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CVE-2026-0762

8.1 · HIGH

GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability.

Published Jan 23, 2026CWE-502EPSS 0.76%

Overview

CVE-2026-0762 is a high-severity vulnerability. 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, patches, and mitigation guidance. 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.

References

Refwww.zerodayinitiative.com/advisories/ZDI-26-028/

How CyberStrike helps

Frequently asked questions

What is CVE-2026-0762?

CVE-2026-0762 is a high-severity vulnerability. 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, patches, and mitigation guidance. 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 is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-0762 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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