Vulnerability-Lookup

GSD-2020-13091

Vulnerability from gsd - Updated: 2023-12-13 01:21

Details

** DISPUTED ** pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner.

Aliases

CVE-2020-13091

Aliases

CVE-2020-13091

JSON

To clipboard

{
  "GSD": {
    "alias": "CVE-2020-13091",
    "description": "** DISPUTED ** pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the user\u0027s responsibility to use the function in a secure manner.",
    "id": "GSD-2020-13091",
    "references": [
      "https://www.suse.com/security/cve/CVE-2020-13091.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
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      ],
      "details": "** DISPUTED ** pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the user\u0027s responsibility to use the function in a secure manner.",
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      "modified": "2023-12-13T01:21:46.743331Z",
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    }
  },
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            "name": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md",
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    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003c=1.0.3",
          "affected_versions": "All versions up to 1.0.3",
          "cvss_v2": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "cwe_ids": [
            "CWE-1035",
            "CWE-502",
            "CWE-937"
          ],
          "date": "2020-05-19",
          "description": "pandas can unserialize and execute commands from an untrusted file that is passed to the `read_pickle()` function, if `__reduce__` makes an `os.system` call.",
          "fixed_versions": [],
          "identifier": "CVE-2020-13091",
          "identifiers": [
            "CVE-2020-13091"
          ],
          "not_impacted": "",
          "package_slug": "pypi/pandas",
          "pubdate": "2020-05-15",
          "solution": "Unfortunately, there is no solution available yet.",
          "title": "Deserialization of Untrusted Data",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2020-13091"
          ],
          "uuid": "6867a66c-e748-4212-b226-f38981bdd5ad"
        }
      ]
    },
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                    "matchCriteriaId": "AA2BE19D-27FF-4D35-AD2C-45FB556BE272",
                    "versionEndIncluding": "1.0.3",
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                  }
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          {
            "lang": "en",
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          },
          {
            "lang": "es",
            "value": "** EN DISPUTA ** pandas versiones hasta 1.0.3, puede deserializar y ejecutar comandos desde un archivo no confiable que es pasado en la funci\u00f3n read_pickle(), si __reduce__ realiza una llamada os.system.NOTA: terceros disputan este problema porque la funci\u00f3n read_pickle () est\u00e1 documentada como insegura y es responsabilidad del usuario usar la funci\u00f3n de manera segura."
          }
        ],
        "id": "CVE-2020-13091",
        "lastModified": "2024-04-11T01:06:54.150",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "HIGH",
              "cvssData": {
                "accessComplexity": "LOW",
                "accessVector": "NETWORK",
                "authentication": "NONE",
                "availabilityImpact": "PARTIAL",
                "baseScore": 7.5,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "PARTIAL",
                "vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
                "version": "2.0"
              },
              "exploitabilityScore": 10.0,
              "impactScore": 6.4,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": false
            }
          ],
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 9.8,
                "baseSeverity": "CRITICAL",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
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              "impactScore": 5.9,
              "source": "nvd@nist.gov",
              "type": "Primary"
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        },
        "published": "2020-05-15T19:15:12.167",
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            "tags": [
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          },
          {
            "source": "cve@mitre.org",
            "tags": [
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            "url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
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              {
                "lang": "en",
                "value": "CWE-502"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    }
  }
}

CVE-2020-13091 (GCVE-0-2020-13091)

Vulnerability from cvelistv5 – Published: 2020-05-15 18:41 – Updated: 2024-08-04 12:11 Disputed

Summary

pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root Scorecard

References

2 references

URL	Tags
https://github.com/0FuzzingQ/vuln/blob/master/pan…	x_refsource_MISC
https://pandas.pydata.org/pandas-docs/stable/refe…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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            "url": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md"
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            "tags": [
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            ],
            "url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html"
          }
        ],
        "title": "CVE Program Container"
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          "url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html"
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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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Action not permitted

GSD-2020-13091

CVE-2020-13091 (GCVE-0-2020-13091)

Tags

Sightings

Nomenclature

Related by attack behaviour