CVE-2025-11157: Feast remote code execution in Kubernetes materializer job

CVE-2025-11157 · Severity: high · CVSS 7.8 · Published 2026-01-01

Feast is an open-source feature store used to manage and serve machine learning data. A security flaw in its Kubernetes component allows an attacker who can modify certain configuration files to execute malicious commands on the system. This could lead to a complete takeover of the data processing environment, potentially resulting in data theft or the corruption of machine learning models.

Technologies: feast (PyPI). Vendors: PyPI.

Quick answers

Is CVE-2025-11157 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2025-11157 being exploited in the wild.
How severe is CVE-2025-11157?
High severity, with a CVSS score of 7.8, published 1 January 2026.
Which products and versions are affected?
Feast Dev Feast < 0.54.0; feast (PyPI) ECOSYSTEM:introduced=0,fixed=0.54.0.
Is there a fix for CVE-2025-11157?
Yes. feast (PyPI): upgrade to 0.54.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2025-11157 attacked?
It is attacked with local access, in a software library.
Am I affected by CVE-2025-11157?
Check whether you run Feast Dev Feast or feast (PyPI) at an affected version. 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.

How to fix

  • feast (PyPI): upgrade to 0.54.0 or later
    pip install "feast>=0.54.0"

Technical details

A remote code execution vulnerability exists in Feast due to the use of the unsafe `yaml.load()` function with `yaml.Loader` in the Kubernetes materializer job. Specifically, the component `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py` insecurely deserializes `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. An attacker with local access or the ability to modify these YAML files can instantiate arbitrary Python objects to execute OS commands on the worker pod. This can occur before configuration validation, potentially leading to cluster takeover or supply-chain sabotage. The issue is resolved in version 0.54.0 by switching to `yaml.safe_load()`.

Affected products

  • feast-dev Feast < 0.54.0
  • Red Hat OpenShift AI 2.25 < 2.25.5

Identifiers

  • CVE-2025-11157
  • GHSA-34wm-4hw7-qfjv
  • PYSEC-2026-1366

Timeline

  • 2026-01-01: disclosed: Vulnerability reported via huntr.dev
  • 2026-01-01: advisory: CVE-2025-11157 published
  • 2026-04-23: patched: Red Hat released fix for OpenShift AI 2.25.5

References

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