CVE-2026-62997
Published:September 16, 2026
Updated:October 10, 2026
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.
Affected Packages
kedro-datasets (CONDA):
Affected version(s) >=5.0.0 <9.5.0Fix Suggestion:
Update to version 9.5.0https://github.com/kedro-org/kedro-plugins.git (GITHUB):
Affected version(s) >=kedro-datasets-5.0.0 <kedro-datasets-9.5.0Fix Suggestion:
Update to version kedro-datasets-9.5.0kedro-datasets (PYTHON):
Affected version(s) >=5.0.0 <9.5.0Fix Suggestion:
Update to version 9.5.0Related Resources (7)
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Contact UsCVSS v4
Base Score:
7.7
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
PRESENT
Privileges Required
NONE
User Interaction
PASSIVE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
8.8
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH
Weakness Type (CWE)
Deserialization of Untrusted Data
EPSS
Base Score:
0.69