CVE-2026-0762
8.1 · HIGHOverview
CVE-2026-0762 is a high-severity vulnerability affecting binary-husky gpt_academic. It was published on January 23, 2026 and has a CVSS 3.0 base score of 8.1 (HIGH).
This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical 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.
Remediation
Check the references section for vendor advisories and patches from binary-husky. Update gpt_academic to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
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Frequently Asked Questions
What is CVE-2026-0762?
CVE-2026-0762 is a high-severity vulnerability affecting binary-husky gpt_academic. It was published on January 23, 2026 and has a CVSS 3.0 base score of 8.1 (HIGH).
How severe is CVE-2026-0762?
This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2026-0762?
Check the references section for vendor advisories and patches from binary-husky. Update gpt_academic to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2026-0762?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-0762 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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