Deserialization RCE in GPT Academic stream_daas Function

Publication date: 2026-01-23

Last updated on: 2026-02-18

Assigner: Zero Day Initiative

Description

GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Interaction with a malicious DAAS server is required to exploit this vulnerability but attack vectors may vary depending on the implementation. The specific flaw exists within the stream_daas 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-27956.

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

2026-07-04

NVD

CVE-2026-0762

EUVD

EUVD-2026-4461

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

This vulnerability is a remote code execution flaw in the GPT Academic product, specifically in the stream_daas function. It occurs because the function does not properly validate user-supplied data, which leads to deserialization of untrusted data. An attacker can exploit this by interacting with a malicious DAAS server, allowing them to execute arbitrary code with root privileges on the affected system. [1]

Impact Analysis

If exploited, this vulnerability allows a remote attacker to execute arbitrary code with root privileges on the affected system. This can lead to complete compromise of the system, including unauthorized access, data theft, data modification, or disruption of services. [1]

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