2026-05-11 · 2026-Q2
Google GTIG Reports First AI-Developed Zero-Day for Mass Exploitation
Outside the model: AI capabilityAgent tooling was not the attack surface, so no layer applies.
- Fixable
- Vendor patch
- Vendor response
- Patched
- In the wild
- No
- Actor
- Not applicable
Target
A popular open-source web-based system-administration tool (vendor unnamed) and internet-facing infrastructure running it
Impact
A cybercrime actor used a large language model to discover and weaponize a 2FA-bypass zero-day for a planned mass-exploitation campaign; Google Threat Intelligence Group identified and disrupted it through responsible disclosure before use
Root cause
The LLM reasoned about a hardcoded trust assumption in the tool's 2FA enforcement logic, a semantic flaw that traditional scanners and fuzzers miss; the generated Python exploit carried LLM hallmarks including educational docstrings and a hallucinated CVSS score
Sources
Catalog
Cite this: AgentProv incident record: Google GTIG Reports First AI-Developed Zero-Day for Mass Exploitation (2026-05-11). https://agentprov.com/incidents/2026-05-11-google-gtig-reports-first-ai-developed-zero-day-for-mass-exploitation