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Hackers are weaponizing AI infrastructure components like LiteLLM and RAGFlow not just for data theft, but specifically to harvest API keys and hijack high-performance computing resources for cryptocurrency mining. This marks a critical shift where the security perimeter expands from traditional cloud endpoints to the very gateways connecting applications to large language models. Organizations must now treat unexplained spikes in AI consumption with the same urgency as token jacking incidents to prevent persistent access and resource abuse.

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Hackers Exploit AI Infrastructure to Steal API Keys, Gain Persistence and Mine Cryptocurrency

Cybersecurity NewsAugust 27, 20264 min read

Hackers are increasingly turning AI platforms into a doorway to valuable corporate systems. New Microsoft research shows that exposed AI gateways, retrieval tools, and workflow services can give intruders a path to provider credentials, databases, container environments, and powerful computing resources. The activity spans three different targets: LiteLLM, RAGFlow, and Kestra. Although the entry points […] The post Hackers Exploit AI Infrastructure to Steal API Keys, Gain Persistence and Mine Cryptocurrency appeared first on Cyber Security News.

Hackers are increasingly turning AI platforms into a doorway to valuable corporate systems. New Microsoft research shows that exposed AI gateways, retrieval tools, and workflow services can give intruders a path to provider credentials, databases, container environments, and powerful computing resources. The activity spans three different targets: LiteLLM, RAGFlow, and Kestra. Although the entry points differed, the attackers followed a familiar money-making playbook: steal secrets, retain access, and use compromised servers for cryptocurrency…

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