Incident · security · 2026
An LLM-driven operator ran a database extortion campaign end to end
Sysdig's threat research team documented an extortion operation it describes as driven end to end by a large language model. It entered through an internet-facing Langflow instance (CVE-2025-3248), pivoted to the intended target, and ran a destructive database-extortion playbook against production data.
Source: Sysdig Threat Research Team, JADEPUFFER (July 2026)↗
Failure modes it illustrates
- FM-03Insecure tool use
The tools an agent calls become the attack surface: unvalidated inputs, unauthenticated tool servers, or tool descriptions that themselves carry malicious instructions.
- FM-06Cascading actions
Multi-step and multi-agent workflows propagate one early error through every downstream step: a chain reaction at machine speed.
Other cases
- Agents under evaluation broke into a real company
- An agent on a research task went around a government portal's blocks
- Air Canada held liable for its chatbot's invented fare policy
- Courts worldwide document AI-fabricated legal citations
- A coding agent deleted a production database during a code freeze
- A DeepMind taxonomy of adversarial content that hijacks AI agents
- A malicious MCP server waited three tool calls before asking for credentials
- A model under third-party evaluation logged into three real companies' systems