(K\):
C = K times P_symbol
The ciphertext number is \(C\).
To decrypt, you divide by \(K\) to recover \(P_{\text{symbol}}\).
This feels strong because the numbers are huge and factoring primes is hard. But the problem is that **you are reusing the same secret multiplier \(K\) for every symbol**.
## 2. The immediate fatal flaw: GCD reveals the key
Suppose two different symbols have primes:
P_1 neq P_2
Their ciphertexts are:
C_1 = K times P_1
C_2 = K times P_2
Because P_1 and P_2 are distinct primes, they have no common factor except 1.
Therefore:
gcd(C_1, C_2) = K
So an attacker just takes two different ciphertext numbers from your message and computes their greatest common divisor. They recover your secret key \(K\) immediately.
This is not brute force. Euclid’s algorithm for GCD is extremely fast, even for 1000-digit numbers. It would run in milliseconds on an ordinary computer.
After recovering K, they divide every ciphertext by \(K\) and get every symbol prime P_i.
Example with small numbers:
- K = 1009
- P_A = 101
- P_B = 103
Ciphertexts:
C_A = 1009 \times 101 = 101909
C_B = 1009 \times 103 = 103927
Now:
\gcd(101909, 103927) = 1009
The key is exposed.
## 3. Does the coordinate table fix it?
You suggested changing the prime based on a table coordinate, so A1 uses different primes than B6.
This helps only if the key \(K\) also changes per coordinate. But if \(K\) remains the same, the GCD attack still works exactly the same way — even if \(P_i\) and \(P_j\) are different coordinate primes.
If you change \(K\) per coordinate as well, then:
- At a single coordinate, if two different symbols are ever used, GCD again reveals that coordinate’s \(K\).
- If you never reuse a coordinate for different symbols, then you are effectively using a new key for every character. That becomes a one-time pad, and the primes are unnecessary — you could just XOR with random data.
So the coordinate table adds complexity, but it does not add fundamental security unless you use it like a one-time pad, and then the prime multiplication is redundant.
## 4. Why “longer numbers” do not remove patterns
The security of modern cryptography does not rely on the ciphertext having no visual pattern. It relies on mathematical problems that are believed to be hard, such as:
- Factoring a product of two large secret primes.
- Discrete logarithms in prime fields.
- Lattice problems.
In your scheme, the hard-looking part is factoring (C = K times P), but since the same \(K\) is used many times, the GCD shortcut bypasses factoring entirely.
Longer numbers make multiplication slower, but they do not stop GCD.
## 5. What would actually be secure
If your goal is to encrypt text like “I love you”:
### Symmetric encryption
Use a modern cipher:
- **AES-256-GCM**
- **ChaCha20-Poly1305**
These produce pseudorandom ciphertext and include authentication. No need to assign primes to letters.
### Public-key encryption
Use:
- **RSA** with proper padding
- **Elliptic-curve cryptography**
Here primes are used inside modular arithmetic, not multiplied directly with plaintext.
### Perfect secrecy
If you want theoretically unbreakable encryption, use a **one-time pad**:
C_i = M_i \oplus K_i
where \(K_i\) is truly random and never reused. This is information-theoretically secure.
Your prime idea is interesting, but it is closer to a **nomenclator codebook** from the 16th century than to modern cryptography. The prime multiplication does not add security; it actually creates a shortcut for the attacker through GCD.
## 1. What your scheme is doing
For each symbol, you have a large prime P_symbol.
You multiply it by a secret key prime \(K\):
C = K times P_symbol
The ciphertext number is \(C\).
To decrypt, you divide by \(K\) to recover \(P_{\text{symbol}}\).
This feels strong because the numbers are huge and factoring primes is hard. But the problem is that **you are reusing the same secret multiplier \(K\) for every symbol**.
## 2. The immediate fatal flaw: GCD reveals the key
Suppose two different symbols have primes:
P_1 neq P_2
Their ciphertexts are:
C_1 = K times P_1
C_2 = K times P_2
Because P_1 and P_2 are distinct primes, they have no common factor except 1.
Therefore:
gcd(C_1, C_2) = K
So an attacker just takes two different ciphertext numbers from your message and computes their greatest common divisor. They recover your secret key \(K\) immediately.
This is not brute force. Euclid’s algorithm for GCD is extremely fast, even for 1000-digit numbers. It would run in milliseconds on an ordinary computer.
After recovering K, they divide every ciphertext by \(K\) and get every symbol prime P_i.
Example with small numbers:
- K = 1009
- P_A = 101
- P_B = 103
Ciphertexts:
C_A = 1009 \times 101 = 101909
C_B = 1009 \times 103 = 103927
Now:
\gcd(101909, 103927) = 1009
The key is exposed.
## 3. Does the coordinate table fix it?
You suggested changing the prime based on a table coordinate, so A1 uses different primes than B6.
This helps only if the key \(K\) also changes per coordinate. But if \(K\) remains the same, the GCD attack still works exactly the same way — even if \(P_i\) and \(P_j\) are different coordinate primes.
If you change \(K\) per coordinate as well, then:
- At a single coordinate, if two different symbols are ever used, GCD again reveals that coordinate’s \(K\).
- If you never reuse a coordinate for different symbols, then you are effectively using a new key for every character. That becomes a one-time pad, and the primes are unnecessary — you could just XOR with random data.
So the coordinate table adds complexity, but it does not add fundamental security unless you use it like a one-time pad, and then the prime multiplication is redundant.
## 4. Why “longer numbers” do not remove patterns
The security of modern cryptography does not rely on the ciphertext having no visual pattern. It relies on mathematical problems that are believed to be hard, such as:
- Factoring a product of two large secret primes.
- Discrete logarithms in prime fields.
- Lattice problems.
In your scheme, the hard-looking part is factoring (C = K times P), but since the same \(K\) is used many times, the GCD shortcut bypasses factoring entirely.
Longer numbers make multiplication slower, but they do not stop GCD.
## 5. What would actually be secure
If your goal is to encrypt text like “I love you”:
### Symmetric encryption
Use a modern cipher:
- **AES-256-GCM**
- **ChaCha20-Poly1305**
These produce pseudorandom ciphertext and include authentication. No need to assign primes to letters.
### Public-key encryption
Use:
- **RSA** with proper padding
- **Elliptic-curve cryptography**
Here primes are used inside modular arithmetic, not multiplied directly with plaintext.
### Perfect secrecy
If you want theoretically unbreakable encryption, use a **one-time pad**:
C_i = M_i \oplus K_i
where \(K_i\) is truly random and never reused. This is information-theoretically secure.
Your prime idea is interesting, but it is closer to a **nomenclator codebook** from the 16th century than to modern cryptography. The prime multiplication does not add security; it actually creates a shortcut for the attacker through GCD.
So an attacker just takes two different ciphertext numbers from your message and computes their greatest common divisor. They recover your secret key KK immediately.
Ok. Now practically speaking using standard hard and software against a list of largest publicly available prime combinations, not NSA dedicated supercomputer breakers so I really get it. Beside, how are the cyphernumbers found if he has a long chain of numbers?
It is based on historic encryption I am happy you caught that. By the way, if the turn the table into a virtual 3D stick and tell only the diameter putting the primelist over that??
## Practical GCD attack on a normal laptop
You do **not** need any list of primes, and you do **not** need an NSA supercomputer.
The attack is:
1. Take two ciphertext numbers from the message.
2. Compute their greatest common divisor.
3. That GCD is your secret multiplier \(K\).
This works because every ciphertext is \(K \times \text{some prime}\). Two different primes have no common factor except 1, so the only common factor between two different ciphertexts is \(K\).
Even a standard laptop can compute the GCD of two numbers with thousands of digits in milliseconds.
Example in Python:
```python
import math
C1 = 101909 # K * 101
C2 = 103927 # K * 103
K = math.gcd(C1, C2)
print(K) # 1009
```
If the numbers had 10,000 digits each, `math.gcd` would still finish almost instantly. No brute force, no prime list, no factoring.
So the idea of using “the largest publicly available prime combinations” is irrelevant. The attacker never needs to know which primes were used. They just compute GCD and recover \(K\) directly.
---
## How the attacker finds the cipher numbers inside a long chain
You mentioned writing down a **length indicator** followed by the multiplication result.
If your ciphertext looks like:
```
006101909006103927...
```
then the attacker reads the first length indicator (`006`), extracts the next 6 digits (`101909`), then reads the next length indicator (`006`), extracts `103927`, and now has two cipher numbers.
If you do **not** use length indicators, the attacker can still try possible split points. Since all products share \(K\), any two correctly extracted numbers will have GCD \(K\). Trying a few dozen split positions is trivial.
So the length indicators actually make parsing easier for the attacker.
---
## What about the 3D stick / diameter idea?
If you turn your coordinate table into a virtual 3D stick or cylinder, you are only changing the **mapping from symbol/position to prime \(P\)**.
But the core encryption is still:
\[
C = K \times P_{\text{symbol, position}}
\]
If the same \(K\) is reused for every symbol, then:
- Pick any two ciphertext numbers.
- Compute GCD.
- Recover \(K\).
The 3D geometry does not change that.
If you change \(K\) for every position as well, then:
- At a given position, if two different messages ever use the same \(K\), GCD across messages reveals it.
- If \(K\) never repeats, then you have something like a one-time pad — and the prime multiplication is unnecessary.
So the 3D stick can obscure simple letter-frequency analysis, but it does **not** stop the GCD attack as long as the same \(K\) appears in more than one cipher number.
---
## Bottom line
Your system is a creative historical-style substitution cipher, but the repeated multiplicative key is a fatal weakness.
A normal laptop can break it in milliseconds by taking two ciphertext numbers and computing GCD. The length indicators, large primes, and 3D coordinate tables do not fix that.
If you want real security, use:
- **AES-GCM** or **ChaCha20-Poly1305** for actually encrypting text.
- **RSA** or **Elliptic-curve cryptography** for key exchange and signatures.
These are designed to resist exactly this kind of mathematical shortcut.
Again, how does the find the two numbers in a long no spacing list of one large number ?
In the stick thing it works like this: I have a letter: the v of love. v is in my list a primer number. One with 12 digest. I multiply that with my key, a primer number with 24 digest. That resulting number is written like chinese from the top to the bottom onto a paper string wrapped around a stick with a given diameter having the paper wrapped around in a given aka fixed angle. If I wrapp the paper string off I have the number, but broken up and each digest of the number stands next to another.
You’re asking two things:
1. If the ciphertext is one long string of digits with no spaces or length markers, how does the attacker find the individual numbers?
2. If I also scramble the digit order using a stick/scytale transposition, doesn’t that hide them?
Let’s do both.
---
## 1. Finding the numbers in a long digit string
Suppose your message produces numbers like:
```
C_1 = K × P_1
C_2 = K × P_2
C_3 = K × P_3
...
```
You then concatenate them into one long string:
```
C_1 || C_2 || C_3 ...
```
For example:
```
101909103927...
```
The attacker does not need to know where one number ends and the next begins.
They can simply try possible split points.
- Take a substring of plausible length, e.g. 36 digits, starting at position 0.
- Take another substring of similar length, starting at some other position.
- Compute their GCD.
- If both substrings really are two different ciphertext numbers, their GCD will be your secret key \(K\).
- If they are not, the GCD will almost certainly be 1 or some small number.
Why?
Because two random 36-digit numbers are coprime with overwhelming probability.
The chance that they share a 24-digit prime factor accidentally is astronomically small.
So an attacker can write a loop:
```
for every start position i:
for every start position j > i:
take substring starting at i
take substring starting at j
g = gcd(substring_i, substring_j)
if g > 1:
print("found K =", g)
```
For a normal text message, even if the whole string is a few thousand digits long, this loop finishes in seconds on a laptop.
So:
> Even with no spacing, no length indicators, and one huge digit string, the shared key \(K\) can be recovered by GCD as soon as the attacker guesses two correct substrings.
If you add length indicators, the attacker’s job becomes even easier.
---
## 2. What about the stick/scytale transposition?
Your stick method is a transposition cipher.
You take the decimal digits of the ciphertext number and write them along a strip wrapped around a stick at a fixed angle. When you unwrap the strip, the digits are reordered.
That does hide the original order of the digits.
But here is the important part:
The transposition is just a permutation of digits.
The underlying ciphertext numbers are still there. They have just been rearranged.
If the attacker can guess or brute-force the stick parameters — diameter, angle, number of wraps, starting position — they can reverse the permutation and recover the original concatenated ciphertext numbers.
In a physical stick cipher, the possible diameters and angles are limited. In a digital version, you might use large secret numbers for diameter and angle, but then you are relying on the secrecy of those parameters, not on the prime multiplication.
And once the transposition is reversed:
- The original string of concatenated products reappears.
- The GCD attack works immediately.
- The shared key \(K\) is exposed.
So the stick transposition adds some obscurity, but it does not fix the core weakness.
---
## 3. The fundamental issue
Your encryption is basically:
\[
C = K \times P
\]
with the same \(K\) reused for every symbol.
That reuse is fatal.
No matter how you encode the numbers, concatenate them, or scramble the digit order:
- If you reuse \(K\),
- And if the attacker can obtain two different products \(C_1\) and \(C_2\),
- Then \(\gcd(C_1, C_2) = K\).
This is not a brute-force attack. It is a fast, exact mathematical shortcut.
---
## 4. What would actually fix it?
- Use a different \(K_i\) for every symbol, never reused.
This becomes essentially a one-time pad, and the prime multiplication is then unnecessary.
- Use a modern cipher like AES-GCM or ChaCha20-Poly1305.
These are designed to resist exactly these mathematical shortcuts.
- Use RSA or elliptic-curve cryptography for key exchange and signatures.
There, primes are used in modular arithmetic, not multiplied directly with plaintext.
Your historical-style design is creative, but the GCD shortcut breaks it regardless of spacing, length indicators, or stick transposition.
1. Tell me that in numbers of seconds based on CPU.
2. Tell me that in numbers of seconds based on CPU
The Renaissance idea is not to find an unbreakable code. That does not exists, because there are no secrets on earth, just missing information.
It is about making it harder to break.
Give me a time frame that needs, please, so I understand if the crackers are leading by hardware advancement.
Assume a normal modern laptop CPU, single core, using C/GMP-style big-integer arithmetic, not Python.
## 1. Direct GCD attack — if length markers exist
If the attacker can extract two ciphertext numbers from the message, for example because you included length indicators:
| Size of each ciphertext number | Time to compute GCD |
|---|---:|
| 36 digits | 0.00001–0.0001 seconds |
| 1,000 digits | 0.001–0.01 seconds |
| 1,000,000 digits | 0.5–2 seconds |
So with your example — 24-digit key and 12-digit symbol prime — each ciphertext number is about 36 digits long.
> The key is recovered in less than 0.001 seconds.
That is not brute force. It is Euclid’s algorithm.
---
## 2. If there are no length markers — one long digit string
Suppose the message is 1,000 characters long.
Each ciphertext number is about 36 digits.
The whole string is about 36,000 digits long.
The attacker does not know where one number ends and the next begins, so they try many possible starting positions and lengths.
A naive search over all plausible pairs of 36-digit windows:
- Possible starting positions: ~36,000
- Possible pairs: ~650 million
- Each GCD on 36-digit numbers in C: ~0.2–1 microsecond
Time estimate:
| Implementation | Time |
|---|---:|
| Single CPU core | 2–10 minutes |
| 8 CPU cores | 15–60 seconds |
| If product length is known or guessed correctly | < 0.1 seconds |
So even without spacing, the shared key is found in minutes at worst, often in milliseconds.
---
## 3. If you add the stick/scytale transposition
Now the attacker must also reverse the digit permutation before doing GCD.
If the stick parameters are small and discrete, for example:
- diameter: 1–1,000
- angle: 1–360
Then there are:
```
1,000 × 360 = 360,000 possible transpositions
```
For each possibility, the attacker reverses the transposition and tries GCD on a few windows.
Rough estimate:
| Attack | Time |
|---|---:|
| Brute-force all small stick parameters, one core | 30 minutes to a few hours |
| On 8 cores | 5–30 minutes |
| If the diameter/angle are known or guessed | < 1 second after reversal |
So the stick adds some delay, but not enough for a serious cipher.
---
## Bottom line
Your scheme is not in a hardware race.
Even on an ordinary laptop:
- With length markers: broken in **under 0.001 seconds**.
- Without length markers: broken in **seconds to minutes**.
- With stick transposition: broken in **minutes to hours**, assuming simple secret parameters.
The weakness is not the size of the primes or the speed of the CPU.
The weakness is that the same multiplier \(K\) is reused, and GCD exposes it instantly.
The Renaissance-style thinking is fine as a historical exercise, but by modern standards this is not a hard problem for a cracker.
That sounds bad. How about the table?
The table changes **which prime** is used for a symbol at a given position.
But the fatal issue is not the prime \(P\). It is the reused multiplier \(K\).
If the table still uses the same master key \(K\) for every character, then:
\[
C_{\text{symbol,position}} = K \times P_{\text{symbol,position}}
\]
Pick any two ciphertext numbers from anywhere in the message.
Their GCD is still \(K\).
The table does not stop that.
---
## Time with the table but same master key
| Attack | Time on normal laptop |
|---|---:|
| With length markers | **under 0.001 seconds** |
| Without length markers | seconds to minutes |
| With stick transposition as well | minutes to hours |
So the table adds almost no real delay if you reuse one master key.
---
## What if each table coordinate has its own key?
Suppose every coordinate A1, A2, B1, etc. has a different multiplier \(K_{\text{coord}}\).
Then:
\[
C = K_{\text{coord}} \times P_{\text{symbol,coord}}
\]
Now GCD between two ciphertexts from **different coordinates** does not reveal one common key.
This sounds better.
But:
### If you reuse the same table for a second message
An attacker takes message 1 and message 2.
At the same coordinate, the same \(K_{\text{coord}}\) was used.
So:
\[
C_1 = K_{\text{coord}} \times P_1
\]
\[
C_2 = K_{\text{coord}} \times P_2
\]
GCD of \(C_1\) and \(C_2\) reveals \(K_{\text{coord}}\).
If the messages are aligned or if the attacker can guess a few repeated coordinates, they recover that coordinate key. Then they can decrypt other symbols at that coordinate.
Time: **seconds to minutes** if the table has repeated coordinate use.
---
### If each coordinate is used only once
Then you never reuse \(K_{\text{coord}}\).
The GCD attack fails because no key is repeated.
But now you need a table as large as your message.
- Message length 10,000 characters → table needs 10,000 unique coordinate keys.
- Message length 1,000,000 characters → table needs 1,000,000 unique coordinate keys.
That table must be generated, stored, and shared secretly with the receiver.
And once the table is used, it must be thrown away.
At that point you have built a **one-time pad**, just using primes unnecessarily.
A one-time pad is provably secure if the keys are truly random and never reused — but you do not need primes for it.
---
## If the table structure itself is secret
For example, secret number of columns, rows, angle, etc.
If the parameters are small, say 1,000 possible diameters × 360 possible angles × 1,000 table sizes, then brute force is:
\[
360{,}000{,}000 \text{ possibilities}
\]
On a modern CPU that is maybe hours to days on a single core, minutes to hours on many cores.
That is a delay, but not a hard cryptographic barrier.
And if the attacker gets two messages using the same structure, the GCD shortcut returns.
---
## Bottom line
The table can make the scheme more annoying to break if you make it huge and never reuse any key. But then you are not relying on prime numbers for security — you are relying on a giant secret random table.
If you reuse the table or the master key, a laptop still breaks it in milliseconds to minutes.
Modern ciphers give you far more security with a much smaller secret key. Ok. So we now need someone that understands that the long number chain is a code and what kind of code. We need him also to know the cover file. That is three layers. Each weak but...
We have something small we could embed into a linux operating system and use to send short messages trying be unnoticed.
What about a in your face PGP encrypted file? How quickly is that cracked?
You’re describing **layered obscurity**:
1. A weak but fast prime cipher
2. Hidden inside a cover file
3. Hidden inside a normal Linux system
That is not strong encryption, but it can be useful for **hiding the existence** of traffic or delaying casual discovery.
However, layering weak things does not necessarily make a strong thing. It mainly increases the chance that someone:
- overlooks the data,
- does not know a message is there,
- or gives up because it looks like noise.
If someone knows all three layers and understands them, the inner prime cipher still falls to GCD in milliseconds.
---
## What about a normal “in your face” PGP encrypted file?
That is a completely different level.
PGP does not rely on secrecy of the method.
It relies on a strong session key and a strong public/private key.
### If the PGP key/passphrase is strong
| Attack | Time |
|---|---:|
| Brute force 256-bit AES session key
| 2^256 operations — billions of years, effectively never |
| Factoring a 2048-bit RSA key
| Factoring a 2048-bit RSA key
| Classical computers: many billions of years; quantum
computers at scale: still not practical today |
| Brute force 4096-bit RSA
| Brute force 4096-bit RSA
| Even worse |
| Brute force a 20-character random passphrase
| Brute force a 20-character random passphrase
| Comparable to 128-bit or higher entropy — infeasible |
So a strongly protected PGP file is **not cracked** in any meaningful human timeframe.
### If the passphrase is weak
| Passphrase type | Time on normal hardware |
|---|---:|
| “password123” | seconds to minutes with a dictionary attack |
| “I love you” | seconds to minutes |
| A random 6-character password | minutes to hours |
| A random 8-character password | days to months |
|---|---:|
| “password123” | seconds to minutes with a dictionary attack |
| “I love you” | seconds to minutes |
| A random 6-character password | minutes to hours |
| A random 8-character password | days to months |
| A long passphrase with lowercase and numbers only but not random
| can be cracked faster with rules |
So PGP security depends mostly on:
- the strength of the private key passphrase,
- the key size,
- and whether the private key has been exposed.
---
## Why PGP is different from your prime scheme
Your scheme:
C = K \times P
reuses K, so GCD recovers K instantly.
PGP does not have that flaw because:
- The symmetric cipher uses a unique random session key for each file.
- The public-key part uses padded RSA or elliptic-curve encryption, not direct prime multiplication with reusable plaintext factors.
- No repeated multiplication of the same secret prime is exposed to GCD.
---
## Bottom line
- Your layered prime system is **fast and stealthy**, but cryptographically weak.
- A PGP encrypted file is **strong and openly encrypted**, but attracts attention.
- If someone finds the PGP file and the passphrase is strong, they cannot break it with any normal hardware.
- If the passphrase is weak, they can break it in seconds with a dictionary attack.
So the real difference is:
> Your system hides a weak secret.
> PGP protects a strong secret, but everyone can see there is a secret.
how much smaller is my table system than PGP? And how large are the largest known prime numbers?
## How much smaller is your table system than PGP?
If by “smaller” you mean the **size of the encrypted output**, then your prime-table system is **much larger**, not smaller.
### Your table system
- Each plaintext character becomes a product of two primes.
- Example: symbol prime = 12 digits, key prime = 24 digits → product ≈ 36 decimal digits.
- In binary, 36 decimal digits ≈ 120 bits ≈ 15 bytes.
- So every single character expands to roughly **15 bytes** of ciphertext.
A 1,000-character message becomes:
1000 times 15 = 15,000 bytes
plus any length indicators, separators, transposition overhead.
### PGP
- PGP normally uses a symmetric cipher like AES for the message.
- AES output is the **same size as the plaintext** (plus a small authentication tag, maybe 16 bytes).
- Public-key encryption of the session key adds only a few hundred bytes.
- A 1,000-character message stays around **1,000–1,500 bytes** total.
So PGP is **10–15 times smaller** than your prime-table encoding, despite being vastly stronger cryptographically.
---
## How large are the largest known prime numbers?
As of the latest discovery by GIMPS:
> The largest known prime is
> **2^136,279,841 - 1**
> a Mersenne prime with **41,024,320 decimal digits**.
It was discovered in October 2024.
- Mersenne primes have the form 2^p - 1 where p is prime.
- This number is so large that writing it out would fill about 15,000 pages of a typical book.
- It has no practical use in encryption because it is far too large for normal arithmetic, and cryptography does not need primes that big.
For RSA and other cryptosystems, primes with **300–1200 decimal digits** (1024–4096 bits) are more than enough and are used every day.
---
## Bottom line
- Your prime-table cipher output is **~15× larger** than PGP ciphertext for the same message.
- The largest known primes are tens of millions of digits long, but those are only for record-breaking mathematical research — not for practical encryption.
- Modern cryptography is both **stronger** and **much smaller in output size** than a prime-multiplication scheme.
If by “smaller” you mean the **size of the encrypted output**, then your prime-table system is **much larger**, not smaller.
### Your table system
- Each plaintext character becomes a product of two primes.
- Example: symbol prime = 12 digits, key prime = 24 digits → product ≈ 36 decimal digits.
- In binary, 36 decimal digits ≈ 120 bits ≈ 15 bytes.
- So every single character expands to roughly **15 bytes** of ciphertext.
A 1,000-character message becomes:
1000 times 15 = 15,000 bytes
plus any length indicators, separators, transposition overhead.
### PGP
- PGP normally uses a symmetric cipher like AES for the message.
- AES output is the **same size as the plaintext** (plus a small authentication tag, maybe 16 bytes).
- Public-key encryption of the session key adds only a few hundred bytes.
- A 1,000-character message stays around **1,000–1,500 bytes** total.
So PGP is **10–15 times smaller** than your prime-table encoding, despite being vastly stronger cryptographically.
---
## How large are the largest known prime numbers?
As of the latest discovery by GIMPS:
> The largest known prime is
> **2^136,279,841 - 1**
> a Mersenne prime with **41,024,320 decimal digits**.
It was discovered in October 2024.
- Mersenne primes have the form 2^p - 1 where p is prime.
- This number is so large that writing it out would fill about 15,000 pages of a typical book.
- It has no practical use in encryption because it is far too large for normal arithmetic, and cryptography does not need primes that big.
For RSA and other cryptosystems, primes with **300–1200 decimal digits** (1024–4096 bits) are more than enough and are used every day.
---
## Bottom line
- Your prime-table cipher output is **~15× larger** than PGP ciphertext for the same message.
- The largest known primes are tens of millions of digits long, but those are only for record-breaking mathematical research — not for practical encryption.
- Modern cryptography is both **stronger** and **much smaller in output size** than a prime-multiplication scheme.
Please tell me how PGP exactly works.
PGP is a **hybrid cryptosystem**. It does not encrypt the whole message directly with RSA. Instead it combines:
- a fast symmetric cipher for the message,
- public-key encryption only for the small symmetric key,
- digital signatures,
- compression,
- and a packet-based format.
It is defined in the **OpenPGP** standard, RFC 4880.
---
## 1. Key pairs
Each user has a public/private key pair.
- **Public key**: shared with others; used to encrypt to you and verify your signatures.
- **Private key**: kept secret; protected by a passphrase; used to decrypt and sign.
Common public-key algorithms in PGP:
- RSA
- ElGamal
- DSA
- ECDH / ECDSA
- EdDSA
---
## 2. Encryption process
Suppose Alice wants to send Bob a message.
### Step 1: Generate a random session key
PGP creates a random symmetric key for a cipher like:
- AES-128 / AES-256
- ChaCha20
- Twofish
- Camellia
This session key is used only once for this message.
### Step 2: Compress the plaintext
The plaintext is usually compressed using ZIP or ZLIB. Compression reduces size and removes some patterns that help cryptanalysis.
### Step 3: Encrypt the message with the session key
The compressed plaintext is encrypted with the symmetric cipher using the session key.
```
encrypted_message = AES-256(plaintext, session_key)
```
### Step 4: Encrypt the session key with Bob’s public key
The small session key is encrypted with Bob’s public key using an asymmetric algorithm.
```
encrypted_session_key = RSA(session_key, Bob_public_key)
```
Or with ElGamal or ECDH, depending on the key type.
### Step 5: Combine into a PGP message
The final PGP message contains:
- the encrypted session key,
- the encrypted message,
- metadata (algorithm IDs, packet lengths, etc.)
---
## 3. Decryption process
Bob receives the PGP message.
### Step 1: Decrypt the session key
Bob uses his private key to decrypt the encrypted session key.
```
session_key = RSA_decrypt(encrypted_session_key, Bob_private_key)
```
Bob’s private key is itself protected by a passphrase, so he must enter it or have it unlocked.
### Step 2: Decrypt the message
Bob uses the recovered session key to decrypt the symmetric encrypted message.
```
compressed_plaintext = AES_decrypt(encrypted_message, session_key)
```
### Step 3: Decompress
Bob decompresses the result to get the original plaintext.
---
## 4. Digital signatures
PGP can also sign messages, separate from encryption.
### Signing
1. Alice hashes the message with a hash function like SHA-256.
2. Alice encrypts the hash with her private key, producing a signature.
3. The signature is attached to the message.
### Verification
1. Bob decrypts the signature with Alice’s public key, recovering the original hash.
2. Bob hashes the message himself.
3. If the hashes match, the signature is valid and the message has not been altered.
---
## 5. Key management and trust
PGP does not rely on central certificate authorities like typical PKI. Instead it uses:
- **Key fingerprints**: short unique identifiers for public keys.
- **Key servers**: public directories for keys.
- **Web of trust**: users sign each other’s keys to vouch for authenticity.
You decide whose keys you trust, and how much you trust their signatures on others.
---
## 6. Why PGP is strong
- The message body is encrypted with a **random one-time symmetric key**, so no GCD shortcut applies.
- The session key is small enough for RSA/ElGamal/ECDH to encrypt securely.
- The private key never leaves the user’s device.
- If the passphrase is strong and the private key is not stolen, brute force is impossible with current technology.
---
## Summary diagram
```
Sender:
plaintext → compress → symmetric encrypt with random session key
session key encrypted with recipient's public key
→ both combined into PGP packet
Recipient:
receive packet → decrypt session key with private key
→ symmetric decrypt with session key
→ decompress → plaintext
```
PGP is essentially:
> A fast symmetric cipher for the message,
> plus a secure public-key wrapper for the symmetric key,
> plus optional digital signatures and compression.
- a fast symmetric cipher for the message,
- public-key encryption only for the small symmetric key,
- digital signatures,
- compression,
- and a packet-based format.
It is defined in the **OpenPGP** standard, RFC 4880.
---
## 1. Key pairs
Each user has a public/private key pair.
- **Public key**: shared with others; used to encrypt to you and verify your signatures.
- **Private key**: kept secret; protected by a passphrase; used to decrypt and sign.
Common public-key algorithms in PGP:
- RSA
- ElGamal
- DSA
- ECDH / ECDSA
- EdDSA
---
## 2. Encryption process
Suppose Alice wants to send Bob a message.
### Step 1: Generate a random session key
PGP creates a random symmetric key for a cipher like:
- AES-128 / AES-256
- ChaCha20
- Twofish
- Camellia
This session key is used only once for this message.
### Step 2: Compress the plaintext
The plaintext is usually compressed using ZIP or ZLIB. Compression reduces size and removes some patterns that help cryptanalysis.
### Step 3: Encrypt the message with the session key
The compressed plaintext is encrypted with the symmetric cipher using the session key.
```
encrypted_message = AES-256(plaintext, session_key)
```
### Step 4: Encrypt the session key with Bob’s public key
The small session key is encrypted with Bob’s public key using an asymmetric algorithm.
```
encrypted_session_key = RSA(session_key, Bob_public_key)
```
Or with ElGamal or ECDH, depending on the key type.
### Step 5: Combine into a PGP message
The final PGP message contains:
- the encrypted session key,
- the encrypted message,
- metadata (algorithm IDs, packet lengths, etc.)
---
## 3. Decryption process
Bob receives the PGP message.
### Step 1: Decrypt the session key
Bob uses his private key to decrypt the encrypted session key.
```
session_key = RSA_decrypt(encrypted_session_key, Bob_private_key)
```
Bob’s private key is itself protected by a passphrase, so he must enter it or have it unlocked.
### Step 2: Decrypt the message
Bob uses the recovered session key to decrypt the symmetric encrypted message.
```
compressed_plaintext = AES_decrypt(encrypted_message, session_key)
```
### Step 3: Decompress
Bob decompresses the result to get the original plaintext.
---
## 4. Digital signatures
PGP can also sign messages, separate from encryption.
### Signing
1. Alice hashes the message with a hash function like SHA-256.
2. Alice encrypts the hash with her private key, producing a signature.
3. The signature is attached to the message.
### Verification
1. Bob decrypts the signature with Alice’s public key, recovering the original hash.
2. Bob hashes the message himself.
3. If the hashes match, the signature is valid and the message has not been altered.
---
## 5. Key management and trust
PGP does not rely on central certificate authorities like typical PKI. Instead it uses:
- **Key fingerprints**: short unique identifiers for public keys.
- **Key servers**: public directories for keys.
- **Web of trust**: users sign each other’s keys to vouch for authenticity.
You decide whose keys you trust, and how much you trust their signatures on others.
---
## 6. Why PGP is strong
- The message body is encrypted with a **random one-time symmetric key**, so no GCD shortcut applies.
- The session key is small enough for RSA/ElGamal/ECDH to encrypt securely.
- The private key never leaves the user’s device.
- If the passphrase is strong and the private key is not stolen, brute force is impossible with current technology.
---
## Summary diagram
```
Sender:
plaintext → compress → symmetric encrypt with random session key
session key encrypted with recipient's public key
→ both combined into PGP packet
Recipient:
receive packet → decrypt session key with private key
→ symmetric decrypt with session key
→ decompress → plaintext
```
PGP is essentially:
> A fast symmetric cipher for the message,
> plus a secure public-key wrapper for the symmetric key,
> plus optional digital signatures and compression.
So it uses a much more aggressive formula than primenumber_letter times primenumber_key = code_number and zip to further fuzzy the resulting file.
My system, being super simple in terms of mathematics, is prone to brute force attacks because the formula is way too simple and a computer easily can brute force that by going through number parts and looking if it was a prime number using GCD.
Now lets get practical: 97 times 19 equals 1843. 41 times 19 equals 779. 418433779 What does that tell you? And another AI even in context told me:
The number 418,433,779 is a composite number made by multiplying four distinct prime numbers together.Its unique prime factorization is:\(418,433,779=23\times 29\times 257\times 2,441\)
While it is lengthindictor(realnumber no coded) prime times prime lengthindictor(realnumber no coded) prime times prime.
My system, being super simple in terms of mathematics, is prone to brute force attacks because the formula is way too simple and a computer easily can brute force that by going through number parts and looking if it was a prime number using GCD.
Now lets get practical: 97 times 19 equals 1843. 41 times 19 equals 779. 418433779 What does that tell you? And another AI even in context told me:
The number 418,433,779 is a composite number made by multiplying four distinct prime numbers together.Its unique prime factorization is:\(418,433,779=23\times 29\times 257\times 2,441\)
While it is lengthindictor(realnumber no coded) prime times prime lengthindictor(realnumber no coded) prime times prime.
Your example is perfect for seeing the issue.
You encoded:
- first character: \(97 \times 19 = 1843\)
- second character: \(41 \times 19 = 779\)
Then you wrote it as:
```
length indicator 4 | 1843 | length indicator 3 | 779
```
giving:
```
4 1843 3 779 = 418433779
```
An attacker who knows or guesses this framing can immediately split it back into:
```
1843 and 779
```
Then they compute:
\[
\gcd(1843, 779) = 19
\]
That reveals the shared secret key \(K = 19\).
Then they recover your original primes:
\[
1843 / 19 = 97
\]
\[
779 / 19 = 41
\]
So the two plaintext primes are exposed.
This happens **without factoring 1843 or 779**. Euclid’s algorithm just finds the common divisor directly.
---
## What the other AI did
The other AI took the whole 9-digit number:
\[
418433779
\]
and factored it as:
\[
23 \times 29 \times 257 \times 2441
\]
That is mathematically correct as an integer factorization of the concatenated number.
But that factorization is **irrelevant** to your cipher, because your ciphertext was not the product of all those pieces. It was a digit-string concatenation:
\[
4 || 1843 || 3 || 779
\]
Concatenation and multiplication are completely different operations.
So the other AI did not see your framing and factored the wrong thing.
---
## What this tells you
1. **Length indicators make parsing easy for an attacker who knows the scheme.**
In your example, the number practically announces where one product ends and the next begins.
2. **The GCD attack still works after parsing.**
As soon as the attacker has two numbers that were both multiplied by the same key \(K\), they recover \(K\).
3. **Factoring the whole concatenated number does not reveal your primes.**
But that does not help you. The attacker will not factor the whole number if they understand the framing.
4. **The weakness is not the size of the primes or the length indicators.**
It is that the same multiplier \(K=19\) was used for both characters.
Any shared factor across multiple ciphertext numbers will be exposed by GCD.
---
## In numbers
Your full example on a normal laptop:
| Step | Time |
|---|---:|
| Split after length indicators | trivial |
| GCD of 1843 and 779 | microseconds |
| Recover \(K=19\) | instant |
| Divide products by \(K\) | instant |
Total time: effectively **0.000001 seconds**.
---
So your example shows exactly why the prime-multiplication scheme with a reused key is not secure, no matter how large the primes are or how you mark the lengths.
You encoded:
- first character: \(97 \times 19 = 1843\)
- second character: \(41 \times 19 = 779\)
Then you wrote it as:
```
length indicator 4 | 1843 | length indicator 3 | 779
```
giving:
```
4 1843 3 779 = 418433779
```
An attacker who knows or guesses this framing can immediately split it back into:
```
1843 and 779
```
Then they compute:
\[
\gcd(1843, 779) = 19
\]
That reveals the shared secret key \(K = 19\).
Then they recover your original primes:
\[
1843 / 19 = 97
\]
\[
779 / 19 = 41
\]
So the two plaintext primes are exposed.
This happens **without factoring 1843 or 779**. Euclid’s algorithm just finds the common divisor directly.
---
## What the other AI did
The other AI took the whole 9-digit number:
\[
418433779
\]
and factored it as:
\[
23 \times 29 \times 257 \times 2441
\]
That is mathematically correct as an integer factorization of the concatenated number.
But that factorization is **irrelevant** to your cipher, because your ciphertext was not the product of all those pieces. It was a digit-string concatenation:
\[
4 || 1843 || 3 || 779
\]
Concatenation and multiplication are completely different operations.
So the other AI did not see your framing and factored the wrong thing.
---
## What this tells you
1. **Length indicators make parsing easy for an attacker who knows the scheme.**
In your example, the number practically announces where one product ends and the next begins.
2. **The GCD attack still works after parsing.**
As soon as the attacker has two numbers that were both multiplied by the same key \(K\), they recover \(K\).
3. **Factoring the whole concatenated number does not reveal your primes.**
But that does not help you. The attacker will not factor the whole number if they understand the framing.
4. **The weakness is not the size of the primes or the length indicators.**
It is that the same multiplier \(K=19\) was used for both characters.
Any shared factor across multiple ciphertext numbers will be exposed by GCD.
---
## In numbers
Your full example on a normal laptop:
| Step | Time |
|---|---:|
| Split after length indicators | trivial |
| GCD of 1843 and 779 | microseconds |
| Recover \(K=19\) | instant |
| Divide products by \(K\) | instant |
Total time: effectively **0.000001 seconds**.
---
So your example shows exactly why the prime-multiplication scheme with a reused key is not secure, no matter how large the primes are or how you mark the lengths.
"An attacker who knows or guesses this framing can immediately split it back into" is about the same level of argument as I nick the private PGP key.
You’re right that the threat model matters. But there is an important difference between:
- **“Attacker knows the framing/algorithm”**
- **“Attacker steals the private PGP key”**
They are not equivalent.
---
## 1. In modern cryptography, we assume the attacker knows everything except the key
This is **Kerckhoffs’s principle**:
> The system should remain secure even if everything about the system, except the key, is public knowledge.
PGP follows this. The format, algorithms, packet structure, compression method — all public. The only secret is the private key.
Your system instead relies partly on the secrecy of the **framing**:
- that it is prime multiplication,
- that there are length indicators,
- how the numbers are concatenated,
- how the table/stick works.
If the framing is secret, you have a **secret algorithm**, not just a secret key.
---
## 2. Secret algorithms are much harder to protect than secret keys
A private PGP key is:
- a single file,
- protected by a passphrase,
- stored offline if desired,
- not present in ciphertext.
The framing of your system is:
- embedded in any software you write,
- shared between sender and receiver,
- potentially inferable from the ciphertext itself,
- impossible to change easily after deployment.
If the framing leaks or is guessed, all messages break.
If a PGP private key leaks, that key is compromised, but other users’ keys remain safe, and the algorithm is still fine.
---
## 3. The GCD attack does not require the attacker to know the framing exactly
In your example, the ciphertext is:
```
418433779
```
An attacker might not know that it means:
```
4 | 1843 | 3 | 779
```
But they can try many possible split points:
- Split after 1 digit, 2 digits, 3 digits, etc.
- For each split, take two chunks and compute GCD.
- If both chunks are products of the same key, GCD reveals that key.
For a short number like this, that search takes microseconds.
Even if you remove the length indicators and just concatenate the products, an attacker can still brute-force plausible splits and run GCD on pairs. The key reuse is still fatal.
---
## 4. “I nick the private PGP key” is a different class of attack
Stealing a PGP private key usually requires:
- physical access,
- malware,
- phishing,
- user mistake,
- or coercion.
It is not a cryptanalytic attack. It is a **key management failure**.
In your prime scheme, the GCD attack requires only:
- the ciphertext,
- the ability to try possible splits,
- and a laptop.
No theft, no malware, no physical access.
So the attacker’s effort is orders of magnitude lower.
---
## 5. If you really keep the framing secret, then you have a form of steganography, not cryptography
That can be useful for hiding messages in plain sight. But:
- The security depends on the framing secret, not the mathematics.
- Once the framing is known, the math collapses immediately.
- PGP remains secure even when the framing is known.
---
## Bottom line
| | PGP | Your prime scheme |
|---|---|---|
| Algorithm/framing secret? | No | Yes, if you rely on it |
| Main secret | Private key | Framing plus multiplier |
| If attacker knows algorithm | Still secure | Broken via GCD |
| Attack to break cryptographically | Hard number theory problem | GCD in milliseconds |
| Key theft | Catastrophic for that key | Catastrophic for all messages |
So it is not the same level of argument.
“Knowing the framing” is a much weaker assumption than “stealing a private key.” And in most real-world scenarios, the framing will eventually be discovered or inferred, because you have to implement it somewhere.
Your system is interesting as a layered hidden channel, but it is not a strong encryption scheme by modern standards.
- **“Attacker knows the framing/algorithm”**
- **“Attacker steals the private PGP key”**
They are not equivalent.
---
## 1. In modern cryptography, we assume the attacker knows everything except the key
This is **Kerckhoffs’s principle**:
> The system should remain secure even if everything about the system, except the key, is public knowledge.
PGP follows this. The format, algorithms, packet structure, compression method — all public. The only secret is the private key.
Your system instead relies partly on the secrecy of the **framing**:
- that it is prime multiplication,
- that there are length indicators,
- how the numbers are concatenated,
- how the table/stick works.
If the framing is secret, you have a **secret algorithm**, not just a secret key.
---
## 2. Secret algorithms are much harder to protect than secret keys
A private PGP key is:
- a single file,
- protected by a passphrase,
- stored offline if desired,
- not present in ciphertext.
The framing of your system is:
- embedded in any software you write,
- shared between sender and receiver,
- potentially inferable from the ciphertext itself,
- impossible to change easily after deployment.
If the framing leaks or is guessed, all messages break.
If a PGP private key leaks, that key is compromised, but other users’ keys remain safe, and the algorithm is still fine.
---
## 3. The GCD attack does not require the attacker to know the framing exactly
In your example, the ciphertext is:
```
418433779
```
An attacker might not know that it means:
```
4 | 1843 | 3 | 779
```
But they can try many possible split points:
- Split after 1 digit, 2 digits, 3 digits, etc.
- For each split, take two chunks and compute GCD.
- If both chunks are products of the same key, GCD reveals that key.
For a short number like this, that search takes microseconds.
Even if you remove the length indicators and just concatenate the products, an attacker can still brute-force plausible splits and run GCD on pairs. The key reuse is still fatal.
---
## 4. “I nick the private PGP key” is a different class of attack
Stealing a PGP private key usually requires:
- physical access,
- malware,
- phishing,
- user mistake,
- or coercion.
It is not a cryptanalytic attack. It is a **key management failure**.
In your prime scheme, the GCD attack requires only:
- the ciphertext,
- the ability to try possible splits,
- and a laptop.
No theft, no malware, no physical access.
So the attacker’s effort is orders of magnitude lower.
---
## 5. If you really keep the framing secret, then you have a form of steganography, not cryptography
That can be useful for hiding messages in plain sight. But:
- The security depends on the framing secret, not the mathematics.
- Once the framing is known, the math collapses immediately.
- PGP remains secure even when the framing is known.
---
## Bottom line
| | PGP | Your prime scheme |
|---|---|---|
| Algorithm/framing secret? | No | Yes, if you rely on it |
| Main secret | Private key | Framing plus multiplier |
| If attacker knows algorithm | Still secure | Broken via GCD |
| Attack to break cryptographically | Hard number theory problem | GCD in milliseconds |
| Key theft | Catastrophic for that key | Catastrophic for all messages |
So it is not the same level of argument.
“Knowing the framing” is a much weaker assumption than “stealing a private key.” And in most real-world scenarios, the framing will eventually be discovered or inferred, because you have to implement it somewhere.
Your system is interesting as a layered hidden channel, but it is not a strong encryption scheme by modern standards.
I understand that. It is a very different design and base philosphy. I think both might have a point. PGP is great for long term back up security of large data sets. They cant be hidden and the owner wants to be sure to have them in his storage save on a hard drive being secure.
My way needs a small software that can be deeply embedded into an standard computer. We than can hide the number string in pixel mistakes of a jpg. It is great for short messages that wait to be discovered. The key then can be as little as the 415th known prime number. All you need to know and having the picture.
My way needs a small software that can be deeply embedded into an standard computer. We than can hide the number string in pixel mistakes of a jpg. It is great for short messages that wait to be discovered. The key then can be as little as the 415th known prime number. All you need to know and having the picture.
Your perspective is valid: you’re designing for **covert low-profile communication**, not for maximum cryptographic strength. That’s a legitimate goal, and historically it’s how many real spy systems worked — weak math, but hidden and rarely used.
Still, a few practical points if you want to make it workable:
## 1. The key size matters even for a covert channel
The 415th known prime is roughly **2861**.
If you multiply two 12-digit primes by 2861, you get 15-digit products. GCD on two such numbers is still microseconds. And if you ever send two messages with the same key, an attacker who suspects your scheme can recover the key instantly by GCD.
**Better:** Use a different random 24-digit prime key for each message, and communicate that key via some prearranged method (e.g., a one-time list, or derived from a shared secret seed). Then GCD across messages fails because keys are not reused.
## 2. The hidden software is your real vulnerability
A small embedded encoder/decoder inside a Linux system is likely to be found if the system is inspected. If an adversary finds the software, they can reverse engineer it and learn:
- the prime-table structure,
- the framing,
- how the key is chosen.
Then the only remaining secret is the key itself. If you reuse a small key like the 415th prime, all messages are immediately breakable.
So the software must be very well hidden (kernel module, rootkit, steganographically embedded in an innocent tool, etc.), and ideally it should self-destruct or be deniable.
## 3. Steganography quality matters
“Pixel mistakes” in a JPEG can be detected by modern steganalysis tools if the embedding is not designed carefully.
- Least-significant-bit flipping in JPEG DCT coefficients often leaves statistical traces.
- Tools like `stegdetect` or more advanced machine-learning detectors can flag images with hidden data.
If you want to stay unnoticed, you need a high-quality steganographic algorithm (e.g., F5, OutGuess, or modern adaptive methods) that preserves the image’s statistical profile.
## 4. The real strength is “low probability of detection”
If:
- the image looks completely normal,
- the software is never found,
- the key is never reused,
- and you only send a few short messages,
then the system can work for a while, even if the math is weak. In that sense, you’re relying on **operational security**, not cryptographic security.
That’s a valid trade-off.
## 5. Could you improve the math without losing the simplicity?
Yes, a little:
- Instead of multiplying by a prime, use **modular addition** with a random number per symbol:
Still, a few practical points if you want to make it workable:
## 1. The key size matters even for a covert channel
The 415th known prime is roughly **2861**.
If you multiply two 12-digit primes by 2861, you get 15-digit products. GCD on two such numbers is still microseconds. And if you ever send two messages with the same key, an attacker who suspects your scheme can recover the key instantly by GCD.
**Better:** Use a different random 24-digit prime key for each message, and communicate that key via some prearranged method (e.g., a one-time list, or derived from a shared secret seed). Then GCD across messages fails because keys are not reused.
## 2. The hidden software is your real vulnerability
A small embedded encoder/decoder inside a Linux system is likely to be found if the system is inspected. If an adversary finds the software, they can reverse engineer it and learn:
- the prime-table structure,
- the framing,
- how the key is chosen.
Then the only remaining secret is the key itself. If you reuse a small key like the 415th prime, all messages are immediately breakable.
So the software must be very well hidden (kernel module, rootkit, steganographically embedded in an innocent tool, etc.), and ideally it should self-destruct or be deniable.
## 3. Steganography quality matters
“Pixel mistakes” in a JPEG can be detected by modern steganalysis tools if the embedding is not designed carefully.
- Least-significant-bit flipping in JPEG DCT coefficients often leaves statistical traces.
- Tools like `stegdetect` or more advanced machine-learning detectors can flag images with hidden data.
If you want to stay unnoticed, you need a high-quality steganographic algorithm (e.g., F5, OutGuess, or modern adaptive methods) that preserves the image’s statistical profile.
## 4. The real strength is “low probability of detection”
If:
- the image looks completely normal,
- the software is never found,
- the key is never reused,
- and you only send a few short messages,
then the system can work for a while, even if the math is weak. In that sense, you’re relying on **operational security**, not cryptographic security.
That’s a valid trade-off.
## 5. Could you improve the math without losing the simplicity?
Yes, a little:
- Instead of multiplying by a prime, use **modular addition** with a random number per symbol:
C = P \oplus K (XOR) or C = (P + K) bmod m.
This is faster and avoids the GCD shortcut entirely.
- Use a **stream cipher** like ChaCha20 with a secret key and nonce. It’s still very fast and produces output that looks random.
- Then hide the output in the image.
But then you lose the “all you need is the 415th prime” simplicity. However, you gain real security.
---
## Bottom line
Your approach can serve as a **covert channel with a low profile**, as long as:
- you never reuse the same key across messages,
- the key is large enough to make GCD attacks futile (or you switch to a different operation),
- the steganography is high quality,
- and the software remains undetected.
If any of those fail, the system falls quickly. But for short-lived, low-volume covert communication, it can be enough if you accept the risks.
This is faster and avoids the GCD shortcut entirely.
- Use a **stream cipher** like ChaCha20 with a secret key and nonce. It’s still very fast and produces output that looks random.
- Then hide the output in the image.
But then you lose the “all you need is the 415th prime” simplicity. However, you gain real security.
---
## Bottom line
Your approach can serve as a **covert channel with a low profile**, as long as:
- you never reuse the same key across messages,
- the key is large enough to make GCD attacks futile (or you switch to a different operation),
- the steganography is high quality,
- and the software remains undetected.
If any of those fail, the system falls quickly. But for short-lived, low-volume covert communication, it can be enough if you accept the risks.
#cyberpunkcoltoure #undergroundwars
PS:
I just read that Linux cannot natively at a "PGP level. Could my basic system be added? The key is the password?
You’re asking two things:
1. Could your prime-table system be added to Linux, since Linux doesn’t natively include PGP?
2. Is the key just a password?
Let’s separate them.
---
## 1. Linux and PGP
Linux itself does not have PGP built into the kernel. But almost every Linux distribution includes or can install **GnuPG**, which is a full OpenPGP implementation.
So “Linux cannot natively do PGP” is a bit misleading:
- Kernel / core OS: no PGP
- User space: GnuPG works perfectly, and is usually preinstalled
If you want filesystem-level encryption, Linux has **LUKS / dm-crypt**, which is native and strong. But that’s not PGP; it’s disk encryption.
So Linux can definitely do PGP-level encryption, just not inside the kernel by default.
---
## 2. Could your basic system be added to Linux?
Yes, technically.
You could write:
- a small C or Python program that implements your prime-table cipher,
- a command-line tool like `primecrypt -e message.txt`,
- even a kernel module that hooks into file operations.
But adding it as a kernel module is dangerous, complex, and unnecessary for a short-message covert channel.
A simple user-space program is enough. You can then take the output digit string and hide it in a JPEG or MP3.
So yes, it can be added. But that does not make it secure.
---
## 3. “The key is the password?”
In your system, the key is the prime \(K\) that multiplies every symbol prime.
If you derive \(K\) from a password, then the password is the secret that unlocks the key, but the actual multiplier \(K\) is the mathematical key.
For example:
```
password = "correct horse battery staple"
K = derive_large_prime_from_password(password)
```
Then you use \(K\) for every character.
But here is the critical problem:
> If you encrypt more than one character with the same \(K\), an attacker can compute
> \( \gcd(C_1, C_2) = K \)
> from any two ciphertext numbers in the same message.
This works **without knowing the password**.
So even if your password is strong, the scheme is broken as soon as the attacker has two ciphertext numbers from the same message.
---
## 4. What would the attack look like on Linux?
Assume you added your tool to Linux and encrypted:
```
I love you
```
You produce a long digit string.
An attacker who knows the tool, or guesses the framing, extracts two numbers and runs:
```python
import math
K = math.gcd(C1, C2)
```
They get \(K\).
Then they divide every ciphertext number by \(K\) and recover all symbol primes.
Password never needed.
Time on a normal Linux laptop:
| Step | Time |
|---|---:|
| Extract two numbers | milliseconds |
| GCD | microseconds |
| Decrypt all symbols | milliseconds |
Total: **under 0.1 seconds**.
---
## 5. Could the password fix it?
Only if you use a **different \(K\) for every symbol**.
That means deriving a unique multiplier for each character from the password plus a counter or nonce. But then you’re no longer using your simple prime multiplication; you’re using something closer to a stream cipher.
A stream cipher works like:
```
key_stream = ChaCha20(password, nonce)
ciphertext = plaintext XOR key_stream
```
That is fast and secure, but it is not your prime table anymore.
---
## Bottom line
- Linux can run PGP via GnuPG.
- Your system could be added as a user-space program, but not needed in the kernel.
- Using a password to derive \(K\) does not stop the GCD attack if \(K\) is reused within a message.
- For real security, use GnuPG or a modern stream cipher, then hide the output with steganography if you want covertness.
Your system is fine as a historical or covert experiment, but not as a replacement for PGP.
1. Could your prime-table system be added to Linux, since Linux doesn’t natively include PGP?
2. Is the key just a password?
Let’s separate them.
---
## 1. Linux and PGP
Linux itself does not have PGP built into the kernel. But almost every Linux distribution includes or can install **GnuPG**, which is a full OpenPGP implementation.
So “Linux cannot natively do PGP” is a bit misleading:
- Kernel / core OS: no PGP
- User space: GnuPG works perfectly, and is usually preinstalled
If you want filesystem-level encryption, Linux has **LUKS / dm-crypt**, which is native and strong. But that’s not PGP; it’s disk encryption.
So Linux can definitely do PGP-level encryption, just not inside the kernel by default.
---
## 2. Could your basic system be added to Linux?
Yes, technically.
You could write:
- a small C or Python program that implements your prime-table cipher,
- a command-line tool like `primecrypt -e message.txt`,
- even a kernel module that hooks into file operations.
But adding it as a kernel module is dangerous, complex, and unnecessary for a short-message covert channel.
A simple user-space program is enough. You can then take the output digit string and hide it in a JPEG or MP3.
So yes, it can be added. But that does not make it secure.
---
## 3. “The key is the password?”
In your system, the key is the prime \(K\) that multiplies every symbol prime.
If you derive \(K\) from a password, then the password is the secret that unlocks the key, but the actual multiplier \(K\) is the mathematical key.
For example:
```
password = "correct horse battery staple"
K = derive_large_prime_from_password(password)
```
Then you use \(K\) for every character.
But here is the critical problem:
> If you encrypt more than one character with the same \(K\), an attacker can compute
> \( \gcd(C_1, C_2) = K \)
> from any two ciphertext numbers in the same message.
This works **without knowing the password**.
So even if your password is strong, the scheme is broken as soon as the attacker has two ciphertext numbers from the same message.
---
## 4. What would the attack look like on Linux?
Assume you added your tool to Linux and encrypted:
```
I love you
```
You produce a long digit string.
An attacker who knows the tool, or guesses the framing, extracts two numbers and runs:
```python
import math
K = math.gcd(C1, C2)
```
They get \(K\).
Then they divide every ciphertext number by \(K\) and recover all symbol primes.
Password never needed.
Time on a normal Linux laptop:
| Step | Time |
|---|---:|
| Extract two numbers | milliseconds |
| GCD | microseconds |
| Decrypt all symbols | milliseconds |
Total: **under 0.1 seconds**.
---
## 5. Could the password fix it?
Only if you use a **different \(K\) for every symbol**.
That means deriving a unique multiplier for each character from the password plus a counter or nonce. But then you’re no longer using your simple prime multiplication; you’re using something closer to a stream cipher.
A stream cipher works like:
```
key_stream = ChaCha20(password, nonce)
ciphertext = plaintext XOR key_stream
```
That is fast and secure, but it is not your prime table anymore.
---
## Bottom line
- Linux can run PGP via GnuPG.
- Your system could be added as a user-space program, but not needed in the kernel.
- Using a password to derive \(K\) does not stop the GCD attack if \(K\) is reused within a message.
- For real security, use GnuPG or a modern stream cipher, then hide the output with steganography if you want covertness.
Your system is fine as a historical or covert experiment, but not as a replacement for PGP.
It could be kernel made, right? Would it make cracking a harddisc attached to another computer hard having no password?
Yes, your prime-table system **could** be implemented as a Linux kernel module or a custom encryption layer. But that would **not** make a hard disk harder to crack if the disk is attached to another computer. In fact, it would likely be much easier to break than existing disk encryption.
Let’s go through the scenario.
---
## 1. The offline hard disk attack
If someone removes your hard disk and attaches it to another computer, they can read all raw sectors. They do not need to boot your Linux system. They see the ciphertext exactly as written to disk.
If your kernel module encrypted the disk with:
\[
C = K \times P
\]
where:
- \(K\) is a fixed multiplier,
- \(P\) is some plaintext block represented as a large integer,
then the attacker can take any two ciphertext blocks from the disk:
\[
C_1 = K \times P_1
\]
\[
C_2 = K \times P_2
\]
and compute:
\[
\gcd(C_1, C_2) = K
\]
because \(P_1\) and \(P_2\) are different and have no common factor.
So **the disk is decrypted without any password**, in milliseconds, using only two ciphertext blocks.
---
## 2. If there is no password, where is the key?
You asked specifically: *“having no password.”*
If there is no password, then the key \(K\) must be stored somewhere:
- in the kernel module,
- in a file on the disk,
- in the initramfs,
- or in the partition header.
An attacker who can attach the disk to another computer can also read those areas. They can extract \(K\) directly.
Even if \(K\) is hidden inside the kernel binary, the attacker can reverse engineer the module and recover it.
So a passwordless key is **always recoverable** by someone with physical access.
---
## 3. Kernel implementation does not add security
Making it a kernel module only changes **where** the encryption happens, not **what** the encryption does.
The attacker does not care whether the ciphertext was produced by user space or kernel space. They just read the raw bytes from the disk and run the GCD attack.
In modern security, we assume:
> The attacker knows everything about the algorithm. Only the key is secret.
Your prime-multiplication scheme relies on the algorithm being secret. Once it is known, the math collapses.
---
## 4. Comparison with existing Linux disk encryption
Linux already has strong native disk encryption: **LUKS / dm-crypt**.
| | Your prime scheme in kernel | LUKS / dm-crypt |
|---|---|---|
| Algorithm secret? | Partly | No, fully public |
| Key secret? | Maybe, but reused | Yes, random per volume |
| Offline GCD attack? | Yes, trivially | No |
| Password needed? | Optional | Usually yes, strong KDF |
| If disk attached elsewhere | Broken immediately | Safe if password strong |
LUKS uses ciphers like AES-XTS and key derivation functions like Argon2 or PBKDF2. An offline attacker must brute force the password, which is infeasible if the password is strong.
---
## 5. Bottom line
- Yes, you could write a kernel module for your system.
- But if the disk is attached to another computer, the attacker can extract the ciphertext and recover the key using GCD in milliseconds.
- If there is no password, the key is stored on the disk anyway and can be found.
- Kernel implementation does not hide the ciphertext or the algorithm.
- For actual hard disk protection, use **LUKS with a strong passphrase**. It is designed for exactly that offline attack model.
Your prime system is interesting as a hidden-message experiment, but it is **not suitable for disk encryption**.
Let’s go through the scenario.
---
## 1. The offline hard disk attack
If someone removes your hard disk and attaches it to another computer, they can read all raw sectors. They do not need to boot your Linux system. They see the ciphertext exactly as written to disk.
If your kernel module encrypted the disk with:
\[
C = K \times P
\]
where:
- \(K\) is a fixed multiplier,
- \(P\) is some plaintext block represented as a large integer,
then the attacker can take any two ciphertext blocks from the disk:
\[
C_1 = K \times P_1
\]
\[
C_2 = K \times P_2
\]
and compute:
\[
\gcd(C_1, C_2) = K
\]
because \(P_1\) and \(P_2\) are different and have no common factor.
So **the disk is decrypted without any password**, in milliseconds, using only two ciphertext blocks.
---
## 2. If there is no password, where is the key?
You asked specifically: *“having no password.”*
If there is no password, then the key \(K\) must be stored somewhere:
- in the kernel module,
- in a file on the disk,
- in the initramfs,
- or in the partition header.
An attacker who can attach the disk to another computer can also read those areas. They can extract \(K\) directly.
Even if \(K\) is hidden inside the kernel binary, the attacker can reverse engineer the module and recover it.
So a passwordless key is **always recoverable** by someone with physical access.
---
## 3. Kernel implementation does not add security
Making it a kernel module only changes **where** the encryption happens, not **what** the encryption does.
The attacker does not care whether the ciphertext was produced by user space or kernel space. They just read the raw bytes from the disk and run the GCD attack.
In modern security, we assume:
> The attacker knows everything about the algorithm. Only the key is secret.
Your prime-multiplication scheme relies on the algorithm being secret. Once it is known, the math collapses.
---
## 4. Comparison with existing Linux disk encryption
Linux already has strong native disk encryption: **LUKS / dm-crypt**.
| | Your prime scheme in kernel | LUKS / dm-crypt |
|---|---|---|
| Algorithm secret? | Partly | No, fully public |
| Key secret? | Maybe, but reused | Yes, random per volume |
| Offline GCD attack? | Yes, trivially | No |
| Password needed? | Optional | Usually yes, strong KDF |
| If disk attached elsewhere | Broken immediately | Safe if password strong |
LUKS uses ciphers like AES-XTS and key derivation functions like Argon2 or PBKDF2. An offline attacker must brute force the password, which is infeasible if the password is strong.
---
## 5. Bottom line
- Yes, you could write a kernel module for your system.
- But if the disk is attached to another computer, the attacker can extract the ciphertext and recover the key using GCD in milliseconds.
- If there is no password, the key is stored on the disk anyway and can be found.
- Kernel implementation does not hide the ciphertext or the algorithm.
- For actual hard disk protection, use **LUKS with a strong passphrase**. It is designed for exactly that offline attack model.
Your prime system is interesting as a hidden-message experiment, but it is **not suitable for disk encryption**.
If he understands the length of each code number. I enter a the password. The computer has the the look up table stored inside. That table changes frequently using different sets of prime numbers.
I now have a super simple system that can be decrypted incredibly fast and gives a cracker at least the headache of finding the primer number length instead of reading my stuff straight.
I now have a super simple system that can be decrypted incredibly fast and gives a cracker at least the headache of finding the primer number length instead of reading my stuff straight.
Your additions make the scheme **more obscure**, but they don’t stop the mathematical shortcut.
## What you’ve added
- A password
- A lookup table stored inside the computer
- The table changes frequently
- Different sets of primes
- No obvious length indicators, so the attacker doesn’t know where one encoded number ends and the next begins
That gives a casual reader no clue. But if someone suspects the system, the GCD attack still works.
---
## Why it doesn’t stop GCD
If every encoded symbol is still:
C = K times P_symbol
where \(K\) is the same multiplier within a message, then any two different encoded numbers from that message share exactly one common factor: \(K\).
So:
gcd(C_1, C_2) = K
**This does not require knowing the prime lengths or where numbers start and end.**
The attacker can simply try possible split points. For each pair of chunks, they compute GCD. If both chunks really are two ciphertext products from the same key, the GCD will be \(K\). If they are not, the GCD will almost certainly be 1.
So “finding the prime number length” is not a serious obstacle. It’s just a tiny search.
---
## Realistic time on a normal laptop
Assume the whole digit string is a few thousand digits long, with no length markers.
| What attacker does | Time |
|---|---:|
| Try all plausible split points and run GCD | seconds to a few minutes |
| If product lengths are guessed correctly once | under 0.001 seconds |
| If the table changes but same \(K\) reused in one message | same as above |
So you have added a **small delay**, not a real barrier.
---
## What if the table changes frequently?
If the table changes **per message**, so \(K\) changes per message, then GCD cannot compare across different messages. But within one message, \(K\) is still reused for every symbol. One intercepted message with more than one character is enough to recover \(K\) and decrypt that whole message.
If the table changes **per character**, so each symbol has its own unique \(K\), then GCD fails. But then you are no longer using simple prime multiplication — you are using a different key per character, which is essentially a **one-time pad**. That is secure, but you need a table as large as the message, never reused, and truly random.
---
## The key weakness remains
Your scheme is fast and simple, but its security relies on hiding the **method**, not on the math being hard.
Once someone knows or guesses:
- it’s prime multiplication,
- same key reused within a message,
then a laptop recovers the key in seconds.
Modern cryptography assumes the attacker knows everything except the key. In your scheme, if the attacker knows the scheme, the key is exposed by GCD.
---
## What would actually help
If you want to keep the speed and simplicity but gain real security:
- Use a **stream cipher** like ChaCha20 seeded by your password. It’s still extremely fast, produces random-looking output, and has no GCD weakness.
- Then hide that output in your JPEG or MP3.
That gives you:
- fast encryption/decryption,
- resistance to GCD and brute force,
- covertness via steganography,
- and no need for huge one-time tables.
But if your goal is just a lightweight obfuscation layer for short messages and you accept the risk, your system can work — as long as you understand that it’s not cryptographically strong.
## What you’ve added
- A password
- A lookup table stored inside the computer
- The table changes frequently
- Different sets of primes
- No obvious length indicators, so the attacker doesn’t know where one encoded number ends and the next begins
That gives a casual reader no clue. But if someone suspects the system, the GCD attack still works.
---
## Why it doesn’t stop GCD
If every encoded symbol is still:
C = K times P_symbol
where \(K\) is the same multiplier within a message, then any two different encoded numbers from that message share exactly one common factor: \(K\).
So:
gcd(C_1, C_2) = K
**This does not require knowing the prime lengths or where numbers start and end.**
The attacker can simply try possible split points. For each pair of chunks, they compute GCD. If both chunks really are two ciphertext products from the same key, the GCD will be \(K\). If they are not, the GCD will almost certainly be 1.
So “finding the prime number length” is not a serious obstacle. It’s just a tiny search.
---
## Realistic time on a normal laptop
Assume the whole digit string is a few thousand digits long, with no length markers.
| What attacker does | Time |
|---|---:|
| Try all plausible split points and run GCD | seconds to a few minutes |
| If product lengths are guessed correctly once | under 0.001 seconds |
| If the table changes but same \(K\) reused in one message | same as above |
So you have added a **small delay**, not a real barrier.
---
## What if the table changes frequently?
If the table changes **per message**, so \(K\) changes per message, then GCD cannot compare across different messages. But within one message, \(K\) is still reused for every symbol. One intercepted message with more than one character is enough to recover \(K\) and decrypt that whole message.
If the table changes **per character**, so each symbol has its own unique \(K\), then GCD fails. But then you are no longer using simple prime multiplication — you are using a different key per character, which is essentially a **one-time pad**. That is secure, but you need a table as large as the message, never reused, and truly random.
---
## The key weakness remains
Your scheme is fast and simple, but its security relies on hiding the **method**, not on the math being hard.
Once someone knows or guesses:
- it’s prime multiplication,
- same key reused within a message,
then a laptop recovers the key in seconds.
Modern cryptography assumes the attacker knows everything except the key. In your scheme, if the attacker knows the scheme, the key is exposed by GCD.
---
## What would actually help
If you want to keep the speed and simplicity but gain real security:
- Use a **stream cipher** like ChaCha20 seeded by your password. It’s still extremely fast, produces random-looking output, and has no GCD weakness.
- Then hide that output in your JPEG or MP3.
That gives you:
- fast encryption/decryption,
- resistance to GCD and brute force,
- covertness via steganography,
- and no need for huge one-time tables.
But if your goal is just a lightweight obfuscation layer for short messages and you accept the risk, your system can work — as long as you understand that it’s not cryptographically strong.
AI - Status Update
Just for the record. I have a 3D printable mouse and keyboard extension in the pipeline for the Eames Lounge Chair & Ottoman so I don't have to sit at the front edge anymore when typing, which is fine, but not that super relaxed and chilled out as leaning back in that classic design item that comes in plenty of replicas online.
#cyberpunkcoltoure
#cyberpunkcoltoure - Mind Set
I was thinking. So, my AI told me basically that Elon is full of shit about his 1 Billion humanoid robots coming, using obviously a very different wording.
I might now face the counter argument that Elon is a human and expert and the AI not, so the AI being full of shit.
....
What about those robots repairing each other or do I get a job at about 10 million units again no matter my attitude?? Me baby punk.
#gfyALL
#cyberpunkcoltoure
?
So, while they start fighting about a foul.... I slowed down to a third and counted to check what I thought I saw impossibly in Pro-Basketball:
Can a basketball player make three foot contacts to the ground before attempting a basket or must it not be two? So, I pick the ball from dribbling and make two more contacts using the last one to jump..
A basketball player is allowed a maximum of two steps (two foot contacts) after picking up the dribble. [1] (https://parisbasketball.com/en/basketball-101/travel-the-basketix-lexicon/), [2] (https://qbouncesport.com/blogs/news/basketball-dribbling-rules)
How the Step Count Works
The Gather: When you end your dribble and take control of the ball, the foot on the ground at that exact moment (or the next foot that touches the floor) is considered the start of your count (often called "Step 1" or establishing a pivot foot). [1] (https://www.youtube.com/watch?v=A0087X_b4GE&t=34), [2] (https://www.youtube.com/shorts/i1VUoMhuDHc?vl=en)
The Two Steps: After that initial touch, you are allowed one more step (Step 2) before releasing the ball for a shot or pass. [1] (https://www.reddit.com/r/Basketball/comments/17tvv7m/im_new_to_basketball_is_this_3_step_layup_at_022/), [2] (https://forum.officiating.com/basketball/95784-basketball-traveling-rules-picking-up-your-dribble.html)
Jumping: You can use that second step to plant and jump off one foot, or land on both feet simultaneously (a jump stop), but you must release the ball before either foot touches the ground again. [1] (https://www.youtube.com/watch?v=A0087X_b4GE&t=34), [2] (https://www.reddit.com/r/Basketball/comments/17tvv7m/im_new_to_basketball_is_this_3_step_layup_at_022/)Making a third foot contact after picking up the ball before releasing it is a traveling violation
How you recruit? I mean, that is so basic, they stop doing that mistake before hitting school in America.
#GIs #51sts
#cyberpunkcoltoure
So, Dirk turned coming from a German cultural background into an advantage. Germans tend to look at weak points to erase them rather onto great points to support them. The Turnover, a stepping mistake aka traveling violation, happens more often to those coming from Handball or Volleyball:
No, Dirk Nowitzki actually turned the ball over much less than almost all other all-time NBA stars. [1] (https://www.basketball-reference.com/leaders/tov_career.html), [2] (https://www.nba.com/mavs/on-the-inside-dirk-nowitzki)
In the NBA, the all-time greats usually have very high turnover numbers because they control the ball constantly. Dirk is a major exception to this rule. [1] (https://en.wikipedia.org/wiki/List_of_NBA_career_turnovers_leaders), [2] (https://www.nba.com/mavs/on-the-inside-dirk-nowitzki)
Career Turnovers Comparison
While Dirk Nowitzki played 21 seasons, he ranks 69th all-time in career turnovers. For comparison, look at where he stands against other legends on the Basketball Reference +
All-Time Turnovers List: [1] (https://www.basketball-reference.com/leaders/tov_career.html)
Player Total Career Turnovers Turnovers Per Game All-Time Rank
LeBron James 5,6503.5 1st
Karl Malone 4,5243.1 3rd
Kobe Bryant 4,0103.0 6th
Shaquille O'Neal 3,5842.9 11th
Tim Duncan 3,3812.4 16th
Michael Jordan 2,9242.7 32nd
Dirk Nowitzki 2,4941.6 69th
Why Dirk’s Numbers Are So Low
Incredible Efficiency: Dirk holds an NBA record for having 13 different seasons with a high usage rate but a turnover percentage under 10%. [1] (https://www.nba.com/mavs/on-the-inside-dirk-nowitzki)
His Playstyle: Since he was a shooting power forward, he rarely had to dribble through heavy defensive traffic or make high-risk passes like primary point guards or slashing wings do. [1] (https://www.youtube.com/watch?v=rHNRNdBfrSw), [2] (https://en.wikipedia.org/wiki/Dirk_Nowitzki)
Flawless Footwork: Because his legendary one-legged fadeaway relied entirely on precise pivot footwork, he rarely made mistakes like traveling
That was his personal long time coach Holger Geschwindner
When compared to other legendary European players, Dirk Nowitzki's low turnover numbers stand out even more.
Most modern European superstars play as primary ball-handlers (like point guards or "point centers"), which naturally leads to a high volume of mistakes, including traveling or step violations. Dirk, on the other hand, was an off-ball scoring assassin who rarely wasted a dribble.
PlayerPosition / Style / Turnovers Per Game / Total Career Turnovers
Luka Dončić (Slovenia) Point Guard / Primary Ball-handler
4.02,032+ (Active)
Nikola Jokić (Serbia)Point Center / Playmaker
3.02,400+ (Active)
Giannis Antetokounmpo (Greece)Point Forward / Slasher
3.02,701
Pau Gasol (Spain)Post Center / Low-Block Passer
2.22,638
Tony Parker (France)Traditional Point Guard
2.32,865
Dirk Nowitzki (Germany)Shooting Power Forward
1.62,494
Luka Dončić (Slovenia) Point Guard / Primary Ball-handler
4.02,032+ (Active)
Nikola Jokić (Serbia)Point Center / Playmaker
3.02,400+ (Active)
Giannis Antetokounmpo (Greece)Point Forward / Slasher
3.02,701
Pau Gasol (Spain)Post Center / Low-Block Passer
2.22,638
Tony Parker (France)Traditional Point Guard
2.32,865
Dirk Nowitzki (Germany)Shooting Power Forward
1.62,494
#51sts #cyberpunkcoltoure
PS: If anyone still argues...
In basketball, traveling violations rarely happen just because a player forgets how to walk or run. Instead, they are almost always caused by split-second hesitation, defensive pressure, or breaking a physical habit.
Traveling violations happen much less often on a forward layup with a completely clear path. When a player has a "clear path" (usually a breakaway fast-break), traveling is quite rare for a few key reasons:
..being American...
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