AVID-2026-R1375
Description
Deserialization of Untrusted Data in binary-husky/gpt_academic (CVE-2024-11039)
Details
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.
Reason for inclusion in AVID: CVE-2024-11039 describes a pickle deserialization vulnerability in binary-husky/gpt_academic that enables remote code execution via untrusted data. The affected artifact is an AI-related software component used within AI workflows/pipelines, constituting a software supply-chain item in general-purpose AI systems. The report provides explicit vulnerability behavior and a fix commit, satisfying evidentiary requirements.
References
- NVD entry
- https://huntr.com/bounties/f233a365-522c-44f6-876f-db492fb58ad5
- https://github.com/binary-husky/gpt_academic/commit/91f5e6b8f754beb47b02f7c1893804c1c9543ccb
Affected or Relevant Artifacts
- Developer: OpenAI
- Deployer: OpenAI
- Artifact Details:
| Type | Name |
|---|---|
| System | binary-husky/gpt_academic |
Impact
AVID Taxonomy Categorization
- Risk domains: Security
- SEP subcategories: S0100: Software Vulnerability
- Lifecycle stages: L06: Deployment
CVSS
| Version | 3.0 |
| Vector String | CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
| Base Score | 8.8 |
| Base Severity | 🔴 High |
| Attack Vector | NETWORK |
| Attack Complexity | 🟢 Low |
| Privileges Required | 🟢 Low |
| User Interaction | NONE |
| Scope | UNCHANGED |
| Confidentiality Impact | 🔴 High |
| Integrity Impact | 🔴 High |
| Availability Impact | 🔴 High |
CWE
| ID | Description |
|---|---|
| CWE-502 | CWE-502 Deserialization of Untrusted Data |
Other information
- Report Type: Advisory
- Credits:
- Date Reported: 2025-03-20
- Version: 0.3.3
- AVID Entry