{
  "affected": [
    {
      "ranges": [
        {
          "database_specific": {
            "extracted_events": [
              {
                "introduced": "5.0.0"
              },
              {
                "fixed": "9.5.0"
              }
            ],
            "source": [
              "AFFECTED_FIELD",
              "REFERENCES"
            ]
          },
          "events": [
            {
              "introduced": "7b7f27c5bc036a6709690dac6f160dd09122f1ab"
            },
            {
              "fixed": "4d6deb7a7ecba483d33fd43e2a6c063bcf22f413"
            },
            {
              "fixed": "fd3f7282ab870651888ebb34676bbd59261dd569"
            }
          ],
          "repo": "https://github.com/kedro-org/kedro-plugins",
          "type": "GIT"
        }
      ]
    }
  ],
  "aliases": [
    "GHSA-f9q4-h45w-jrrq"
  ],
  "database_specific": {
    "cna_assigner": "GitHub_M",
    "cwe_ids": [
      "CWE-502"
    ],
    "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/62xxx/CVE-2026-62997.json"
  },
  "details": "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.",
  "id": "CVE-2026-62997",
  "modified": "2026-09-18T03:30:23.063839165Z",
  "published": "2026-09-16T20:48:44.536Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/62xxx/CVE-2026-62997.json"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-62997"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/kedro-org/kedro-plugins/issues/1431"
    },
    {
      "type": "FIX",
      "url": "https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413"
    },
    {
      "type": "FIX",
      "url": "https://github.com/kedro-org/kedro-plugins/pull/1433"
    }
  ],
  "schema_version": "1.9.0",
  "severity": [
    {
      "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",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`"
}