CVE-2026-0763
Unknown Unknown - Not Provided

Deserialization RCE in GPT Academic run_in_subprocess_wrapper_func

Vulnerability report for CVE-2026-0763, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-01-23

Last updated on: 2026-02-18

Assigner: Zero Day Initiative

Description

GPT Academic run_in_subprocess_wrapper_func Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Authentication is not required to exploit this vulnerability. The specific flaw exists within the run_in_subprocess_wrapper_func function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27958.

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Meta Information

Published
2026-01-23
Last Modified
2026-02-18
Generated
2026-07-06
AI Q&A
2026-01-23
EPSS Evaluated
2026-07-05
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
binary-husky gpt_academic 3.91

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-502 The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

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Executive Summary

This vulnerability exists in the run_in_subprocess_wrapper_func function of GPT Academic. It occurs because the function improperly validates user-supplied data, leading to deserialization of untrusted data. This flaw allows remote attackers to execute arbitrary code with root privileges on affected systems without needing authentication. [1]

Impact Analysis

An attacker can remotely execute arbitrary code with root privileges on your system running GPT Academic. This can compromise the confidentiality, integrity, and availability of your system, potentially leading to full system takeover without requiring any authentication or user interaction. [1]

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