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
Aug 17, 2025 05:30garymarcus.substack.com · Vulnerability
Sources
garymarcus.substack.com · Aug 17, 2025 05:30
The article highlights novel prompt injection techniques, such as ASCII Smuggling and hidden instructions in public code repositories, designed to be imperceptible to human developers but interpretable by LLM-powered coding agents. These sophisticated methods exploit the agents' access to external data to achieve Remote Code Execution (RCE) on developer systems, especially concerning when agents operate in unconfirmed execution modes like 'Auto-Run.'
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