kedro-org kedro-plugins up to 9.4.x kedro_datasets_experimental kedro_datasets_experimental.pytorch torch.load load_args deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $0-$5k | 0.00 |
Summary
A vulnerability was found in kedro-org kedro-plugins up to 9.4.x. It has been classified as critical. This vulnerability affects the function torch.load of the file kedro_datasets_experimental.pytorch of the component kedro_datasets_experimental. The manipulation of the argument load_args leads to deserialization.
This vulnerability is referenced as CVE-2026-62997. Remote exploitation of the attack is possible. No exploit is available.
Upgrading the affected component is recommended.
Details
A vulnerability, which was classified as critical, has been found in kedro-org kedro-plugins up to 9.4.x. This issue affects the function torch.load of the file kedro_datasets_experimental.pytorch of the component kedro_datasets_experimental. The manipulation of the argument load_args with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
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.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-62997 since 07/15/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
Upgrading to version 9.5.0 eliminates this vulnerability.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: kedro-plugins 9.5.0
Timeline
07/15/2026 CVE reserved09/16/2026 Advisory disclosed
09/16/2026 VulDB entry created
09/16/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-62997 (🔒)
GCVE (CVE): GCVE-0-2026-62997
GCVE (VulDB): GCVE-100-406145
Entry
Created: 09/16/2026 23:05Changes: 09/16/2026 23:05 (70)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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