Measure cryptographic randomness, Shannon entropy (0-8 bits/byte), Chi-square test, and byte distributions.
Execution runs 100% locally inside the browser sandbox using HTML5 Canvas, Web Cryptography Subtle API, and Web Workers. Zero egress.
Zero network latency. Operates completely offline with zero dependencies on third-party backend servers or cloud services.
Built according to official RFC specifications, cryptographic test vectors, and enterprise-grade data transformation standards.
H(X) = - \sum_{i=1}^n P(x_i) \log_2 P(x_i)H(X)P(x_i)n“Cryptographic Entropy Audit of 16-Byte Key Stream”
Each symbol carries 4 bits of surprise/information.
Because all 16 symbols are equiprobable, entropy achieves the theoretical maximum of log₂(16) = 4.0.
The byte stream exhibits perfect uniform randomness with zero predictability or redundancy.
Choose your desired length, character sets, or hashing algorithms.
Click Generate to create your cryptographic token or transform your inputs.
Copy the result to your clipboard and paste it into your secure credential store.
For arbitrary byte streams (256 distinct values from 0x00 to 0xFF), the maximum possible entropy is log₂(256) = 8.0 bits per byte, achieved only by perfectly uniform random data.
Malware packers, obfuscators, and encrypted payloads exhibit high entropy (> 7.2 bits/byte), allowing automated scanners to flag packed executables and hidden encrypted shellcode.
Both compressed and encrypted files show high entropy (> 7.5 bits/byte). However, compressed files retain non-uniform header patterns and dictionary structures, whereas strong cryptographic ciphers produce a statistically flat Chi-square distribution.
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