CVE-2026-0762
moderate-risk
Published 2026-01-23
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.
Do I need to act?
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0.49% chance of exploitation
EPSS score — low exploit probability
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Not on CISA KEV list
No confirmed active exploitation reported to CISA
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Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
8
CVSS 8.1/10
High
NETWORK
/ HIGH complexity
Affected Products (1)
Affected Vendors
References (1)
31
/ 100
moderate-risk
Severity
24/34 · High
Exploitability
2/34 · Minimal
Exposure
5/34 · Minimal