CVE-2025-67744 is a critical vulnerability affecting DeepChat, an open-source AI agent platform developed by ThinkInAIXYZ. The issue stems from the Mermaid diagram rendering component, which prior to version 0.5.3, is configured unsafely, allowing arbitrary JavaScript execution. This vulnerability is compounded by the exposure of the Electron IPC renderer interface to the DOM, which escalates what would normally be a Cross-Site Scripting (XSS) flaw into a full Remote Code Execution (RCE) vulnerability. Specifically, the unsafe Mermaid configuration permits injection of malicious scripts, and the Electron IPC interface, which facilitates communication between the renderer and main processes, is improperly exposed, enabling attackers to execute arbitrary system commands on the host machine. The vulnerability requires user interaction (e.g., rendering a malicious Mermaid diagram) but does not require authentication, making it accessible to remote attackers. The CVSS 3.1 base score of 9.7 reflects the critical nature of this flaw, with network attack vector, low attack complexity, no privileges required, and scope change indicating that the vulnerability affects components beyond the initial vulnerable code. The impact includes full compromise of confidentiality, integrity, and availability of affected systems. The vendor has addressed this vulnerability in DeepChat version 0.5.3 by patching the unsafe Mermaid configuration and securing the IPC interface. No known exploits have been reported in the wild as of the publication date, but the severity and ease of exploitation make this a high-priority issue for users of DeepChat.

For European organizations, the impact of CVE-2025-67744 is substantial. DeepChat is used in AI research, development, and deployment environments, which often handle sensitive intellectual property and personal data. Successful exploitation could lead to complete system compromise, data theft, manipulation, or destruction, and disruption of AI services. This could affect confidentiality of proprietary AI models and datasets, integrity of AI outputs, and availability of AI platforms critical for business operations. The vulnerability's ability to execute arbitrary system commands remotely without authentication increases the risk of widespread compromise, lateral movement within networks, and potential deployment of ransomware or other malware. Organizations in sectors such as technology, finance, healthcare, and government that leverage AI platforms are particularly at risk. Additionally, the integration of DeepChat in development pipelines or internal tools could expose critical infrastructure to attackers. The lack of known exploits currently provides a window for proactive mitigation, but the critical severity demands immediate action to prevent potential future attacks.

To mitigate CVE-2025-67744, organizations should immediately upgrade DeepChat to version 0.5.3 or later, where the vulnerability has been patched. Beyond patching, organizations should audit and restrict Electron IPC interfaces to ensure they are not unnecessarily exposed to the DOM or untrusted content. Implement strict content security policies (CSP) to limit script execution and reduce XSS attack surfaces. Validate and sanitize all user inputs, especially those that can influence Mermaid diagram rendering or other dynamic content. Employ network segmentation to isolate AI development environments from broader enterprise networks to limit lateral movement if compromise occurs. Monitor logs and system behavior for unusual IPC activity or unexpected command executions. Educate developers and users about the risks of rendering untrusted Mermaid diagrams or other dynamic content within Electron-based applications. Finally, maintain an up-to-date inventory of software dependencies and apply security patches promptly to reduce exposure to known vulnerabilities.