Hands Free: What LLM Driven Vulnerability Research Looks Like
ID: 4093dc98-146f-5af5-9817-a944324d8a99
STIX ID: report--4093dc98-146f-5af5-9817-a944324d8a99
Feed Name: Claroty Team82
Team82 reports discovery and disclosure of five critical vulnerabilities (three command injections, an out-of-bounds write, and an XSS: CVE-2025-64126 through CVE-2025-64130) in the Zenitel TCIV-3+ video intercom and demonstrates that an Anthropic Claude Opus 4.6 LLM agent, using tools like UPX and Ghidra via Claude Code, can reproduce and accelerate vulnerability analysis end-to-end in under ten minutes, highlighting the potential for LLM-based automated vulnerability research to lower the barrier to finding severe flaws in embedded devices.
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