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Bluetooth keystroke injection exploit PoCs for CVE-2023-45866, CVE-2024-21306, and CVE-2024-0230 targeting Android, Linux, macOS, and iOS via…

Bluetooth keystroke injection exploit PoCs for CVE-2023-45866, CVE-2024-21306, and CVE-2024-0230 targeting Android, Linux, macOS, and iOS via…

An Open-Source Package for Textual Adversarial Attack.

Standardized adversarial robustness benchmark with a public leaderboard and downloadable model zoo for evaluating ML models against Lp attacks and…

LLM security testing framework for detecting prompt injection, jailbreaks, and adversarial attacks — 190+ probes, 28 providers, single Go binary

Fully automatic censorship removal for language models

Tools and PoCs for Windows syscall investigation.

Compares Windows archiver support for Mark of the Web propagation, helping teams assess which tools preserve MOTW and mitigate macro-based malware…

A font-based deception tool for red teaming, security research, and whatever else.

Weaponizing to get NT SYSTEM for Privileged Directory Creation Bugs with Windows Error Reporting

Hands-on DEFCON workshop materials for killing and silencing EDR agents: lab setup, BYOVD, custom C/C++ evasion tooling, and reverse engineering.

Alignment-research scaffold (autoresearch-style) for LLM guardrails: search over a single policy.md surface

A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.

A Streamlined FTP-Driven Command and Control Conduit for Interconnecting Remote Systems.

[ICLR 2026] - Official repo for the paper: "RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models"

A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

Benchmark for evaluating AI agent safety against attacks embedded in skill-facing context, with 155 cases across 6 risk domains, measuring task…

Hands-on AI security lab platform with 50+ scenarios across prompt injection, agentic system exploitation, model manipulation, and MCP trust boundary…

Framework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…