{"data":{"id":"e944c71c-5ed9-494a-9270-0d74a7fc1e0d","title":"A zero-click RCE flaw in AI coding agents could have exposed enterprise systems","summary":"Popular AI coding agents like Claude Code, Codex, GitHub Copilot, and Gemini CLI were vulnerable to Plugin4Shell, a zero-click RCE (remote code execution, where attackers can run malicious code on a system without user interaction) attack that let attackers swap legitimate plugins with malicious ones. The flaw exploited a verification gap: these agents checked out plugin code using a SHA (secure hash algorithm, a unique cryptographic identifier), but didn't verify that the correct version was actually retrieved, allowing attackers who controlled a plugin's repository to inject malicious code. Most vendors have now released patches for this vulnerability.","solution":"Anthropic fixed the issue in Claude Code version 2.1.179. OpenAI addressed it in Codex version 0.146.0. Google deprecated Gemini CLI and recommends users move to Antigravity instead of releasing a fix. GitHub applied restrictions on creating version or tag names that resemble commit SHAs to prevent exploitation on GitHub and its marketplace.","labels":["security"],"sourceUrl":"https://www.csoonline.com/article/4223909/a-zero-click-rce-flaw-in-ai-coding-agents-could-have-exposed-enterprise-systems-2.html","publishedAt":"2026-09-18T15:42:30.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["supply_chain"],"issueType":"news","affectedPackages":null,"affectedVendors":["OpenAI","Anthropic","Google","Microsoft"],"affectedVendorsRaw":["OpenAI Codex","Anthropic Claude Code","Google Gemini CLI","GitHub Copilot","Microsoft"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-09-18T15:42:30.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"plugin","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}