What is the CVSS score of CVE-2026-0762?

CVE-2026-0762 has a CVSS 3.0 base score of 8.1 (High). CVSS vector: CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.5%.

Which versions of AI / ML are affected by CVE-2026-0762?

A remote code execution vulnerability (CVE-2026-0762) affects GPT Academic installations, allowing attackers to execute arbitrary commands without authentication.

How to fix or mitigate CVE-2026-0762?

Within 24 hours: Identify all GPT Academic instances across the organization and isolate affected systems from production networks if possible. Within 7 days: Implement network segmentation to restrict access to GPT Academic instances, disable the vulnerable stream_daas deserialization feature if operationally feasible, and deploy WAF rules to block suspicious deserialization payloads. Within 30 days: Monitor vendor communications for patch availability; establish a contingency plan for system replacement or decommissioning if no patch is released; conduct threat hunting to detect any prior exploitation attempts.

AI / ML CVE-2026-0762

HIGH

Deserialization of Untrusted Data (CWE-502)

2026-01-23 zdi-disclosures@trendmicro.com

RCE Deserialization AI / ML Gpt Academic

8.1

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

8.1 HIGH

AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

High

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 21:54 vuln.today

CVE Published

Jan 23, 2026 - 04:16 nvd

HIGH 8.1

DescriptionCVE.org

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.

AnalysisAI

Remote code execution in GPT Academic's stream_daas function results from improper deserialization of untrusted data when communicating with external servers, allowing unauthenticated attackers to execute arbitrary code with root privileges. The vulnerability requires interaction with a malicious DAAS server and currently has no available patch. Organizations using GPT Academic should implement network controls to restrict connections to untrusted DAAS services until patching is available.

Technical ContextAI

Classified as CWE-502 (Deserialization of Untrusted Data). Affects the stream_daas component of Gpt Academic. 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 res