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VulnerabilityPublished Updated

CVE-2026-5536: FedML · Deserialization

Affects FedMLSource CVE Database V5

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Not known to be exploited · CVSS 6.9 Medium.

Data as of 29 Oct 2026, 19:04 UTC

CVSS 4.0 base score
6.9Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 31% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 5 Apr 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
FedML-AIFedMLAffected
  • 0.8.0 – 0.8.9
10 affected builds
Fixed in–
PyPIfedml-ai/fedmlpkg:pypi/fedml-ai/fedmlOther threatsAffected
  • 0.8.0 – 0.8.9
10 affected builds
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

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.

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.

References

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