CVE-2024-11039: Deserialization of Untrusted Data in binary-husky/gpt_academic
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.
Classification
CVE ID: CVE-2024-11039
CVSS Base Severity: HIGH
CVSS Base Score: 8.8
CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Problem Types
CWE-502 Deserialization of Untrusted DataAffected Products
Vendor: binary-husky
Product: binary-husky/gpt_academic
Exploit Prediction Scoring System (EPSS)
EPSS Score: 0.09% (probability of being exploited)
EPSS Percentile: 26.74% (scored less or equal to compared to others)
EPSS Date: 2025-04-18 (when was this score calculated)
References
https://nvd.nist.gov/vuln/detail/CVE-2024-11039https://huntr.com/bounties/f233a365-522c-44f6-876f-db492fb58ad5
https://github.com/binary-husky/gpt_academic/commit/91f5e6b8f754beb47b02f7c1893804c1c9543ccb