CVE-2026-5536: FedML-AI FedML insecure deserialization in gRPC server

CVE-2026-5536 · Severity: high · CVSS 7.3 · Published 2026-04-05

FedML, a platform for federated machine learning, contains a security vulnerability in its communication server. An attacker can remotely send a specially crafted message to the server that forces it to execute malicious code. This could allow an unauthorized user to take full control of the machine learning node, potentially leading to data theft or disruption of the training process.

Technologies: Tensoropera Fedml. Vendors: Tensoropera.

Quick answers

Is CVE-2026-5536 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-5536 being exploited in the wild.
How severe is CVE-2026-5536?
High severity, with a CVSS score of 7.3, published 5 April 2026.
Which products and versions are affected?
FedML-AI FedML up to 0.8.9.
Is there a fix for CVE-2026-5536?
No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.
How is CVE-2026-5536 attacked?
It is attacked over the network, in a software library.
Am I affected by CVE-2026-5536?
Check whether you run Tensoropera Fedml. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

Technical details

FedML is vulnerable to Remote Code Execution (RCE) via the gRPC server component. The vulnerability exists in the sendMessage function within grpc_server.py, where incoming network messages are passed to pickle.loads() in grpc_comm_manager.py without prior validation. Because the gRPC server is configured to listen on all interfaces (0.0.0.0) using add_insecure_port() and does not require authentication, a remote attacker can send a malicious Python pickle payload to achieve arbitrary code execution. The vendor was notified but has not yet provided a patch; users should restrict network access to the gRPC ports (default 8890+).

Affected products

  • FedML-AI FedML up to 0.8.9

Timeline

  • 2026-03-18: disclosed: Initial disclosure on GitHub issues
  • 2026-04-05: advisory: NVD/VulDB advisory published

References

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