🌌 LCG-RNG reverser for the Java programming language. The library is able to reverse-engineer the internal state of any linear congruential pseudo-random number generator. Works by finding integer solutions to a system of linear inequalities on consecutive random calls.
- 🔥 Simple and Convenient API
- 💻 Multithreading Support
- 📐 Rich Linear Algebra Library
- 💨 Uncompromised Performance
repositories {
maven {
url 'https://jitpack.io'
}
}
dependencies {
implementation 'com.github.rayferric:regen:1.0.1'
}Random random = new Random(314159265359L);
RandomReverser reverser = new RandomReverser();
for(int i = 0; i < 30; i++) {
int value = random.nextInt(256);
int min = Math.max(value - 16, 0);
int max = Math.min(value + 16, 255);
RandomCall call = new JavaIntegerRangeCall(256, min, max);
// For optimal performance, further calls should be registered in filter-only mode:
if(i < 15)
reverser.addCall(call);
else
reverser.addFilter(call);
// Unmeasured calls can be skipped:
random.nextBoolean();
reverser.skip(JavaBooleanCall.SKIPS);
}
// The default Java RNG automatically scrambles the seed using XOR:
reverser.solve(LCG.JAVA).map(LCG.JAVA::scramble).forEach(System.out::println);- Ray Ferric (rayferric)
This project is licensed under the MIT License. See the LICENSE file for details.
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