CVE-2026-62997 (GCVE-0-2026-62997)
Vulnerability from cvelistv5
Published
2026-09-16 20:48
Modified
2026-09-17 14:55
Severity ?
7.7 (High) - 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
CWE
  • CWE-502 - Deserialization of Untrusted Data
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.
References
Impacted products
Vendor Product Version
kedro-org kedro-plugins Version: >= 5.0.0, < 9.5.0
 Create a notification for this product.
Show details on NVD website

To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-62997",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-09-17T14:55:10.455520Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-09-17T14:55:22.149Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "kedro-plugins",
          "vendor": "kedro-org",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 5.0.0, \u003c 9.5.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "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."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "PRESENT",
            "attackVector": "NETWORK",
            "baseScore": 7.7,
            "baseSeverity": "HIGH",
            "privilegesRequired": "NONE",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "PASSIVE",
            "vectorString": "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",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "CWE-502: Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-09-16T20:48:44.536Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq"
        },
        {
          "name": "https://github.com/kedro-org/kedro-plugins/issues/1431",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/kedro-org/kedro-plugins/issues/1431"
        },
        {
          "name": "https://github.com/kedro-org/kedro-plugins/pull/1433",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/kedro-org/kedro-plugins/pull/1433"
        },
        {
          "name": "https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413"
        },
        {
          "name": "https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0"
        }
      ],
      "source": {
        "advisory": "GHSA-f9q4-h45w-jrrq",
        "discovery": "UNKNOWN"
      },
      "title": "Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-62997",
    "datePublished": "2026-09-16T20:48:44.536Z",
    "dateReserved": "2026-07-14T23:10:57.032Z",
    "dateUpdated": "2026-09-17T14:55:22.149Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "vulnrichment": {
      "containers": "{\"cna\": {\"title\": \"Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`\", \"source\": {\"advisory\": \"GHSA-f9q4-h45w-jrrq\", \"discovery\": \"UNKNOWN\"}, \"metrics\": [{\"cvssV4_0\": {\"version\": \"4.0\", \"baseScore\": 7.7, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"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\", \"userInteraction\": \"PASSIVE\", \"attackComplexity\": \"LOW\", \"attackRequirements\": \"PRESENT\", \"privilegesRequired\": \"NONE\", \"subIntegrityImpact\": \"NONE\", \"vulnIntegrityImpact\": \"HIGH\", \"subAvailabilityImpact\": \"NONE\", \"vulnAvailabilityImpact\": \"HIGH\", \"subConfidentialityImpact\": \"NONE\", \"vulnConfidentialityImpact\": \"HIGH\"}}], \"affected\": [{\"vendor\": \"kedro-org\", \"product\": \"kedro-plugins\", \"versions\": [{\"status\": \"affected\", \"version\": \"\u003e= 5.0.0, \u003c 9.5.0\"}]}], \"references\": [{\"url\": \"https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq\", \"name\": \"https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq\", \"tags\": [\"x_refsource_CONFIRM\"]}, {\"url\": \"https://github.com/kedro-org/kedro-plugins/issues/1431\", \"name\": \"https://github.com/kedro-org/kedro-plugins/issues/1431\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/kedro-org/kedro-plugins/pull/1433\", \"name\": \"https://github.com/kedro-org/kedro-plugins/pull/1433\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413\", \"name\": \"https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0\", \"name\": \"https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0\", \"tags\": [\"x_refsource_MISC\"]}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"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.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-502\", \"description\": \"CWE-502: Deserialization of Untrusted Data\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2026-09-16T20:48:44.536Z\"}}, \"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2026-62997\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2026-09-17T14:55:10.455520Z\"}}}], \"providerMetadata\": {\"shortName\": \"CISA-ADP\", \"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"dateUpdated\": \"2026-09-17T14:55:16.491Z\"}}]}",
      "cveMetadata": "{\"cveId\": \"CVE-2026-62997\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-09-16T20:48:44.536Z\", \"dateReserved\": \"2026-07-14T23:10:57.032Z\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"datePublished\": \"2026-09-16T20:48:44.536Z\", \"assignerShortName\": \"GitHub_M\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Sightings

Author Source Type Date

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
  • Confirmed: The vulnerability is confirmed from an analyst perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
  • Patched: This vulnerability was successfully patched by the user reporting the sighting.
  • Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
  • Not confirmed: The user expresses doubt about the veracity of the vulnerability.
  • Not patched: This vulnerability was not successfully patched by the user reporting the sighting.