Deserialization RCE in GPT Academic Upload Endpoint Without Authentication

Publication date: 2026-01-23

Last updated on: 2026-02-18

Assigner: Zero Day Initiative

Description

GPT Academic upload 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 upload endpoint. 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-27957.

CVSS Scores

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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

CVE-2026-0764

EUVD

EUVD-2026-4470

Affected Vendors & Products

Vendor	Product	Version / Range
binary-husky	gpt_academic	3.91

Helpful Resources

Exploitability

CWE

KEV

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

Attack-Flow Graph

Executive Summary

CVE-2026-0764 is a critical vulnerability in GPT Academic's upload endpoint where improper validation of user-supplied data leads to deserialization of untrusted data. This flaw allows remote attackers to execute arbitrary code on the affected system without needing authentication. [1]

Impact Analysis

This vulnerability can allow remote attackers to execute arbitrary code with root privileges on affected GPT Academic installations. This means attackers can take full control of the system, potentially leading to data theft, system compromise, or disruption of services. [1]

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