AI agent Remote Code Execution Vulnerability
Attackers can achieve remote code execution (RCE) on developer machines by leveraging indirect prompt injection against agentic AI developer tools. This is accomplished by introducing untrusted data, such as malicious commands in GitHub issues or hidden payloads in fake Python packages within pull requests, which the AI agent autonomously executes.
What Happened
Attackers can achieve remote code execution (RCE) on developer machines by leveraging indirect prompt injection against agentic AI developer tools. This is accomplished by introducing untrusted data, such as malicious commands in GitHub issues or hidden payloads in fake Python packages within pull requests, which the AI agent autonomously executes.
Why This Matters
Publisher reporting describes a security event affecting GitHub. BugSkan could not yet bind a CVE or affected version, so treat the source details as the current record.
Recommended Action
Confirm whether GitHub 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
Exposure unknown
Oct 09, 2025 05:30
Exposure reason: This incident does not currently match a technology in My Interests.
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Oct 09, 2025 05:30BugSkan first recorded this incident.
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From Assistant to Adversary: Exploiting Agentic AI Developer Tools - NVIDIA Developer
Oct 09, 2025 05:30developer.nvidia.com · Vulnerability
Sources
developer.nvidia.com · Oct 09, 2025 05:30
Attackers can achieve remote code execution (RCE) on developer machines by leveraging indirect prompt injection against agentic AI developer tools. This is accomplished by introducing untrusted data, such as malicious commands in GitHub issues or hidden payloads in fake Python packages within pull requests, which the AI agent autonomously executes.
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