Popular GitHub Repositories for Deception

A secure low code honeypot framework, leveraging AI for System Virtualization.

A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other

Fingerprint-aware TLS reverse proxy: allow, deny, route, or deceive traffic using JA3, JA4 (+QUIC), JA4H, HTTP/2 fingerprints, and request metadata. Finch outsmarts bad traffic—blocking noise with high-fidelity fingerprints, tarpitting scanners, and dynamically deceiving attackers in real time.

Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure. A multi-player “step-race” that challenges LLMs to engage in public conversation before secretly picking a move (1, 3, or 5 steps). Whenever two or more players choose the same number, all colliding players fail to advance.

Controllable Fake Document Infilling for Cyber Deception (Findings of EMNLP 2022)

Multilingual Deception Detection of GPT-generated Hotel Reviews

Reverse Turing Test Game: Outsmart AI in a game of deception! Play as a human trying to blend in or as AI hunting the human. Engage in dynamic AI-powered interactions, strategic questioning, and voting. Compatible with Groq, OpenAI, and more. Can you fool the AI or will they expose you?

Anti-forensics toolkit for VM spoofing, MAC cloaking, and digital deception

Offensive simulation engine for RF, logs, and deception ops.

Robust Object Detection Fusion Against Deception

Version of CyberBattleSim https://github.com/microsoft/CyberBattleSim with extended funcitonality for training RL agents attacks on web applications

Lightweight CLI tool for testing web cache deception vulnerabilities. Built to avoid manual testing, bloated recon tools, and GUI-based platforms. Simple, fast, and script-friendly.

A framework using the game Balderdash to evaluate creativity and logical reasoning in Large Language Models (LLMs). Multiple LLMs generate fictitious definitions to deceive others and identify correct ones, analyzing creativity, deception, and performance.