CVE-2024-10707 is a path traversal vulnerability classified under CWE-22 that affects the gaizhenbiao/chuanhuchatgpt software, specifically version git d4ec6a3 and potentially others. The root cause lies in the improper limitation of pathnames within the handle_dataset_selection function, which processes JSON input via the gradio component gr.JSON. This component has a known vulnerability (CVE-2024-4941) that allows maliciously crafted JSON files to bypass input validation. An attacker with local privileges can upload a specially crafted JSON file that manipulates file path parameters, enabling unauthorized access to arbitrary files on the server filesystem. The vulnerability does not require user interaction but does require some level of privilege (PR:L), indicating that remote unauthenticated exploitation is unlikely without some foothold. The CVSS v3.0 score of 6.5 reflects a medium severity, primarily due to the high confidentiality impact (C:H) but no impact on integrity or availability. No patches have been published yet, and no known exploits are reported in the wild. The vulnerability highlights the risks of insufficient input sanitization in components handling user-supplied JSON data, especially in AI/chatbot frameworks that may process datasets or configuration files dynamically. Organizations using gaizhenbiao/chuanhuchatgpt or the vulnerable gradio component should assess their exposure and implement mitigations to prevent unauthorized file access.

For European organizations, this vulnerability poses a significant confidentiality risk by potentially exposing sensitive internal files, including configuration files, credentials, or proprietary data stored on servers running gaizhenbiao/chuanhuchatgpt. Given the increasing adoption of AI and chatbot frameworks in sectors such as finance, healthcare, and government, unauthorized file access could lead to data breaches, regulatory non-compliance (e.g., GDPR), and reputational damage. The requirement for local privileges reduces the risk of widespread remote exploitation but does not eliminate insider threats or risks from compromised accounts. Organizations relying on this software for internal or customer-facing services may face operational disruptions if attackers leverage this vulnerability to gather intelligence or prepare further attacks. The lack of available patches increases the urgency for immediate mitigations. Additionally, the medium severity rating suggests that while the threat is serious, it is not critical, but should still be addressed promptly to avoid escalation.

1. Implement strict input validation and sanitization on all JSON inputs processed by the handle_dataset_selection function, ensuring that file paths are normalized and constrained within allowed directories. 2. Employ allowlisting of file paths and reject any input that attempts directory traversal sequences such as '../'. 3. Restrict file system permissions for the application user to limit access only to necessary directories, minimizing the impact of any path traversal attempts. 4. Monitor and log all file upload activities and JSON inputs for anomalous patterns indicative of exploitation attempts. 5. If possible, isolate the gaizhenbiao/chuanhuchatgpt service in a sandboxed or containerized environment to limit the blast radius of any compromise. 6. Stay updated with vendor advisories and apply patches promptly once available. 7. Conduct regular security audits and code reviews focusing on input handling in components that process user-supplied data. 8. Educate internal users and administrators about the risks of privilege escalation and enforce the principle of least privilege to reduce the likelihood of local privilege abuse.