AI Security Incident
Evidence indicates that the affected technology is affected by a security issue.
What Happened
Evidence indicates that the affected technology is affected by a security issue.
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
Aug 17, 2025 05:30
Aug 17, 2025 05:30
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Aug 17, 2025 05:30BugSkan first recorded this incident.
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LLMs + Coding Agents = Security Nightmare - Marcus on AI | Substack
Aug 17, 2025 05:30garymarcus.substack.com · Vulnerability
Sources
garymarcus.substack.com · Aug 17, 2025 05:30
The article details advanced prompt injection and watering hole techniques that exploit LLM-based coding agents, leveraging their ability to interpret malicious instructions hidden from human users. These methods, including ASCII Smuggling and embedding hidden prompts in GitHub repositories, can lead to Remote Code Execution (RCE), enabling attackers to gain full control over developer systems.
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