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Inside 90 days of attacks on AI infrastructure

Wiz Blogby Yaara Shriki ()2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Wiz honeypots recorded 90 days of active campaigns attacking LiteLLM, MCP servers, and AI frameworks via RCE, blind prompt injection, and credential theft.

Wiz deployed AI infrastructure honeypots and observed active attack campaigns over a 90-day window. Attackers targeted LiteLLM, MCP servers, and popular AI frameworks using techniques including remote code execution, blind prompt injection, and memory credential theft. The findings show exposed AI infrastructure is being actively targeted in the wild.

Key facts
  • Honeypots captured active campaigns across 90 days of observation.
  • LiteLLM and MCP servers were targeted attack surfaces.
  • Techniques included RCE, blind prompt injection, and memory credential theft.
  • Highlights exposure risk of internet-facing AI infrastructure.
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From the original article

Wiz honeypots uncover active campaigns targeting LiteLLM, MCP servers, and AI frameworks through RCE, blind prompt injection, and memory credential theft.

Wiz Blog

By Yaara Shriki · wiz.io

Read the full article at Wiz Blog

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.