Answer in brief
CVE-2026-90614 records a Unknown severity vulnerability in FedML-AI FedML MQTT+S3 Communication Backend remote_storage.py S3Storage.read_model deserialization. The current sources do not mark it as known exploited. The current feed maps FedML-AI/FedML (generic). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
A CVSS score is not reported in the current record. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps FedML-AI/FedML (generic). Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| FedML-AI/FedMLgeneric | 0.9.0 || 0.9.1 || 0.9.2 || 0.9.3 || 0.9.4 || 0.9.5 || 0.9.6 | Not reported |
Published upstream
Sep 14, 2026
Evidence: source:cvelist:source_dates:source-dates:recordSource modified
Sep 14, 2026
Evidence: source:cvelist:source_dates:source-dates:recordFirst seen by HOL
Sep 14, 2026
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.
Quoted source text, attributed separately from HOL analysis.