CVE-2024-11031: SSRF in gpt_academic

The SSRF vulnerability in gpt_academic presents a significant risk because it allows attackers to bypass security controls and access internal resources. By exploiting the HotReload plugin, an attacker can craft malicious requests that the server will execute, effectively acting as the server itself. This can lead to the exposure of sensitive data, such as API keys, database credentials, or internal network configurations. Furthermore, an attacker could potentially use the compromised server as a launchpad for lateral movement within the network, gaining access to other systems and data. The lack of proper input validation on the URL allows for arbitrary hostnames to be specified, greatly expanding the potential attack surface.

1. Reserved2024-11-08
2. Published2025-03-20
3. Modified2025-07-15
4. EPSS updated2026-04-02

The primary mitigation for CVE-2024-11031 is to upgrade to a patched version of gptacademic as soon as it becomes available. Until a patch is deployed, implement temporary workarounds to reduce the attack surface. These include configuring a Web Application Firewall (WAF) to block requests containing suspicious URLs or patterns. Network segmentation can also limit the potential impact by isolating the gptacademic server from sensitive internal resources. Implement strict URL validation within the HotReload plugin to ensure that only trusted domains are accessed. Consider disabling the HotReload plugin entirely if it is not essential for the application's functionality.