CVE-2024-8613 is an authorization bypass vulnerability classified under CWE-639, affecting the gaizhenbiao/chuanhuchatgpt product. The vulnerability arises due to improper handling of session data and the absence of robust access control mechanisms, which allows attackers to manipulate user-controlled keys to access, copy, and delete chat histories belonging to other users. Specifically, the application fails to properly verify that the requesting user is authorized to access the requested chat history, enabling privilege escalation within the application context. The CVSS 3.0 base score of 8.1 reflects the high impact on confidentiality and integrity, with an attack vector over the network, low attack complexity, and requiring privileges but no user interaction. The vulnerability does not impact availability. Although no exploits have been observed in the wild, the potential for data leakage and unauthorized data manipulation is significant, especially in environments where sensitive or confidential conversations occur. The affected versions are unspecified, but the vulnerability was published in March 2025, indicating recent discovery. The flaw can be exploited remotely by authenticated users who can manipulate session keys or identifiers to bypass authorization checks, highlighting a critical design flaw in session management and access control enforcement within the application.

For European organizations, this vulnerability poses a serious risk to the confidentiality and integrity of sensitive communications stored within the gaizhenbiao/chuanhuchatgpt platform. Unauthorized access to chat histories could lead to data breaches involving personal data, intellectual property, or confidential business information, potentially violating GDPR and other data protection regulations. The ability to delete chat histories also risks loss of critical audit trails and evidence, complicating incident response and compliance efforts. Organizations relying on this platform for internal or customer communications may face reputational damage, legal liabilities, and operational disruptions. The network-based attack vector and low complexity mean that attackers with limited privileges could exploit this vulnerability relatively easily, increasing the threat landscape. Given the increasing use of AI-driven chat platforms in Europe, the impact could extend to sectors such as finance, healthcare, legal, and government, where confidentiality is paramount.

To mitigate CVE-2024-8613, organizations should first verify if they are using the affected gaizhenbiao/chuanhuchatgpt versions and apply any available patches or updates from the vendor as soon as they are released. In the absence of patches, implement strict access control policies at the application layer, ensuring that session keys or user identifiers are validated against authenticated user identities before granting access to chat histories. Conduct thorough code reviews focusing on session management and authorization logic to identify and remediate similar flaws. Employ network segmentation and restrict access to the chat platform to trusted users and networks only. Enable detailed logging and monitoring of access to chat histories to detect anomalous behavior indicative of exploitation attempts. Educate users about the importance of safeguarding their credentials and session tokens. Consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block unauthorized access patterns. Finally, prepare incident response plans that include procedures for handling data breaches involving chat history exposure or deletion.