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attack-graph

Here are 37 public repositories matching this topic...

aapp-mart

AAPP‑MART is an open-source cybersecurity engine for offensive security, AI-powered attack path prediction, autonomous red team simulation, automated threat modeling, adversary emulation, attack graph analysis, exposure management, vulnerability assessment, cyber risk assessment, risk scoring, and MITRE ATT&CK-aligned security validation.

  • Updated Jun 29, 2026
  • Python
rt-kcsm

Real-Time Detection of Multi-Stage Attacks using Kill Chain State Machines: Detect multi-stage attacks by correlating alerts from Intrusion Detection Systems (IDS) to reconstruct attacks. By prioritising alerts based on the kill chain model the RT-KCSM reduces false-positive alerts.

  • Updated May 26, 2026
  • Jupyter Notebook

Cold Relay is a single-binary Active Directory security assessment tool that collects Windows authentication evidence across LDAP, Kerberos, SMB, DNS, GPO, delegation, certificate services, and more turning evidence into deterministic findings with an offline attack graph.

  • Updated May 9, 2026
  • Go

Lightweight Autonomous Intrusion Detection and Response System — real-time packet capture, adaptive baseline learning, micro-honeypot deception layer, causal attack graphs, and explainable automated blocking for small-scale networks.

  • Updated Jun 26, 2026
  • Python

Neuro-symbolic RL agent that learns to pentest networks it has never seen — GPT-4o compiles CVE preconditions into a Z3 action mask over a GraphSAGE PPO policy. Zero-shot attack-graph transfer, negatives disclosed.

  • Updated Jun 4, 2026
  • Python

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