CVE-2024-10714 is a resource exhaustion vulnerability classified under CWE-770, affecting the binary-husky/gpt_academic software version 3.83 (and potentially other unspecified versions). The vulnerability arises during the handling of multipart file uploads, where an attacker can append an excessive number of characters to the end of a multipart boundary. The multipart parser in the application does not impose limits or throttling on the processing of these characters, causing the server to continuously consume resources while processing each appended byte. This results in the server repeatedly logging warnings such as 'multipart.multipart Consuming a byte '0x2d' in end state' and ultimately leads to Denial of Service by making the application unresponsive or inaccessible. The attack vector is network-based, requiring no authentication or user interaction, and the vulnerability has a CVSS 3.0 score of 7.5, indicating high severity. Although no public exploits are currently known, the vulnerability poses a significant risk due to its ease of exploitation and potential to disrupt service availability. The root cause is the lack of proper input validation and resource management in the multipart upload processing logic, which fails to limit the amount of data processed in boundary parsing. This vulnerability highlights the importance of implementing strict limits and throttling mechanisms when handling multipart data to prevent resource exhaustion attacks.

For European organizations, particularly those in academia, research, or any sector utilizing binary-husky/gpt_academic, this vulnerability can lead to significant service outages. The Denial of Service condition can disrupt critical academic workflows, data processing, or collaborative projects relying on this software. Since the attack requires no authentication and can be launched remotely, it increases the risk of widespread disruption. Organizations may face operational downtime, loss of productivity, and potential reputational damage if services become unavailable. Additionally, prolonged DoS conditions could indirectly affect data integrity if recovery procedures are not properly managed. The impact is primarily on availability, with no direct confidentiality or integrity compromise reported. However, service unavailability in academic or research environments can have cascading effects on dependent systems and users across Europe.

To mitigate CVE-2024-10714, organizations should prioritize applying vendor patches once available. In the absence of patches, implement strict input validation on multipart file uploads to reject requests with abnormally long or malformed multipart boundaries. Deploy rate limiting and throttling mechanisms on upload endpoints to prevent resource exhaustion from excessive data processing. Monitoring and alerting on unusual multipart upload activity can help detect exploitation attempts early. Network-level controls such as Web Application Firewalls (WAFs) can be configured to block suspicious multipart requests or limit the size and frequency of uploads. Additionally, consider isolating the vulnerable service behind reverse proxies that can enforce stricter request validation. Regularly update and audit multipart parsing libraries and dependencies to ensure known vulnerabilities are addressed. Finally, conduct penetration testing and resilience assessments to verify the effectiveness of implemented mitigations.