Pioneering AI Security Research & Exploit Intelligence
Uncovering critical vulnerabilities, jailbreaks, and trust boundary failures across autonomous agents, execution runtimes, and physical AI systems.
$ 0-day vectors · responsible disclosure · autonomous agents to embodied robotics
Security Advisories & Research Papers
Deconstructed threat vectors, incident analyses, and zero-day proofs-of-concept from the AIPwn research team.
Primary Attack Vectors & Surfaces
- Prompt Injection 2.0Cognitive Layer
Bypassing guardrails, context poisoning, and memory hijacking via multi-turn untrusted payloads.
- Agent Privilege EscalationTool & Sandbox Layer
Weaponizing MCP integrations, autonomous tool call chains, and extracting runtime credentials.
- Runtime & Infra ExposureExecution Layer
Exploiting unauthenticated agent runtimes, exposed daemon endpoints, and sidecar channels.
- Physical & Embodied AIKinetic World
Subverting sensor perception feeds and actuation control loops in autonomous robotics.
Responsible Coordinated Disclosure
We proactively coordinate with affected owners, vendors, and maintainers before releasing technical PoCs.