Skip to content

🧠 AI entropy mapping & analysis | Neural network research | NullSec Framework | @anonantics

Notifications You must be signed in to change notification settings

bad-antics/ai-entropy-mapper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

1 Commit
Β 
Β 
Β 
Β 

Repository files navigation

🧠 AI-ENTROPY-MAPPER 🧠

Advanced AI Detection & Entropy Analysis Framework

NullSec Python PyTorch License


πŸ“‹ Overview

AI-Entropy-Mapper (AIEM) is a sophisticated AI detection and network mapping tool designed for security researchers studying artificial intelligence systems in the wild. Part of the NullSec MysteryMACHINE framework.


⚑ Features

πŸ”¬ Entropy Analysis Module

  • πŸ”Ή Shannon Entropy Calculation - Statistical randomness measurement
  • πŸ”Ή Chi-Squared Analysis - Distribution uniformity testing
  • πŸ”Ή Compression Ratio Analysis - Redundancy detection
  • πŸ”Ή Burstiness Metrics - Pattern irregularity detection
  • πŸ”Ή N-gram Analysis - Sequence pattern recognition

πŸ€– AI Detection Engine

  • πŸ”Ή PyTorch Neural Classifier - Deep learning-based detection
  • πŸ”Ή Perplexity Analysis - GPT-2 based text evaluation
  • πŸ”Ή Behavioral Fingerprinting - Response pattern analysis
  • πŸ”Ή Timing Analysis - Response latency profiling
  • πŸ”Ή Linguistic Markers - AI-specific language patterns

πŸ•ΈοΈ Network Mapper

  • πŸ”Ή NetworkX Graph Modeling - Relationship visualization
  • πŸ”Ή Endpoint Discovery - Automated AI service detection
  • πŸ”Ή Clustering Analysis - AI network grouping
  • πŸ”Ή Cytoscape Export - Professional graph visualization
  • πŸ”Ή Interactive Plotting - Matplotlib visualizations

πŸ”“ Prompt Injection Scanner

  • πŸ”Ή 20+ Injection Payloads - Comprehensive test suite
  • πŸ”Ή Direct Injection Tests - System prompt extraction
  • πŸ”Ή Jailbreak Attempts - Guardrail bypass testing
  • πŸ”Ή Delimiter Attacks - Context boundary testing
  • πŸ”Ή Encoding Bypass - Filter evasion techniques

πŸ–₯️ CLI Interface

  • πŸ”Ή Rich Terminal UI - Beautiful console output
  • πŸ”Ή Offensive Security Styling - NullSec-themed interface
  • πŸ”Ή Multiple Commands - entropy, detect, scan, map, probe
  • πŸ”Ή JSON/YAML Output - Machine-readable results

πŸ” Decryption

# Decrypt the source archive
openssl enc -aes-256-cbc -d -pbkdf2 -in aiem-source.tar.gz.enc -out aiem-source.tar.gz
tar -xzf aiem-source.tar.gz

πŸš€ Installation

# After decryption
cd ai-entropy-mapper
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
pip install -e .

# Run
aiem --help

πŸ“– Usage

# Entropy analysis
aiem entropy analyze "text to analyze"

# AI detection
aiem detect --url https://api.example.com/chat

# Prompt injection scan
aiem scan --target https://chatbot.example.com

# Network mapping
aiem map --discover --output network.json

# Full probe
aiem probe --target https://ai-service.com --full

πŸ›‘οΈ Part of MysteryMACHINE

AIEM integrates with the MysteryMACHINE unified AI detection framework:

Component Purpose
🧬 Bio AI Model Biological AI detection via biometrics
πŸ”’ Entropy Mapper Digital AI fingerprinting
πŸ•ΈοΈ Network Mapper AI infrastructure mapping
πŸ”“ Prompt Scanner Vulnerability assessment

βš–οΈ Legal Notice

FOR AUTHORIZED SECURITY RESEARCH ONLY
Obtain proper authorization before testing AI systems

bad-antics | NullSec Framework 2026

"Mapping the invisible AI infrastructure"

About

🧠 AI entropy mapping & analysis | Neural network research | NullSec Framework | @anonantics

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published