CVE intelligence and bounded remediation

CVE-2026-5536 — A weakness has been identified in FedML-AI FedML up to 0.8.9

High CVSS 7.5

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.

Severity
High
CVSS
7.5 (2.0)
Published
2026-04-05
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-20, CWE-502

Affected products

  • tensoropera / fedml

Matched remediation archetype

Unsafe deserialization and object reconstruction

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Check exposure

  • Inventory serialization formats accepted from requests, queues, caches, files, cookies, and cross-service messages.
  • Trace whether untrusted input can select classes, types, callbacks, constructors, or object hooks during decoding.
  • Identify signing, schema validation, trust-boundary, and compatibility settings for each decoder.

Remediate safely

  • Replace native object deserialization with a data-only format and explicit schema validation.
  • If replacement is not immediate, use a safe decoder with a minimal type allowlist and disable polymorphic or executable hooks.
  • Update the affected library and add inert tests for unknown types, extra fields, malformed nesting, and unsigned data.

Authoritative sources

Complete CVE record and remediation plan

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