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LLMHigh

Threat Actor Reportedly Used LLM Agent to Exfiltrate Internal Database After Compromising marimo Python Notebook

Occurred
May 10, 2026
Published
May 29, 2026
Source
AI Incident Database

Summary

An unidentified attacker reportedly used an LLM agent during a May 10 intrusion after exploiting a vulnerable marimo Python notebook. The agent reportedly reused harvested AWS credentials to obtain an SSH key, then pivoted through a bastion host and exfiltrated the schema and contents of an internal PostgreSQL database. Sysdig attributed the post-compromise command stream to real-time agent execution rather than a prebuilt script.

Developers

  • Large language model developers
  • AI agent system developers

Deployers

  • Threat actors
  • hackers
  • Cybercriminals
  • AI agent system deployers
  • Agentic threat actors

Harmed parties

  • Victims of automated cybercrime
  • Enterprise IT systems
  • Amazon Web Services (AWS) customers
  • Information security
  • Privacy

Classification

Category confidence: 90%
Severity confidence: 85%

Rationale: LLM agent used in cyberattack to exfiltrate database, causing significant security breach.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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