GHSA-34wm-4hw7-qfjv · Severity: high · Ecosystem: pip — Feast vulnerable to Deserialization of Untrusted Data
A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage.
Conclusion & alert: CVE-2025-11157 is rated Moderate Risk (44.5/100): CVSS High severity, with low exploitation likelihood (EPSS 0.17%). Mandatory action: Review affected assets and schedule remediation.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-05-30 | 0.27% | 0.17% | -0.10% |
| 2 | 2026-03-28 | 0.15% | 0.27% | +0.12% |
| 3 | 2026-02-18 | — | 0.15% | — |
Full EPSS history (5 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 7.8 | 3.0 | HIGH |
|
1.8 | 5.9 | [email protected] |
GHSA-34wm-4hw7-qfjv · Severity: high · Ecosystem: pip — Feast vulnerable to Deserialization of Untrusted Data
| vendor | priority | summary | link |
|---|---|---|---|
redhat
|
high | — | https://access.redhat.com/security/cve/CVE-2025-11157 |
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||