Vulnerability Description
Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedro_datasets_experimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without enforcing weights_only=True, and user-supplied load_args are silently dropped. On PyTorch versions earlier than 2.6, a malicious pickle-backed model from an attacker-influenced shared registry, downloaded checkpoint, or partitioned external source can execute arbitrary code when a Kedro pipeline loads it. The issue affects only the opt-in kedro_datasets_experimental component and does not affect users who load only trusted files. This issue is fixed in version 9.5.0.
Related Weaknesses (CWE)
References
- https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c06
- https://github.com/kedro-org/kedro-plugins/issues/1431
- https://github.com/kedro-org/kedro-plugins/pull/1433
- https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0
- https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jr
FAQ
What is CVE-2026-62997?
CVE-2026-62997 is a documented vulnerability. Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedro_datasets_experimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without en...
How severe is CVE-2026-62997?
CVSS scoring is not yet available for CVE-2026-62997. Check NVD for updates.
Is there a patch for CVE-2026-62997?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.