SSRF in Binary-Husky Binary-Husky/gpt Academic
CVE-2024-12392
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.
Vulnerability class: SSRF (Server-Side Request Forgery)
EPSS: 0.006 (43.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N.
Affected products
- Binary-husky Binary-husky/gpt_academic — versions unspecified
- Binary-husky Gpt_academic — versions 2024-10-15
Weakness classification (CWE)
References
- security@huntr.dev (Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2024-12392?
- CVE-2024-12392 is a medium-severity vulnerability in Binary-Husky Binary-Husky/gpt Academic, classified under Server-Side Request Forgery (SSRF). CVSS score: 6.5/10. Published 2025-03-20.
- How severe is CVE-2024-12392?
- Medium severity. CVSS v3 base score is 6.5 out of 10.