Exploiting Claude Code Vulnerabilities: RCE, API Credential Theft Risks Mitigated with Patches

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Anthropic’s Claude Code Patches Security Vulnerabilities

A trio of security vulnerabilities in Anthropic’s Claude Code has been patched, following the discovery of flaws that could have enabled remote code execution and API credential theft.

Vulnerability Details

Research by Check Point analysts revealed that multiple configuration mechanisms, including Model Context Protocol servers, Hooks, and environment variables, were vulnerable to code injection and information disclosure.

The vulnerabilities, which include two high-severity code injection bugs and a medium-severity information disclosure issue, could have been exploited to execute arbitrary commands and steal sensitive data.

One of the high-severity bugs, tracked as CVE-2025-59536, could have been used to bypass explicit user approval for external tool and service interactions via the Model Context Protocol.

Implications for Threat Modeling

“The risk is no longer limited to running untrusted code; it now extends to opening untrusted projects. In AI-driven development environments, the supply chain begins not only with source code but with the automation layers surrounding it.”

Conclusion

The vulnerabilities highlight the need for robust security measures in AI-powered development environments, where the risk of compromise can have far-reaching consequences.

The patches for the vulnerabilities have been released, and users are advised to apply them as soon as possible to prevent potential exploitation.

The discovery of these vulnerabilities serves as a reminder of the importance of ongoing security research and testing in identifying and addressing potential flaws in AI-powered systems.

As AI technology continues to evolve, it is essential to prioritize security and ensure that the benefits of these systems are not outweighed by the risks.