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CVE Record

CVE-2025-11157: Arbitrary Code Execution in feast-dev/feast

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.

HighCVSS 7.8Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

Feast Kubernetes materializer jobs may run attacker-controlled code if trusted YAML configuration files are modified. This is serious because the worker pod handles feature materialization and may have access to data, credentials, or cluster resources.

Executive priority

Prioritize systems where Feast runs in Kubernetes with access to sensitive ML data or cluster credentials. This is not confirmed as exploited, but the impact can include worker compromise, data poisoning, and broader operational disruption.

Technical view

CVE-2025-11157 is unsafe deserialization in feast-dev/feast 0.53.0. The Kubernetes materializer loads feature_store.yaml and materialization_config.yaml with yaml.load and yaml.Loader before validation, allowing arbitrary Python object instantiation and code execution if an attacker can alter those files.

Likely exposure

Exposure is most likely in Kubernetes deployments using Feast materializer jobs where users, pipelines, mounted volumes, or configuration systems can modify the two YAML files. The bundle does not identify all affected versions beyond 0.53.0.

Exploitation context

The provided CVSS vector is local, low complexity, low privilege, and no user interaction. No KEV listing is provided, and the source bundle does not confirm active exploitation. Abuse requires write access to the relevant YAML configuration files.

Researcher notes

The core issue is CWE-502 unsafe deserialization before config validation. Validation should focus on the Kubernetes materializer path and control over /var/feast/feature_store.yaml and /var/feast/materialization_config.yaml. Avoid assuming remote unauthenticated exploitation.

Mitigation direction

  • Apply vendor fixes referenced by the Feast commit and Red Hat advisory.
  • Restrict write access to Feast materializer configuration files and backing volumes.
  • Review Kubernetes RBAC for users and workloads that can alter materializer job inputs.
  • Treat feature-store configuration changes as privileged, reviewed deployment changes.
  • If no fixed package is available, follow Feast and Red Hat guidance.

Validation and detection

  • Inventory Feast deployments and identify Kubernetes materializer usage.
  • Check for feast-dev/feast version 0.53.0 in images and dependencies.
  • Review who can modify feature_store.yaml and materialization_config.yaml.
  • Inspect Kubernetes audit logs for unexpected materializer configuration changes.
  • Confirm deployed code no longer uses unsafe yaml.Loader for these files.
Prepared
Confidence
medium
Sources
8

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.

ATT&CK lookup starting points

Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.

cwe · medium confidence lookup

CWE-502: Code execution behavior lookup

Code execution and unsafe deserialization weaknesses often justify reviewing execution behavior and process telemetry. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.

Open ATT&CK lookup
description · low confidence lookup

Execution behavior lookup

The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.

Open ATT&CK lookup
description · low confidence lookup

Container behavior lookup

The affected technology mentions containers, so container-specific ATT&CK technique review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.

Open ATT&CK lookup
cve · low confidence lookup

CVE-2025-11157 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

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Vulnerability profileCVE Program record
Severity
High
CVSS
7.8 (3.0)
Known Exploited
No
Published

Vector: CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

2CVSS vectors
5Timeline events
2ADP providers
7Source links

SSVC decision data

CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: pocAutomatable: noTechnical Impact: total

CVSS vector scores

2 official scores

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
7.8CVSS 3.0HighCVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H1.85.9@huntr_ai
7.8CVSS 3.1HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H1.85.9redhat-SADP

Vulnerability scoring details

Base CVSS 3.1 score

7.8High
CVSS 3.1 vector shape for CVE-2025-11157Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Vulnerability timeline

Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.

  1. CVE reservedCVE Program

    The CVE ID was reserved by the assigning CNA.

  2. ADP timelineredhat-SADP

    Made public.

  3. CVE publishedCVE Program

    The CVE record was published.

  4. ADP timelineredhat-SADP

    Reported to Red Hat.

  5. CVE updatedCVE Program

    The CVE record metadata indicates this as the latest update time.

ADP provider summaries

CISA-ADPCISA ADP Vulnrichment
other:ssvc
redhat-SADPfeast: Feast: Remote Code Execution via insecure YAML deserialization
other:Red Hat severity ratingcvssV3_1
  • 2026-01-01T08:00:48.932Z: Reported to Red Hat.
  • 2026-01-01T07:03:57.277Z: Made public.

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
feast-devfeast-dev/feastunspecifiedListed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-502 · source CWE mapping

Deserialization of Untrusted Data

Deserialization of Untrusted Data represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.