About

Security researcher focused on IoT, vehicle connectivity, and mobile security. I pay special attention to risks that have direct real-world impact—e.g., abuse of vehicle control links, or theft and fraud in payment scenarios. My work is practical and engineering-driven: build reproducible attack chains to verify the true risk boundary, pinpoint root causes, propose actionable fixes, and drive vendors through remediation and retesting.

I’m currently exploring AI for Security: how to use AI to boost security research and defense efficiency. The goal is to make frontier technology serve a reliable and controllable real world.

Goals

• Drive real fixes with offense/defense: use reproducible attacks to validate real risks, and push vendors to fix and retest.
• Make intelligence safer: as AI permeates vehicles, homes, and critical systems, study new attack surfaces and verifiable security baselines.
• Build with long-term responsibility: practice responsible disclosure and long-termism, keep doing useful security research so more people benefit from technology.

Some Highlights

• Talks & contributions
• Vulnerabilities & acknowledgements
• Competitions & awards

Contact

• GitHub: https://github.com/migraine-sudo
• X (Twitter): https://x.com/0xp0kerface
• Gmail: 0xp0kerface@gmail.com