gsd-2022-40954
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).
Aliases
Aliases
CVE-2022-40954


To clipboard 

{
  "GSD": {
    "alias": "CVE-2022-40954",
    "id": "GSD-2022-40954"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-40954"
      ],
      "details": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).",
      "id": "GSD-2022-40954",
      "modified": "2023-12-13T01:19:30.972334Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security@apache.org",
        "ID": "CVE-2022-40954",
        "STATE": "PUBLIC",
        "TITLE": "Apache Airflow Spark Provider RCE that bypass restrictions to read arbitrary files"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "Apache Airflow Spark Provider",
                    "version": {
                      "version_data": [
                        {
                          "version_affected": "\u003c",
                          "version_value": "4.0.0"
                        }
                      ]
                    }
                  },
                  {
                    "product_name": "Apache Airflow",
                    "version": {
                      "version_data": [
                        {
                          "version_affected": "\u003c",
                          "version_value": "2.3.0"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "Apache Software Foundation"
            }
          ]
        }
      },
      "credit": [
        {
          "lang": "eng",
          "value": "Apache Airflow PMC wants to thank id_No2015429 of 3H Security Team for reporting the issue."
        }
      ],
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed)."
          }
        ]
      },
      "generator": {
        "engine": "Vulnogram 0.0.9"
      },
      "impact": [
        {
          "other": "moderate"
        }
      ],
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-78 Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/apache/airflow/pull/27646",
            "refsource": "MISC",
            "url": "https://github.com/apache/airflow/pull/27646"
          },
          {
            "name": "https://lists.apache.org/thread/0tmdlnmjs5t4gsx5fy73tb6zd3jztq45",
            "refsource": "MISC",
            "url": "https://lists.apache.org/thread/0tmdlnmjs5t4gsx5fy73tb6zd3jztq45"
          }
        ]
      },
      "source": {
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003c4.0.0",
          "affected_versions": "All versions before 4.0.0",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "cwe_ids": [
            "CWE-1035",
            "CWE-78",
            "CWE-937"
          ],
          "date": "2022-11-28",
          "description": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).",
          "fixed_versions": [
            "4.0.0"
          ],
          "identifier": "CVE-2022-40954",
          "identifiers": [
            "CVE-2022-40954"
          ],
          "not_impacted": "All versions starting from 4.0.0",
          "package_slug": "pypi/apache-airflow-providers-apache-spark",
          "pubdate": "2022-11-22",
          "solution": "Upgrade to version 4.0.0 or above.",
          "title": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2022-40954",
            "https://lists.apache.org/thread/0tmdlnmjs5t4gsx5fy73tb6zd3jztq45",
            "https://github.com/apache/airflow/pull/27646"
          ],
          "uuid": "bb26e64d-abc2-4a16-b2cb-483d30ea7329"
        },
        {
          "affected_range": "\u003c2.3.0",
          "affected_versions": "All versions before 2.3.0",
          "cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "cwe_ids": [
            "CWE-1035",
            "CWE-78",
            "CWE-937"
          ],
          "date": "2022-11-28",
          "description": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).",
          "fixed_versions": [
            "2.3.0"
          ],
          "identifier": "CVE-2022-40954",
          "identifiers": [
            "CVE-2022-40954",
            "GHSA-45r6-j3cc-6mxx"
          ],
          "not_impacted": "All versions starting from 2.3.0",
          "package_slug": "pypi/apache-airflow",
          "pubdate": "2022-11-22",
          "solution": "Upgrade to version 2.3.0 or above.",
          "title": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2022-40954",
            "https://github.com/apache/airflow/pull/27646",
            "https://lists.apache.org/thread/0tmdlnmjs5t4gsx5fy73tb6zd3jztq45",
            "https://github.com/advisories/GHSA-45r6-j3cc-6mxx"
          ],
          "uuid": "81271e89-f4da-435a-b9c5-4b89b9a19a49"
        }
      ]
    },
    "nvd.nist.gov": {
      "configurations": {
        "CVE_data_version": "4.0",
        "nodes": [
          {
            "children": [],
            "cpe_match": [
              {
                "cpe23Uri": "cpe:2.3:a:apache:airflow:*:*:*:*:*:*:*:*",
                "cpe_name": [],
                "versionEndExcluding": "2.3.0",
                "vulnerable": true
              },
              {
                "cpe23Uri": "cpe:2.3:a:apache:apache-airflow-providers-apache-spark:*:*:*:*:*:*:*:*",
                "cpe_name": [],
                "versionEndExcluding": "4.0.0",
                "vulnerable": true
              }
            ],
            "operator": "OR"
          }
        ]
      },
      "cve": {
        "CVE_data_meta": {
          "ASSIGNER": "security@apache.org",
          "ID": "CVE-2022-40954"
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "en",
              "value": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed)."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "en",
                  "value": "CWE-78"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://lists.apache.org/thread/0tmdlnmjs5t4gsx5fy73tb6zd3jztq45",
              "refsource": "MISC",
              "tags": [
                "Mailing List",
                "Vendor Advisory"
              ],
              "url": "https://lists.apache.org/thread/0tmdlnmjs5t4gsx5fy73tb6zd3jztq45"
            },
            {
              "name": "https://github.com/apache/airflow/pull/27646",
              "refsource": "MISC",
              "tags": [
                "Patch",
                "Third Party Advisory"
              ],
              "url": "https://github.com/apache/airflow/pull/27646"
            }
          ]
        }
      },
      "impact": {
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "NONE",
            "baseScore": 5.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
            "version": "3.1"
          },
          "exploitabilityScore": 1.8,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2022-11-28T17:51Z",
      "publishedDate": "2022-11-22T10:15Z"
    }
  }
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




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.