Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`
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.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2026-62997
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 2 Nov 2026, 22:25 UTC · Revision 1
Source evidence
Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`
core-osv · Original sourcePublished 16 Sept 2026, 20:48 UTC
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.
osv:CVE-2026-62997
Complete source record
{
"id": "6f667d43675f852818d3023f5d869d0c75da0bccf80cc4b2fb5c5014fe7aaedb",
"url": "https://osv.dev/vulnerability/CVE-2026-62997",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`",
"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.",
"evidence": "osv:CVE-2026-62997",
"products": [],
"severity": "high",
"structured": {
"id": "CVE-2026-62997",
"aliases": [
"CVE-2026-62997",
"GHSA-f9q4-h45w-jrrq"
],
"metrics": [
{
"type": "CVSS_V4",
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
}
],
"affected": [
{
"ranges": [
{
"repo": "https://github.com/kedro-org/kedro-plugins",
"type": "GIT",
"events": [
{
"introduced": "7b7f27c5bc036a6709690dac6f160dd09122f1ab"
},
{
"fixed": "fd3f7282ab870651888ebb34676bbd59261dd569"
},
{
"fixed": "4d6deb7a7ecba483d33fd43e2a6c063bcf22f413"
}
],
"database_specific": {
"extracted_events": [
{
"range": [
{
"introduced": "5.0.0"
},
{
"fixed": "9.5.0"
}
],
"source": "AFFECTED_FIELD",
"strategy": "StringRangeExpression"
},
{
"range": [
{
"fixed": "4d6deb7a7ecba483d33fd43e2a6c063bcf22f413"
}
],
"source": "REFERENCES_COMMIT"
},
{
"range": [
{
"fixed": "fd3f7282ab870651888ebb34676bbd59261dd569"
}
],
"source": "REFERENCES_TAG",
"original_tag": "kedro-datasets-9.5.0"
}
]
}
}
],
"versions": [
"kedro-datasets-9.4.0",
"kedro-telemetry-0.8.0",
"kedro-datasets-9.3.0",
"kedro-datasets-9.2.0",
"kedro-datasets-9.1.1",
"kedro-datasets-9.1.0",
"kedro-telemetry-0.7.0",
"kedro-datasets-9.0.0",
"kedro-telemetry-0.6.5",
"kedro-datasets-8.1.0",
"kedro-telemetry-0.6.4",
"kedro-datasets-8.0.0",
"kedro-airflow-0.10.0",
"kedro-telemetry-0.6.3",
"kedro-datasets-7.0.0",
"kedro-datasets-6.0.0",
"kedro-docker-0.6.2",
"kedro-telemetry-0.6.2",
"kedro-airflow-0.9.2",
"kedro-datasets-5.1.0",
"kedro-datasets-5.0.0"
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-62997.json"
}
}
],
"modified": "2026-10-28T02:30:24.138635852Z",
"provider": "osv",
"references": [
"https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0",
"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/62xxx/CVE-2026-62997.json",
"https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq",
"https://nvd.nist.gov/vuln/detail/CVE-2026-62997",
"https://github.com/kedro-org/kedro-plugins/issues/1431",
"https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413",
"https://github.com/kedro-org/kedro-plugins/pull/1433"
],
"provider_metadata": {
"cwe_ids": [
"CWE-502"
],
"cna_assigner": "GitHub_M",
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/62xxx/CVE-2026-62997.json"
}
},
"related_cves": [
{
"value": "CVE-2026-62997",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 490547,
"published_at": "2026-09-16T20:48:44.536+00:00"
}