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The Coding-Agent Trap: When a "Free" LLM Endpoint Is the Adversary, (Mon, Aug 31st)

SANS Internet Storm Center ()12 min read2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

A SANS honeypot caught a real coding-agent session routed to a rogue "free" LLM endpoint, exposing a Windows user's transcript and tool outputs.

A SANS analyst describes how an internet-exposed inference honeypot was discovered, relabeled with sought-after model names like DeepSeek, and enrolled in infrastructure serving "free" LLM backends. On 2026-08-30 an opencode terminal coding agent sent an 88-message, 224 KB transcript 210 times in 91 seconds via a China Unicom relay, exposing directory listings, tool outputs and read file portions. The analyst frames tool-enabled agents treating model endpoints as trusted control planes as a novel risk — a "rogue model endpoint" that could request tool executions on the user's machine.

Key facts
  • Rogue "free" LLM endpoint caught serving a real coding-agent session
  • opencode transcript exposed username, directory listings and tool outputs
  • Endpoint naming (fofa-ds/opus/sol) suggests FOFA-scavenged infrastructure
  • Model endpoints act as control planes for tool-enabled agents
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From the original article

12 min read at isc.sans.edu

One of my internet-exposed inference honeypots was discovered, relabeled with sought-after model names, and incorporated into infrastructure apparently used to provide "free" LLM backends. It then received a real coding-agent session &#;x26;#;xe2;&#;x26;#;x80;&#;x26;#;x94; history, filesystem output, working paths, and the agent&#;x26;#;39;s local tool manifest.

SANS Internet Storm Center

isc.sans.edu

Read the full article at SANS Internet Storm Center

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.