Shannon File Entropy Analyzer & Visualization

Calculate Shannon entropy distributions across binary files to detect packed executables, compressed sections, or hidden encrypted payloads with visual graphs.

How to Use Shannon File Entropy Analyzer & Visualization

  1. Upload File or Paste Raw Bytes: Select any binary file or hex string for forensic randomness measurement.
  2. Compute Shannon Entropy Metric: Calculates the degree of randomness on a scale from 0.0 (completely uniform) to 8.0 (pure cryptographic randomness).
  3. Review Byte Density Distribution: Inspect the histogram of byte frequencies to distinguish between plaintext, compressed data, and encrypted ciphers.

Frequently Asked Questions

What is Shannon Entropy in digital forensics?

Shannon entropy measures the average information density per byte. It is defined as H(X) = -Σ P(x) log₂(P(x)) and ranges from 0 to 8 bits per byte.