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Google: LLMjacking attacks rack up $1 million in cloud AI charges

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Summary

Google's Threat Intelligence Group and Mandiant report that LLMjacking attacks, in which attackers abuse stolen LLM API keys, are generating fraudulent cloud charges, with some organizations losing over $100,000 in a single day and cumulative charges reaching $1,000,000. Attackers resell access through LLM mixers such as Jet Night, which passed nearly one million dollars in token costs to one victim organization. The researchers also observed attackers exploiting CVE-2026-40217 in LiteLLM to run arbitrary code on the server.

Mitigation

Google recommends prioritizing Identity and Access Management (IAM) and securing the supply chain, using centralized secrets platforms to rotate and manage sensitive keys and secrets, limiting user privileges to what the role requires and denying all permissions not explicitly required, including access to Cloud LLM services, enforcing phishing-resistant multi-factor authentication (MFA), and ensuring monitoring tools give comprehensive visibility to identify unauthorized LLM and AI services (shadow AI). The source text is cut off before it finishes describing the recommendation to set API usage and spending limits.