github - GHSA-8rhc-48pp-52gr

GHSA-8rhc-48pp-52gr

Vulnerability from github

Published

2018-11-09 17:43

Modified

2024-11-26 18:49

Severity ?

7.8 (High) - CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
8.5 (High) - CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Summary

Apache Spark Deserialization of Untrusted Data vulnerability

Details

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.1.2, 2.2.0 or later.

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.apache.spark:spark-core_2.11"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.apache.spark:spark-core_2.10"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pyspark"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2017-12612"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2020-06-16T21:26:38Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.1.2, 2.2.0 or later.",
  "id": "GHSA-8rhc-48pp-52gr",
  "modified": "2024-11-26T18:49:56Z",
  "published": "2018-11-09T17:43:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-12612"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2017-147.yaml"
    },
    {
      "type": "WEB",
      "url": "https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Apache Spark Deserialization of Untrusted Data vulnerability"
}

cve-2017-12612

Vulnerability from cvelistv5

Published

2017-09-13 16:00

Modified

2024-08-05 18:43

Severity ?

Summary

References

▼	URL	Tags
	http://www.securityfocus.com/bid/100823	vdb-entry, x_refsource_BID
	https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E	x_refsource_MISC

Impacted products

Vendor

Product

Version

▼

n/a

Version: n/a

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T18:43:56.253Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "name": "100823",
            "tags": [
              "vdb-entry",
              "x_refsource_BID",
              "x_transferred"
            ],
            "url": "http://www.securityfocus.com/bid/100823"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "datePublic": "2017-09-08T00:00:00",
      "descriptions": [
        {
          "lang": "en",
          "value": "In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2017-09-15T09:57:01",
        "orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
        "shortName": "apache"
      },
      "references": [
        {
          "name": "100823",
          "tags": [
            "vdb-entry",
            "x_refsource_BID"
          ],
          "url": "http://www.securityfocus.com/bid/100823"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "security@apache.org",
          "ID": "CVE-2017-12612",
          "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": "In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "100823",
              "refsource": "BID",
              "url": "http://www.securityfocus.com/bid/100823"
            },
            {
              "name": "https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E",
              "refsource": "MISC",
              "url": "https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
    "assignerShortName": "apache",
    "cveId": "CVE-2017-12612",
    "datePublished": "2017-09-13T16:00:00",
    "dateReserved": "2017-08-07T00:00:00",
    "dateUpdated": "2024-08-05T18:43:56.253Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

pysec-2017-147

Vulnerability from pysec

Published

2017-09-13 16:29

Modified

2024-11-25 18:35

Severity ?

7.8 (High) - CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Details

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pyspark",
        "purl": "pkg:pypi/pyspark"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.1.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2017-12612",
    "GHSA-8rhc-48pp-52gr"
  ],
  "details": "In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later.",
  "id": "PYSEC-2017-147",
  "modified": "2024-11-25T18:35:18.357593Z",
  "published": "2017-09-13T16:29:00Z",
  "references": [
    {
      "type": "ARTICLE",
      "url": "https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E"
    },
    {
      "type": "ADVISORY",
      "url": "https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/100823"
    },
    {
      "type": "ADVISORY",
      "url": "http://www.securityfocus.com/bid/100823"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

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.

Action not permitted

GHSA-8rhc-48pp-52gr

Vulnerability from github

cve-2017-12612

Vulnerability from cvelistv5

pysec-2017-147

Vulnerability from pysec

Tags

Sightings

Nomenclature