CVE-2026-90614

MEDIUMPre-NVD 6.36.3—
EchelonGraph scoreHIGH confidence

Score 6.3 from GitHub Security Advisory published 2026-09-14. a secondary CVSS source baseline 6.3; sources differ by 0.0.

Triggered by: GitHub Security Advisory CVSS
Sources: epss, ghsa, secondary
Trending — 4 sources updated this week
6.3EG
EchelonGraph verdictMonitorLow exploitation likelihood right now — keep watching.
  • Lower severity and no public exploit yet
CISA-KEV: Not listedEPSS PROB: 0%CVSS: 6.3Exploit: None knownExposed: 0

No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.

A weakness has been identified in FedML-AI FedML up to 0.9.6. Affected by this issue is the function S3Storage.read_model of the file fedml/core/distributed/communication/s3/remote_storage.py of the component MQTT+S3 Communication Backend. This manipulation of the argument s3_key_str causes deserialization. Remote exploitation of the attack is possible. The project was informed of the problem early through an issue report but has not responded yet.

CVSS v3
6.3
EG Score
6.3(high)
EG Risk
28(Track)
EG Risk 28/100SSVC: Track

EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).

How it’s computed
Severity63% × 45%
Exploitation0% × 40%
Automatability0% × 15%
Action: Routine — remediate on your standard cadence.
EPSS PROB
0%
EPSS %ILE
16%
KEV
Not listed

Published

September 14, 2026

Last Modified

September 14, 2026

Advisory Details (2)

Auto-updated Sep 14, 2026
No patch confirmed yet.
generic

GitHub - FedML-AI/FedML: FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale. · GitHub

https://github.com/FedML-AI/FedML/
generic

Please enable private vulnerability reporting (no security channel currently exists) · Issue #2267 · FedML-AI/FedML · GitHub

https://github.com/FedML-AI/FedML/issues/2267

Vendor Advisories for CVE-2026-90614(1)

These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.

Weakness Classification(2)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 23× in last 7d / 23× in last 30d)

Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.

  1. 2026-09-19 21:16 UTCEG score recompute
  2. 2026-09-19 21:16 UTCGHSA enrichment
  3. 2026-09-18 21:16 UTCEG score recompute
  4. 2026-09-18 21:16 UTCGHSA enrichment
  5. 2026-09-18 19:28 UTCEPSS rescore
  6. 2026-09-17 21:13 UTCEG score recompute
  7. 2026-09-17 21:13 UTCGHSA enrichment
  8. 2026-09-17 19:32 UTCEPSS rescore
  9. 2026-09-16 21:12 UTCEG score recompute
  10. 2026-09-16 21:12 UTCGHSA enrichment
  11. 2026-09-16 14:09 UTCEPSS rescore
  12. 2026-09-16 05:15 UTCEPSS rescore
  13. 2026-09-15 21:05 UTCEG score recompute
  14. 2026-09-15 21:05 UTCGHSA enrichment
  15. 2026-09-15 03:12 UTCEPSS rescore
  16. 2026-09-14 21:05 UTCGHSA enrichment
  17. 2026-09-14 16:25 UTCEG score recompute
  18. 2026-09-14 16:25 UTCGHSA enrichment
  19. 2026-09-14 15:21 UTCEG score recompute
  20. 2026-09-14 15:20 UTCGHSA enrichment
  21. 2026-09-14 02:20 UTCEG score recompute
  22. 2026-09-14 02:05 UTCEG score recompute
  23. 2026-09-14 02:04 UTCMITRE cvelistV5first tracked

Related CVEs(same CWE)

Frequently asked(5)

What is CVE-2026-90614?
CVE-2026-90614 is a medium vulnerability published on September 14, 2026. A weakness has been identified in FedML-AI FedML up to 0.9.6. Affected by this issue is the function S3Storage.readmodel of the file fedml/core/distributed/communication/s3/remotestorage.py of the component MQTT+S3 Communication Backend. This manipulation of the argument s3keystr causes…
When was CVE-2026-90614 disclosed?
CVE-2026-90614 was first published in the National Vulnerability Database on September 14, 2026. EchelonGraph re-ingests CVE updates from NVD on a 2-hour cycle, so this page reflects the latest published state.
Is CVE-2026-90614 actively exploited?
CVE-2026-90614 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 0% probability of exploitation in the next 30 days, which ranks it in the top 83.7% of all scored CVEs.
What is the CVSS score of CVE-2026-90614?
CVE-2026-90614 has a CVSS v3 base score of 6.3 (NVD).
How do I remediate CVE-2026-90614?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2026-90614, EchelonGraph cross-links them in the Vendor Advisories panel below — those typically contain the canonical remediation steps, fixed version numbers, and any vendor-specific mitigations.

Dependency Blast Radius

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