First reported anthropic.com
Research · latest
First reported bleepingcomputer.com
We built a vulnerability vending machine: AI tokens in, zero-days out
Intruder describes building an automated pipeline that pairs LLMs with the Joern code-scanning engine and a 'program slice' technique to find and exploit vulnerabilities in production software with no human in the loop. The team reports discovering a remote, multi-stage SQL injection zero-day (CVE-2026-3985) in a WordPress plugin with over 300,000 users, fully automated from discovery through exploitation. Details →First reported arxiv.org
VEXA_IoT: Autonomous IoT Vulnerability EXploitation using AI Agents
VEXA_IoT is an autonomous multi-agent framework by Swinea et al. that uses LLM-based reasoning combined with offensive security tools (Nmap, Metasploit, bettercap) to perform reconnaissance, plan attack sequences, and exploit IoT vulnerabilities. Evaluated across IoTGoat and Metasploitable environments and ten OWASP IoT attack scenarios, it achieved a 95.0% overall success rate across 260 attack executions with execution times under two minutes. Details →How the wire is made
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