github - ghsa-jjw5-xxj6-pcv5

ghsa-jjw5-xxj6-pcv5

Vulnerability from github

Published

2022-05-24 17:17

Modified

2024-10-22 17:21

Severity ?

9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

scikit-learn Deserialization of Untrusted Data

Details

scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner.

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "scikit-learn"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "0.23.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2020-13092"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-04-22T22:55:41Z",
    "nvd_published_at": "2020-05-15T19:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the `joblib.load()` function, if `__reduce__` makes an `os.system call`.\nNOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user\u0027s responsibility to use the function in a secure manner.",
  "id": "GHSA-jjw5-xxj6-pcv5",
  "modified": "2024-10-22T17:21:50Z",
  "published": "2022-05-24T17:17:59Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-13092"
    },
    {
      "type": "WEB",
      "url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-107.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/scikit-learn/scikit-learn"
    },
    {
      "type": "WEB",
      "url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "scikit-learn Deserialization of Untrusted Data"
}

cve-2020-13092

Vulnerability from cvelistv5

Published

2020-05-15 18:41

Modified

2024-08-04 12:11

Severity ?

Summary

scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner

References

▼	URL	Tags
	https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md	x_refsource_MISC
	https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	n/a	n/a	Version: n/a

Show details on NVD website

JSON

To clipboard

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        "references": [
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            ],
            "url": "https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
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          "product": "n/a",
          "vendor": "n/a",
          "versions": [
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        }
      ],
      "problemTypes": [
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        "dateUpdated": "2020-05-18T11:16:54",
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      "references": [
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          "url": "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations"
        }
      ],
      "tags": [
        "disputed"
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2020-13092",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
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                "product": {
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        "problemtype": {
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  },
  "cveMetadata": {
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    "datePublished": "2020-05-15T18:41:33",
    "dateReserved": "2020-05-15T00:00:00",
    "dateUpdated": "2024-08-04T12:11:18.980Z",
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}

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.
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.

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