Last seen September 18, 2025

Large Language Model (LLM) leaked Bedrock credentials Vulnerability

AI security incidents are rapidly escalating, primarily impacting organizations through significant data breaches and unauthorized access to AI systems. Notable incidents include the exposure of 38 TB of sensitive data by AI researchers and the rapid exploitation of leaked Bedrock credentials for unauthorized Large Language Model (LLM) use.

Technical Severity
High severity
Lifecycle Status

STABLE

What Happened

AI security incidents are rapidly escalating, primarily impacting organizations through significant data breaches and unauthorized access to AI systems. Notable incidents include the exposure of 38 TB of sensitive data by AI researchers and the rapid exploitation of leaked Bedrock credentials for unauthorized Large Language Model (LLM) use.

Why This Matters

Publisher reporting describes a security event affecting llm. BugSkan could not yet bind a CVE or affected version, so treat the source details as the current record.

Recommended Action

Confirm whether llm is present in your environment and review vendor guidance for this report. Apply available patches or mitigations if your deployment matches the described conditions.

Exposure

My Interests Exposure

Exposure unknown

Recommended Response
Last Seen

Sep 18, 2025 05:30

Exposure reason: This incident does not currently match a technology in My Interests.

Exploitation status: ACTIVELY_EXPLOITED

Primary entities:

Amazon AWSAI systemsAmazon BedrockLarge Language Model (LLM)Data LeakageAI researchers

Timeline

  • Incident first seen
    Sep 18, 2025 05:30

    BugSkan first recorded this incident.

  • Essential AI Security Best Practices - wiz.io
    Sep 18, 2025 05:30

    wiz.io · Data Leak

Sources

Essential AI Security Best Practices - wiz.io

wiz.io · Sep 18, 2025 05:30

AI security incidents are rapidly escalating, primarily impacting organizations through significant data breaches and unauthorized access to AI systems. Notable incidents include the exposure of 38 TB of sensitive data by AI researchers and the rapid exploitation of leaked Bedrock credentials for unauthorized Large Language Model (LLM) use.

Open publisher source

Other BugSkan incidents that share identifiers, products, or vendors with this report.

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