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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