AI / ML CVE-2026-0760
CRITICALSeverity by source
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
Lifecycle Timeline
2DescriptionCVE.org
Foundation Agents MetaGPT deserialize_message Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foundation Agents MetaGPT. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the deserialize_message 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 the service account. Was ZDI-CAN-28121.
AnalysisAI
MetaGPT by Foundation Agents has an insecure deserialization in deserialize_message (EPSS 1.7%) enabling remote code execution through crafted serialized data in AI agent communications.
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | No special conditions — remote unauthenticated exploitation against Foundation Agents MetaGPT instances with deserialize_message function accepting network-supplied serialized objects. Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | CVSS 9.8, EPSS 1.7%. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker injects a crafted serialized payload into MetaGPT's message queue. When another agent deserializes the message, the payload executes arbitrary code, potentially compromising all agents in the system. |
| Remediation | Update MetaGPT. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours: Identify and inventory all MetaGPT deployments in your environment; isolate affected systems from production networks if operationally feasible; enable enhanced logging and monitoring for suspicious deserialization activity. …
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