Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- Passive
- Attack complexity
- Low
- Attack requirements
- Present
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 4.0 · CNA. Fix status from CNA. Impact type from CWE-502.
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.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- None
- Automatable
- No
- Technical impact
- Total
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
Remediation
- Fix · CNA kedro-plugins (kedro-org) Fixed in 9.5.0
Timeline
- 2026-10-02 Threatist record created from CVE-2026-62997
References
Other 5
- 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
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Sources
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences