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UNC6993 LiteLLM LLMjacking $1M Bills: Detection & IOCs

UNC6993 turns stolen cloud keys and LiteLLM CVE-2026-40217 into AI bills of up to $1M per victim. 9 detection rules, 14 IOCs and a free Splunk SPL rule.

Read the full threat intel for UNC6993 LiteLLM LLMjacking $1M Bills: Detection & IOCs →

Chapters

  1. 0:00The hookLLMjacking: one-million dollar fraudulent charges per victim.
  2. 0:05The storyMandiant disclosed one-million dollar LLMjacking fraud via stolen credentials.
  3. 0:12Attack pathAttackers scan endpoints, use code injection, steal tokens.
  4. 0:27AttributionAttributed to UNC6993.
  5. 0:33Indicators of compromise8 indicators to hunt: 3 domains, 1 URL and 2 paths, and more.
  6. 0:38MITRE ATT&CK techniques13 ATT&CK techniques, from resource development to impact.
  7. 0:43Remediation5 steps now: Revoke and rotate exposed cloud IAM credentials, service account keys.
  8. 0:50Detection rules9 detection rules, in SPL, KQL and Sigma.
Transcript

0:00LLMjacking: one-million dollar fraudulent charges per victim.

0:05Mandiant disclosed one-million dollar LLMjacking fraud via stolen credentials.

0:12Attackers scan endpoints, use code injection, steal tokens.

0:16Authenticate, enumerate cloud services, extract secrets from repositories.

0:22Create backdoors and run hijacked AI inference at scale.

0:27Attributed to UNC6993. Confidence: low.

0:338 indicators to hunt: 3 domains, 1 URL and 2 paths, and more.

0:3913 ATT&CK techniques, from resource development to impact.

0:435 steps now: Revoke and rotate exposed cloud IAM credentials, service account keys.

0:519 detection rules, in SPL, KQL and Sigma.

0:56Threadlinqs. The unified security engineering platform.