Vulnerability · Published Mar 20, 2025 · Assigned by @huntr_ai
CVE-2024-11039Deserialization of Untrusted Data in binary-husky/gpt_academic
High 8.8
In plain English
A high-severity unsafe deserialization in binary-husky/gpt_academic from binary-husky. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 2.1% (higher than 82% of all known vulnerabilities).
Official description
A pickle deserialization vulnerability exists in the Latex English error correction plug-in function of binary-husky/gpt_academic versions up to and including 3.83. This vulnerability allows attackers to achieve remote command execution by deserializing untrusted data. The issue arises from the inclusion of numpy in the deserialization whitelist, which can be exploited by constructing a malicious compressed package containing a merge_result.pkl file and a merge_proofread_en.tex file. The vulnerability is fixed in commit 91f5e6b.
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| binary-husky | binary-husky/gpt_academic | unspecified – before 91f5e6b |
Weakness: CWE-502 · Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H