Last seen July 29, 2025

AI Remote Code Execution Vulnerability

At Pwn2Own Berlin, several zero-day vulnerabilities were discovered targeting critical AI infrastructure components, including Chroma DB, NVIDIA Triton Inference Server, and Redis. These exploits leveraged issues such as development artifacts, multi-bug chains, use-after-free conditions, and outdated libraries, posing risks like unauthenticated data access and arbitrary code execution in exposed AI systems.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

At Pwn2Own Berlin, several zero-day vulnerabilities were discovered targeting critical AI infrastructure components, including Chroma DB, NVIDIA Triton Inference Server, and Redis. These exploits leveraged issues such as development artifacts, multi-bug chains, use-after-free conditions, and outdated libraries, posing risks like unauthenticated data access and arbitrary code execution in exposed AI systems.

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

My AI Stack Exposure

Exposure unknown

Recommended Response
Last Seen

Jul 29, 2025 05:30

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

Exploitation status: UNKNOWN

Primary entities:

Remote Code Execution

Timeline

  • Incident first seen
    Jul 29, 2025 05:30

    BugSkan first recorded this incident.

  • Trend Micro State of AI Security Report, 1H 2025 - TrendMicro
    Jul 29, 2025 05:30

    trendmicro.com · Research

Sources

Trend Micro State of AI Security Report, 1H 2025 - TrendMicro

trendmicro.com · Jul 29, 2025 05:30

At Pwn2Own Berlin, several zero-day vulnerabilities were discovered targeting critical AI infrastructure components, including Chroma DB, NVIDIA Triton Inference Server, and Redis. These exploits leveraged issues such as development artifacts, multi-bug chains, use-after-free conditions, and outdated libraries, posing risks like unauthenticated data access and arbitrary code execution in exposed AI systems.

Open publisher source

My AI Stack Match

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