CVE-2026-5536: Deserialization in FedML-AI FedML
A weakness has been identified in FedML-AI FedML up to 0.8.9. Affected is the function sendMessage of the file grpc_server.py of the component gRPC server. Executing a manipulation can lead to deserialization. The attack may be performed from remote. The vendor was contacted early about this disclosure but did not respond in any way.
AI Analysis
Technical Summary
This vulnerability affects the sendMessage function within the grpc_server.py file of the FedML gRPC server component in versions 0.8.0 through 0.8.9. An attacker can remotely manipulate inputs to trigger unsafe deserialization, potentially leading to unintended code execution or other impacts associated with deserialization flaws. The CVSS 4.0 base score is 6.9, reflecting network attack vector, no privileges required, no user interaction, and low to low impact on confidentiality, integrity, and availability. No official remediation or patch has been published, and the vendor has not responded to disclosure attempts.
Potential Impact
Successful exploitation could allow a remote attacker to cause unsafe deserialization in the FedML gRPC server, potentially leading to partial compromise of confidentiality, integrity, or availability of the affected system. The impact is rated medium severity with low to low impact on security properties. There are no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded or provided a fix, users should consider implementing network-level protections such as restricting access to the gRPC server to trusted sources and monitoring for unusual activity related to the sendMessage function. Avoid exposing the vulnerable service to untrusted networks until a patch or official mitigation is available.
CVE-2026-5536: Deserialization in FedML-AI FedML
Description
A weakness has been identified in FedML-AI FedML up to 0.8.9. Affected is the function sendMessage of the file grpc_server.py of the component gRPC server. Executing a manipulation can lead to deserialization. The attack may be performed from remote. The vendor was contacted early about this disclosure but did not respond in any way.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability affects the sendMessage function within the grpc_server.py file of the FedML gRPC server component in versions 0.8.0 through 0.8.9. An attacker can remotely manipulate inputs to trigger unsafe deserialization, potentially leading to unintended code execution or other impacts associated with deserialization flaws. The CVSS 4.0 base score is 6.9, reflecting network attack vector, no privileges required, no user interaction, and low to low impact on confidentiality, integrity, and availability. No official remediation or patch has been published, and the vendor has not responded to disclosure attempts.
Potential Impact
Successful exploitation could allow a remote attacker to cause unsafe deserialization in the FedML gRPC server, potentially leading to partial compromise of confidentiality, integrity, or availability of the affected system. The impact is rated medium severity with low to low impact on security properties. There are no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded or provided a fix, users should consider implementing network-level protections such as restricting access to the gRPC server to trusted sources and monitoring for unusual activity related to the sendMessage function. Avoid exposing the vulnerable service to untrusted networks until a patch or official mitigation is available.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-04-04T06:40:50.140Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69d1dada0a160ebd92844ac4
Added to database: 4/5/2026, 3:45:30 AM
Last enriched: 4/12/2026, 3:09:18 PM
Last updated: 5/20/2026, 6:50:30 AM
Views: 74
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