Feast: feast: authorization bypass in /materialize endpoints enables dos via unauthorized full re-materialization
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
- Exploitation: none
- Automatable: no
- Technical impact: partial
Summary
A flaw was found in Feast. An authorization bypass vulnerability exists in the /materialize and /materialize-incremental endpoints. By sending a specially crafted request that omits the feature_views field, an attacker can bypass intended permission checks. This allows an unauthenticated remote attacker, or any authenticated user, to trigger a full re-materialization of all feature views. The consequence is a Denial of Service (DoS) due to data corruption and significant resource consumption across all tenants.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: none · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- rhoai/odh-feature-server-rhel9
Version range not reported
- rhoai/odh-feature-server-rhel9
Version range not reported
- rhoai/odh-feature-server-rhel9
Version range not reported
- rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9
Version range not reported
- rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9
Version range not reported
- rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9
Version range not reported
- rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9
Version range not reported
- rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9
Version range not reported
- rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9
Version range not reported
- rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9
Version range not reported
- rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9
Version range not reported
- rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9
Version range not reported
- rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9
Version range not reported
- rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9
Version range not reported
- rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9
Version range not reported
- rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9
Version range not reported