binary-husky gpt_academic up to 3.83 Latex English Error Correction Plug-In deserialization

Summaryinfo

A vulnerability, which was classified as very critical, was found in binary-husky gpt_academic up to 3.83. Affected by this vulnerability is an unknown functionality of the component Latex English Error Correction Plug-In. Executing a manipulation can lead to deserialization. This vulnerability is registered as CVE-2024-11039. It is possible to launch the attack remotely. No exploit is available. It is best practice to apply a patch to resolve this issue.

Detailsinfo

A vulnerability has been found in binary-husky gpt_academic up to 3.83 and classified as very critical. This vulnerability affects some unknown functionality of the component Latex English Error Correction Plug-In. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

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.

The advisory is available at huntr.com. This vulnerability was named CVE-2024-11039 since 11/09/2024. The exploitation appears to be easy. The attack can be initiated remotely. The technical details are unknown and an exploit is not available. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment (estimation calculated on 07/14/2025).

Applying the patch 91f5e6b8f754beb47b02f7c1893804c1c9543ccb is able to eliminate this problem. The bugfix is ready for download at github.com.

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Productinfo

Vendor

• binary-husky

Name

• gpt_academic

Version

• 3.0
• 3.1
• 3.2
• 3.3
• 3.4
• 3.5
• 3.6
• 3.7
• 3.8
• 3.9
• 3.10
• 3.11
• 3.12
• 3.13
• 3.14
• 3.15
• 3.16
• 3.17
• 3.18
• 3.19
• 3.20
• 3.21
• 3.22
• 3.23
• 3.24
• 3.25
• 3.26
• 3.27
• 3.28
• 3.29
• 3.30
• 3.31
• 3.32
• 3.33
• 3.34
• 3.35
• 3.36
• 3.37
• 3.38
• 3.39
• 3.40
• 3.41
• 3.42
• 3.43
• 3.44
• 3.45
• 3.46
• 3.47
• 3.48
• 3.49
• 3.50
• 3.51
• 3.52
• 3.53
• 3.54
• 3.55
• 3.56
• 3.57
• 3.58
• 3.59
• 3.60
• 3.61
• 3.62
• 3.63
• 3.64
• 3.65
• 3.66
• 3.67
• 3.68
• 3.69
• 3.70
• 3.71
• 3.72
• 3.73
• 3.74
• 3.75
• 3.76
• 3.77
• 3.78
• 3.79
• 3.80
• 3.81
• 3.82
• 3.83

License

• open-source

Website

• Product: https://github.com/binary-husky/gpt_academic/

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