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AI / ML CVE-2026-0764

CRITICAL
Deserialization of Untrusted Data (CWE-502)
2026-01-23 zdi-disclosures@trendmicro.com
RCE Deserialization AI / ML Gpt Academic
9.8
CVSS 3.0 · NVD
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Severity by source

NVD PRIMARY
9.8 CRITICAL
AV:N/AC:L/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:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

2
Analysis Generated
Mar 12, 2026 - 21:54 vuln.today
CVE Published
Jan 23, 2026 - 04:16 nvd
CRITICAL 9.8

DescriptionCVE.org

GPT Academic upload Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Authentication is not required to exploit this vulnerability.

The specific flaw exists within the upload endpoint. 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-27957.

AnalysisAI

GPT Academic has a second insecure deserialization vulnerability in the upload function (EPSS 1.5%) allowing remote code execution through crafted file uploads.

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Send malicious serialized object to upload endpoint
Exploit
Trigger deserialization of untrusted data
Impact
Execute arbitrary code as root
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Vulnerability AssessmentAI

Exploitation No special conditions — remote unauthenticated exploitation against default GPT Academic installations with enabled upload endpoint accepting serialized data without validation. Additional conditions and limiting factors are described in the full assessment.
Risk Assessment CVSS 9.8, EPSS 1.5%. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker uploads a file containing a crafted serialized payload to GPT Academic. The upload handler deserializes the content, triggering code execution on the server.
Remediation Update GPT Academic. … Detailed patch versions, workarounds, and compensating controls in full report.
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Recommended ActionAI

Within 24 hours: Identify all systems running GPT Academic and isolate them from production networks; disable the upload/deserialization feature if possible. …

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CVE-2026-0764 vulnerability details – vuln.today
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