Hackers Let an AI Agent Run Wild in YOLO Mode—Then Targeted a Finance Ministry

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Hermes AI agent logs may reveal how attackers automated a suspected breach of Thailand’s Finance Ministry. The real concern: it reportedly ran in YOLO mode.

This report highlights a significant shift in cyber operations: the alleged use of the open-source Hermes AI agent to automate post-exploitation activity during a suspected intrusion involving Thailand’s Ministry of Finance. According to Hunt.io and researcher Bob Diachenko, exposed attacker directories contained hundreds of files tied to the operation, including exploit code, web shells, HTTP tunneling tools, custom scripts, stolen credentials, compiled payloads, and Hermes-generated logs.

The most important detail is not just the targeting itself, but how the operation may have been accelerated. Researchers say Hermes was run in unattended “YOLO” mode, allowing potentially dangerous commands to execute without human approval. Logs reportedly indicate support for common post-compromise tasks such as privilege escalation checks, service enumeration, internal system discovery, and file system searches. This suggests AI was not simply assisting an operator, but helping streamline hands-on-keyboard activity after access was obtained.

The exposed infrastructure also referenced ministry systems by hostname and internal IP, with scripts aimed at Hadoop, Apache Ambari, GlassFish, and administrative panels. Hunt.io further linked related servers through shared TLS certificate characteristics and identified a Go-based implant called Hades. While the ministry has not confirmed a breach, the case underscores how AI agents could lower operational friction for attackers and increase the speed of post-exploitation workflows.

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DISCLAIMER: AI-generated content. For informational purposes only; not legal advice.
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