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).

Severity (CVSS 3.0)8.8High
Exploit odds (30 days)2.1%top 18.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

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)

VendorProductVersions
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

References