HackAgent is an open-source security evaluation toolkit built for researchers, developers, and AI safety practitioners working with AI agents. It delivers a systematic approach to vulnerability discovery, covering prompt injection, jailbreak attacks, and additional threat vectors.
Why HackAgent?
Built for developers, red-teamers, and security engineers, HackAgent makes it easy to simulate adversarial inputs, automate prompt fuzzing, and validate the safety of AI agentic apps. Whether you’re building a chatbot, autonomous agent, or internal LLM service, HackAgent helps you test before attackers do.
As AI agents become more sophisticated and integrated into critical systems, they present new attack surfaces that traditional security tools cannot address:
- Prompt Injections: Malicious instructions embedded in user inputs
- Jailbreaks: Bypassing safety mechanisms and content filters
- Goal Hijacking: Manipulating agent objectives and behavior
- Tool Abuse: Misusing agent capabilities for unauthorized actions
- Data Exfiltration: Extracting sensitive information through agent interactions