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attack-simulation

Here are 29 public repositories matching this topic...

aapp-mart

AAPP-MART is a cybersecurity engine featuring AI-powered autonomous attack path prediction and multi-agent red team simulation. These features include adversary emulation, attack path analysis, threat modeling, security validation, risk assessment, and MITRE ATT&CK alignment.

  • Updated Oct 3, 2026
  • Python

A local-first prompt injection attack simulator for testing LLM security. Simulates 16+ attack types (jailbreak, role-play, indirect, multi-turn) with multi-layer defenses (regex, LLM guard, prompt engineering), ML classifier, attack success rate evaluation, and a Streamlit dashboard. Powered by Ollama — fully offline.

  • Updated Apr 27, 2026
  • Python

Multi-stage ICS cyberattack simulation against 69kV/13.8kV distribution substation: IT-to-OT pivot culminating in unauthorized Modbus PLC manipulation. Includes PCAP forensic analysis, NIST incident response playbook, attack scripts, and real-world impact assessment for critical infrastructure security education.

  • Updated Dec 9, 2025
  • Python

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