Search

Find a vulnerability

Search criteria

    2 vulnerabilities by NIST

    CVE-2026-120833 (GCVE-0-2026-120833)

    Vulnerability from nvd – Published: 2026-11-03 00:13 – Updated: 2026-11-03 00:13
    VLAI
    Title
    labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch
    Summary
    labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions.
    Severity
    8.5 (High)
    CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
    7.8 (High)
    CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
    CWE
    • CWE-502 - Deserialization of Untrusted Data
    Assigner
    VulnCheck CNA under the mitre root
    CNA scorecard B 84/100 over 7402 records in the last 180 days details
    References
    Impacted products
    Vendor Product Version
    NIST labbench Affected: 0 , < 0.46.1 (custom)
    		Create a notification for this product.
    Date Public
    2026-11-02 00:00
    Credits
    Dilanka Kaushal Hewage (r3vpwnx)
    Show details on NVD website
    To clipboard 

    {
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "packageURL": "pkg:pypi/labbench",
          "product": "labbench",
          "repo": "https://github.com/usnistgov/labbench",
          "vendor": "NIST",
          "versions": [
            {
              "lessThan": "0.46.1",
              "status": "affected",
              "version": "0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "Dilanka Kaushal Hewage (r3vpwnx)"
        }
      ],
      "datePublic": "2026-11-02T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "LOCAL",
            "baseScore": 8.5,
            "baseSeverity": "HIGH",
            "privilegesRequired": "NONE",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "PASSIVE",
            "vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/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"
          },
          "format": "CVSS"
        },
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-11-03T00:13:42.998Z",
        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "shortName": "VulnCheck"
      },
      "references": [
        {
          "name": "GitHub Pull Request #32",
          "tags": [
            "patch",
            "issue-tracking"
          ],
          "url": "https://github.com/usnistgov/labbench/pull/32"
        },
        {
          "name": "Patch Commit",
          "tags": [
            "patch"
          ],
          "url": "https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54"
        },
        {
          "tags": [
            "technical-description"
          ],
          "url": "https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666"
        },
        {
          "name": "labbench ChangeLog",
          "tags": [
            "release-notes"
          ],
          "url": "https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md"
        },
        {
          "tags": [
            "product"
          ],
          "url": "https://pypi.org/project/labbench/0.46.1/"
        },
        {
          "tags": [
            "product"
          ],
          "url": "https://github.com/usnistgov/labbench"
        },
        {
          "name": "VulnCheck Advisory: labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch",
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch"
        }
      ],
      "title": "labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch",
      "x_generator": {
        "engine": "vulncheck-endgame"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
    "assignerShortName": "VulnCheck",
    "cveId": "CVE-2026-120833",
    "datePublished": "2026-11-03T00:13:42.998Z",
    "dateReserved": "2026-11-03T00:06:11.273Z",
    "dateUpdated": "2026-11-03T00:13:42.998Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

    CVE-2026-120833 (GCVE-0-2026-120833)

    Vulnerability from cvelistv5 – Published: 2026-11-03 00:13 – Updated: 2026-11-03 00:13
    VLAI
    Title
    labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch
    Summary
    labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions.
    Severity
    8.5 (High)
    CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
    7.8 (High)
    CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
    CWE
    • CWE-502 - Deserialization of Untrusted Data
    Assigner
    VulnCheck CNA under the mitre root
    CNA scorecard B 84/100 over 7402 records in the last 180 days details
    References
    Impacted products
    Vendor Product Version
    NIST labbench Affected: 0 , < 0.46.1 (custom)
    		Create a notification for this product.
    Date Public
    2026-11-02 00:00
    Credits
    Dilanka Kaushal Hewage (r3vpwnx)
    Show details on NVD website
    To clipboard 

    {
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "packageURL": "pkg:pypi/labbench",
          "product": "labbench",
          "repo": "https://github.com/usnistgov/labbench",
          "vendor": "NIST",
          "versions": [
            {
              "lessThan": "0.46.1",
              "status": "affected",
              "version": "0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "Dilanka Kaushal Hewage (r3vpwnx)"
        }
      ],
      "datePublic": "2026-11-02T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "labbench before 0.46.1 contains a deserialization of untrusted data vulnerability in read() and read_relational() that passes any file with a .p or .pickle extension to pandas.read_pickle based on the extension alone. Attackers who supply a crafted data file or relational data archive can execute arbitrary code when a user loads it with these functions."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "LOCAL",
            "baseScore": 8.5,
            "baseSeverity": "HIGH",
            "privilegesRequired": "NONE",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "PASSIVE",
            "vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/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"
          },
          "format": "CVSS"
        },
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-11-03T00:13:42.998Z",
        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "shortName": "VulnCheck"
      },
      "references": [
        {
          "name": "GitHub Pull Request #32",
          "tags": [
            "patch",
            "issue-tracking"
          ],
          "url": "https://github.com/usnistgov/labbench/pull/32"
        },
        {
          "name": "Patch Commit",
          "tags": [
            "patch"
          ],
          "url": "https://github.com/usnistgov/labbench/commit/ac9b9b18cba67cb8e85eb563b6bb7dc1092b4c54"
        },
        {
          "tags": [
            "technical-description"
          ],
          "url": "https://github.com/usnistgov/labbench/blob/0.46.0/src/labbench/_data.py#L1664-L1666"
        },
        {
          "name": "labbench ChangeLog",
          "tags": [
            "release-notes"
          ],
          "url": "https://github.com/usnistgov/labbench/blob/0.46.1/ChangeLog.md"
        },
        {
          "tags": [
            "product"
          ],
          "url": "https://pypi.org/project/labbench/0.46.1/"
        },
        {
          "tags": [
            "product"
          ],
          "url": "https://github.com/usnistgov/labbench"
        },
        {
          "name": "VulnCheck Advisory: labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch",
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://www.vulncheck.com/advisories/labbench-before-0.46.1-deserialization-of-untrusted-data-via-read-pickle-auto-dispatch"
        }
      ],
      "title": "labbench before 0.46.1 Deserialization of Untrusted Data via read() Pickle Auto-Dispatch",
      "x_generator": {
        "engine": "vulncheck-endgame"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
    "assignerShortName": "VulnCheck",
    "cveId": "CVE-2026-120833",
    "datePublished": "2026-11-03T00:13:42.998Z",
    "dateReserved": "2026-11-03T00:06:11.273Z",
    "dateUpdated": "2026-11-03T00:13:42.998Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}