github - ghsa-59hw-j9g6-mfg3

ghsa-59hw-j9g6-mfg3

Vulnerability from github

Published

2023-05-02 09:30

Modified

2024-11-19 20:11

Severity ?

8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
8.7 (High) - CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:N

Summary

Apache Spark UI vulnerable to Command Injection

Details

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This issue was disclosed earlier as CVE-2022-33891, but incorrectly claimed version 3.1.3 (which has since gone EOL) would not be affected.

NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

Users are recommended to upgrade to a supported version of Apache Spark, such as version 3.4.0.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.apache.spark:spark-parent_2.12"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.1.1"
            },
            {
              "fixed": "3.2.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pyspark"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.1.1"
            },
            {
              "fixed": "3.2.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-32007"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-77"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-05-02T16:51:05Z",
    "nvd_published_at": "2023-05-02T09:15:10Z",
    "severity": "HIGH"
  },
  "details": "The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This issue was disclosed earlier as CVE-2022-33891, but incorrectly claimed version 3.1.3 (which has since gone EOL) would not be affected.\n\nNOTE: This vulnerability only affects products that are no longer supported by the maintainer.\n\nUsers are recommended to upgrade to a supported version of Apache Spark, such as version 3.4.0.\n\n\n",
  "id": "GHSA-59hw-j9g6-mfg3",
  "modified": "2024-11-19T20:11:00Z",
  "published": "2023-05-02T09:30:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32007"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/apache/spark"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2023-72.yaml"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/poxgnxhhnzz735kr1wos366l5vdbb0nv"
    },
    {
      "type": "WEB",
      "url": "https://spark.apache.org/security.html"
    },
    {
      "type": "WEB",
      "url": "https://www.cve.org/CVERecord?id=CVE-2022-33891"
    },
    {
      "type": "WEB",
      "url": "https://www.openwall.com/lists/oss-security/2023/05/02/1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Apache Spark UI vulnerable to Command Injection"
}

cve-2023-32007

Vulnerability from cvelistv5

Published

2023-05-02 08:37

Modified

2024-10-15 18:08

Severity ?

Summary

Apache Spark: Shell command injection via Spark UI

References

▼	URL	Tags
	https://www.cve.org/CVERecord?id=CVE-2022-33891	related
	https://spark.apache.org/security.html	vendor-advisory
	https://lists.apache.org/thread/poxgnxhhnzz735kr1wos366l5vdbb0nv	vendor-advisory
	http://www.openwall.com/lists/oss-security/2023/05/02/1

Impacted products

▼	Vendor	Product
	Apache Software Foundation	Apache Spark

Show details on NVD website

JSON

To clipboard

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        "affected": [
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            "cpes": [
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                "status": "affected",
                "version": "3.1.1",
                "versionType": "custom"
              }
            ]
          }
        ],
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 8.8,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "LOW",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
              "version": "3.1"
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                "role": "CISA Coordinator",
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        },
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      }
    ],
    "cna": {
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      "credits": [
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      "source": {
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      "title": "Apache Spark: Shell command injection via Spark UI",
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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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