AI Threat Watch

Case gtig-ai-built-2fa-zero-dayAI-assisted malwareWorldwide

GTIG intercepts first AI-developed zero-day: 2FA bypass in popular open-source admin tool

Criminal actors planned mass exploitation with a Python exploit bypassing two-factor authentication via a hardcoded trust assumption; a hallucinated CVSS score and textbook structure led GTIG to assess it was AI-written.

MediumAttack using AIStatus: PatchedVerified case file

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Reported
May 11, 2026
Location
Worldwide
Target
Users of an unnamed open-source web admin tool
Severity
Medium
Triggered by
Unnamed prominent cybercrime actors
Actor type
Criminal
Reported loss
None reported
CVE
None

What happened

Criminal actors planned mass exploitation with a Python exploit bypassing two-factor authentication via a hardcoded trust assumption; a hallucinated CVSS score and textbook structure led GTIG to assess it was AI-written.

Impact: No victims reported; mass exploitation prevented.

Who triggered it

Actor: Unnamed prominent cybercrime actors

Attribution: GTIG high confidence an AI model authored the exploit; does not believe Gemini was used; actors not named.

Motive: Mass exploitation for financial gain

How it happened

Attack vector: LLM-discovered logic flaw turned into a credentialed 2FA-bypass exploit

Root cause: Developer hardcoded a trust assumption that LLM reasoning about intent could spot where fuzzers could not

Timeline

  1. GTIG counter-discovers the exploit before deployment
  2. GTIG publishes the case after responsible disclosure to the vendor

Response

Responsible disclosure to the vendor and disruption of the planned campaign.

Current status: Patched

Sources (open in a new tab)

Cite this case

GTIG intercepts first AI-developed zero-day: 2FA bypass in popular open-source admin tool. AI Threat Watch, case gtig-ai-built-2fa-zero-day, May 11, 2026. https://aithreat.io/cases/gtig-ai-built-2fa-zero-day/

Permanent link: https://aithreat.io/cases/gtig-ai-built-2fa-zero-day/

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