Vulnerability-Lookup

CNVD-2020-33500

Vulnerability from cnvd - Published: 2020-06-18

Title

pandas代码问题漏洞

Description

pandas是一款基于Python语言的开源数据分析和处理工具。 pandas 1.0.3及之前版本中存在代码问题漏洞，攻击者可利用该漏洞执行命令。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://pandas.pydata.org/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-13091

Impacted products

Name
pandas pandas <=1.0.3

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-13091"
    }
  },
  "description": "pandas\u662f\u4e00\u6b3e\u57fa\u4e8ePython\u8bed\u8a00\u7684\u5f00\u6e90\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5de5\u5177\u3002\n\npandas 1.0.3\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u547d\u4ee4\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://pandas.pydata.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-33500",
  "openTime": "2020-06-18",
  "products": {
    "product": "pandas pandas \u003c=1.0.3"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-13091",
  "serverity": "\u9ad8",
  "submitTime": "2020-05-18",
  "title": "pandas\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e"
}

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

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T12:11:19.086Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "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"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2020-05-18T11:16:52.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html"
        }
      ],
      "tags": [
        "disputed"
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2020-13091",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "** 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."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md",
              "refsource": "MISC",
              "url": "https://github.com/0FuzzingQ/vuln/blob/master/pandas%20unserialize.md"
            },
            {
              "name": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html",
              "refsource": "MISC",
              "url": "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_pickle.html"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2020-13091",
    "datePublished": "2020-05-15T18:41:48.000Z",
    "dateReserved": "2020-05-15T00:00:00.000Z",
    "dateUpdated": "2024-08-04T12:11:19.086Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

CNVD-2020-33500

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

Tags

Sightings

Nomenclature

Related by attack behaviour