CVE-2024-12392 Server-Side Request Forgery (SSRF) in binary-husky/gpt_academic

Medium 6.5 Published 20 Mar 2025 Updated 20 Mar 2025

Attackers can exploit incomplete URL validation in the paper download feature to access internal services and read sensitive server-side data.

Exploited in the wild: Not known
Login needed: Any signed-in user
Attackable: Over the internet
Victim action needed: Not needed
Fix: None listed

What is CVE-2024-12392?

CVE-2024-12392 is a medium-severity server-side request forgery vulnerability in binary-husky/gpt_academic, published on 20 Mar 2025. Any signed-in user can exploit it over the network, with no action from the victim.

Official description

A Server-Side Request Forgery (SSRF) vulnerability exists in binary-husky/gpt_academic version git 310122f. The application has a functionality to download papers from arxiv.org, but the URL validation is incomplete. An attacker can exploit this vulnerability to make the application access any URL, including internal services, and read the response. This can be used to access data that are only accessible from the server, such as AWS metadata credentials, and can escalate local exploits to network-based attacks.

Weakness: CWE-918

Which versions are affected by CVE-2024-12392?

It affects 1 product.

Products include Binary-Husky Gpt Academic.

How do I fix CVE-2024-12392?

No fix has been published for CVE-2024-12392 yet. Limit exposure of the affected software until one is available.

Upgrade, and send outbound requests through an allow-list that blocks internal addresses. More about Server-side request forgery.

Is CVE-2024-12392 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-12392 exists.

Sources

Also known as GHSA-5mh3-rhm7-jxx3.