AI Security Breach
An attacker gained full administrative access in eight minutes via exposed AWS credentials in a public S3 bucket, escalating privileges through code injection into Lambda functions. The breach leveraged AI automation for rapid execution, including LLMjacking to run expensive AI models and attempt to provision high-cost GPU resources.
What Happened
An attacker gained full administrative access in eight minutes via exposed AWS credentials in a public S3 bucket, escalating privileges through code injection into Lambda functions. The breach leveraged AI automation for rapid execution, including LLMjacking to run expensive AI models and attempt to provision high-cost GPU resources.
Why This Matters
Current evidence identifies a security issue involving the affected technology, but does not yet support a more specific impact claim.
Recommended Action
No confirmed vendor remediation is available in the current evidence. Confirm whether the affected technology is present in your environment and review the affected configuration.
Exposure
Exposure unknown
Feb 04, 2026 05:30
Exposure reason: This incident does not currently match a technology in My AI Stack.
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Feb 04, 2026 05:30BugSkan first recorded this incident.
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Exposed AWS Credentials Lead to AI-Assisted Cloud Breach in 8 Minutes - Hackread
Feb 04, 2026 05:30hackread.com · Research
Sources
hackread.com · Feb 04, 2026 05:30
An attacker gained full administrative access in eight minutes via exposed AWS credentials in a public S3 bucket, escalating privileges through code injection into Lambda functions. The breach leveraged AI automation for rapid execution, including LLMjacking to run expensive AI models and attempt to provision high-cost GPU resources.
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