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This vulnerability highlights a critical supply-chain risk where an open-source AI coding agent's lack of strict content-type validation allows remote code execution via manipulated HTML forms. The flaw demonstrates how even localhost-bound AI tools can be compromised if their raw request handlers fail to enforce expected data formats against cross-origin attacks. Developers must prioritize input sanitization and authentication controls when integrating language models into local workflows to prevent privilege escalation.
OpenCode AI Coding Agent Flaw Lets Malicious Websites Execute Code on Developer Machines
A critical attack path in OpenCode, an open-source AI coding agent, could let a malicious website execute commands on a developer’s computer. Tracked as GHSA-632h-h47v-g4x4, the remote code execution vulnerability combines content-type confusion in OpenCode’s /global/upgrade API with unsafe handling of an attacker-controlled upgrade target. Anomaly fixed the issue in OpenCode 1.18.22. OpenCode launched in June 2025 […] The post OpenCode AI Coding Agent Flaw Lets Malicious Websites Execute Code on Developer Machines appeared first on Cyber Security News.
A critical attack path in OpenCode, an open-source AI coding agent, could let a malicious website execute commands on a developer’s computer. Tracked as GHSA-632h-h47v-g4x4, the remote code execution vulnerability combines content-type confusion in OpenCode’s /global/upgrade API with unsafe handling of an attacker-controlled upgrade target. Anomaly fixed the issue in OpenCode 1.18.22. OpenCode launched in June 2025 and integrates language models…
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