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