CVE-2026-0764
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
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| binary-husky | gpt_academic | 3.91 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-502 | The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
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]
How can this vulnerability impact me? :
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]