CVE-2026-62997: CWE-502: Deserialization of Untrusted Data in kedro-org kedro-plugins
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.
CVE-2026-62997: CWE-502: Deserialization of Untrusted Data in kedro-org kedro-plugins
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.
CVSS v4.0
Score 7.7high
Affected software
kedro-org
kedro-plugins
Weaknesses
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-07-14T23:10:57.032Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aab03db55bf5e2cf52731d3
Added to database: 09/16/2026, 21:02:19 UTC
Last updated: 09/16/2026, 21:02:19 UTC
Views: 1
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