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CVE-2026-62997NVD
Vulnerability Summary
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.
CVSS v4.0 Base Metrics — Score 7.7 (HIGH)
Attack VectorNetwork
Attack ComplexityLow
Attack RequirementsPresent
Privileges RequiredNone
User InteractionPassive
Confidentiality (Vulnerable System)High
Integrity (Vulnerable System)High
Availability (Vulnerable System)High
Confidentiality (Subsequent System)None
Integrity (Subsequent System)None
Availability (Subsequent System)None
Affected & Patched Versions
- kedro-org kedro-plugins >= >= 5.0.0, < 9.5.0
Not provided by cveorg for this CVE.
External References
- https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq
- 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/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413
- https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0