CVE-2026-0762
Unknown Unknown - Not Provided
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.
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Meta Information
Published
2026-01-23
Last Modified
2026-02-18
Generated
2026-06-16
AI Q&A
2026-01-23
EPSS Evaluated
2026-06-14
NVD
CVE-2026-0762
EUVD
EUVD-2026-4461
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
binary-husky gpt_academic 3.91
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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 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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