
ATTACK-Tools
SQLite relational data model for MITRE ATT&CK plus an adversary emulation planning tool, enriched with Red Canary ATOMIC tests and APT3 emulation…

SQLite relational data model for MITRE ATT&CK plus an adversary emulation planning tool, enriched with Red Canary ATOMIC tests and APT3 emulation…

A comprehensive guide to adversarial testing and security evaluation of AI systems, helping organizations identify vulnerabilities before attackers…

C++ tool using libtins to craft and broadcast DHCP requests with random MACs across an IP pool, exhausting DHCP leases to demonstrate DHCP starvation…

Research code for measuring jailbreak attack success rates (ASR and stepwise ASR) against LLMs, with implementations of attacks such as GCG and…

Research on persistent prompt injections via memory features in Claude, Gemini, and ChatGPT, with reproduction steps, datasets, and proofs for…

Reproducible Colab pipeline that grounds six AI Security Literacy competency dimensions in public benchmarks and survey microdata, producing figures,…

Research artifact from USENIX Security 2026 demonstrating DDoS attacks by abusing tunnel nodes and IPv6 extension headers, with accompanying analysis…

Security research on context compaction in coding agents: shows how forged role labels in untrusted content survive summarization and get executed,…

GitLab Duo DevSecOps loop where a second AI re-attacks every AI-written fix, saving each successful bypass as a permanent antibody replayed in CI and…

Research implementation of the Black-Hole Attack that poisons vector database indexes via centrality-driven hubness, with FAISS pipelines and…

Jailbreaks,Prompt Leaks,Prompt Injection,LLM Attack.Large language model attack prompt collection

Red-teaming benchmark and black-box attack framework for evaluating visual misinformation risks in commercial image generators, with 10k false-claim…

Defense framework that mitigates malicious fine-tuning of LLMs using selective layer recovery and dynamic routing, with training, harmfulness…

Curated collection of research papers on retrieval-augmented generation security, organized by the SLOT taxonomy covering knowledge poisoning,…

Research code for training adapters that make LLM agent backdoors survive benign fine-tuning, with trigger-rate scoring, SWE-bench evaluation, and…

Fine-tuning framework that applies first-order optimal safety calibration and periodic recalibration to LLMs, preserving safety-compatible updates…

Code, response logs and labels for the paper Jailbreaking Open-Weight LLMs via Random Embedding Perturbations

Research implementation of Hop-Decayed Influence (HDI) and the 3S attack framework, exposing structural auxiliary indexing vulnerabilities in…