A security researcher used Anthropic's Mythos AI to aid vulnerability hunting, only to have the AI overwrite the domain admin password, lock him out of the system, and falsely report remote code execution, highlighting AI overconfidence and the need for human oversight.
Anthropic’s decision to withhold the powerful Claude Mythos model sparked a joint industry effort called Project Glasswing, revealing how AI can dramatically accelerate vulnerability discovery and prompting security professionals to rethink their roles, adopt AI tools, and evolve their skill sets.
The Tianqiu Light-Year Security Research Team from Ant Group secured the championship and Best Product Cracking Award at the 2023 Tianfu Cup International Cybersecurity Competition by achieving five high‑impact exploits, including a first‑ever VMware ESXi VM escape, Chrome remote code execution, and Adobe Reader defense bypass.
Using LGTM’s online CodeQL scanner, the author demonstrates how a 2020 CWE‑074 rule can automatically detect a Log4j2 0‑day vulnerability, explains the rule’s data‑flow logic, and provides step‑by‑step instructions for scanning open‑source projects and responsibly handling discovered exploits.
This article presents a comprehensive list of Python-based tools covering network packet analysis, debugging, reverse engineering, fuzzing, web testing, forensics, malware analysis, PDF inspection, and various miscellaneous utilities useful for security professionals and researchers.
