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.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
Present
Additional conditions required
Privileges Required
None
No privileges needed
User Interaction
Passive
Minimal interaction
Impact Assessment
Confidentiality
High
Complete data leak
Integrity
High
Complete data modification
Availability
High
Complete denial of service
CVSS Vector v4.0
Weakness Type (CWE)
References 5
https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c0…
security-advisories@github.com
https://github.com/kedro-org/kedro-plugins/issues/1431
security-advisories@github.com
https://github.com/kedro-org/kedro-plugins/pull/1433
security-advisories@github.com
https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0
security-advisories@github.com
https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-j…
security-advisories@github.com