AI / ML CVE-2026-0762
HIGHSeverity by source
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
Lifecycle Timeline
2DescriptionCVE.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. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | GPT Academic must be configured to interact with attacker-controlled or compromised DAAS server; stream_daas function must process external serialized data without validation; requires network connectivity between victim and malicious DAAS endpoint. Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | CVSS 8.1 (HIGH). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | A remote attacker could exploit this vulnerability to execute arbitrary code on affected installations of GPT Academic. |
| Remediation | Monitor vendor advisories for a patch. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours: Identify all GPT Academic instances across the organization and isolate affected systems from production networks if possible. …
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External POC / Exploit Code
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