CVE-2019-10099 (GCVE-0-2019-10099)

Vulnerability from cvelistv5 – Published: 2019-08-07 16:18 – Updated: 2024-08-04 22:10
VLAI
Summary
Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.
CWE
  • Unencrypted data
References
Impacted products
Vendor Product Version CPE status
Apache Apache Spark Affected: 2.3.2 and below
guessed Create a notification for this product.
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T22:10:09.549Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e%40%3Cuser.spark.apache.org%3E"
          },
          {
            "name": "[spark-issues] 20200318 [jira] [Commented] (SPARK-28626) Spark leaves unencrypted data on local disk, even with encryption turned on (CVE-2019-10099)",
            "tags": [
              "mailing-list",
              "x_refsource_MLIST",
              "x_transferred"
            ],
            "url": "https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2%40%3Cissues.spark.apache.org%3E"
          },
          {
            "name": "[spark-commits] 20200622 [spark-website] branch asf-site updated: CVE-2020-9480 details (#275)",
            "tags": [
              "mailing-list",
              "x_refsource_MLIST",
              "x_transferred"
            ],
            "url": "https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae%40%3Ccommits.spark.apache.org%3E"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Apache Spark",
          "vendor": "Apache",
          "versions": [
            {
              "status": "affected",
              "version": "2.3.2 and below"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "Unencrypted data",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2020-06-22T23:06:18.000Z",
        "orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
        "shortName": "apache"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e%40%3Cuser.spark.apache.org%3E"
        },
        {
          "name": "[spark-issues] 20200318 [jira] [Commented] (SPARK-28626) Spark leaves unencrypted data on local disk, even with encryption turned on (CVE-2019-10099)",
          "tags": [
            "mailing-list",
            "x_refsource_MLIST"
          ],
          "url": "https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2%40%3Cissues.spark.apache.org%3E"
        },
        {
          "name": "[spark-commits] 20200622 [spark-website] branch asf-site updated: CVE-2020-9480 details (#275)",
          "tags": [
            "mailing-list",
            "x_refsource_MLIST"
          ],
          "url": "https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae%40%3Ccommits.spark.apache.org%3E"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "security@apache.org",
          "ID": "CVE-2019-10099",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "Apache Spark",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "2.3.2 and below"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "Apache"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "Unencrypted data"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E",
              "refsource": "MISC",
              "url": "https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E"
            },
            {
              "name": "[spark-issues] 20200318 [jira] [Commented] (SPARK-28626) Spark leaves unencrypted data on local disk, even with encryption turned on (CVE-2019-10099)",
              "refsource": "MLIST",
              "url": "https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2@%3Cissues.spark.apache.org%3E"
            },
            {
              "name": "[spark-commits] 20200622 [spark-website] branch asf-site updated: CVE-2020-9480 details (#275)",
              "refsource": "MLIST",
              "url": "https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae@%3Ccommits.spark.apache.org%3E"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
    "assignerShortName": "apache",
    "cveId": "CVE-2019-10099",
    "datePublished": "2019-08-07T16:18:46.000Z",
    "dateReserved": "2019-03-26T00:00:00.000Z",
    "dateUpdated": "2024-08-04T22:10:09.549Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2019-10099",
      "date": "2026-09-21",
      "epss": "0.01302",
      "percentile": "0.68747"
    },
    "nvd": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "348D0E20-6B63-4516-B1A8-46FEE778E07E",
                    "versionEndIncluding": "1.6.3",
                    "versionStartIncluding": "1.0.2",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "DFB8C81A-DF11-4616-83C3-67B49BFD5C86",
                    "versionEndIncluding": "2.0.2",
                    "versionStartIncluding": "2.0.0",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "EF05757C-1031-4F5E-A70E-EDF8ECEBCB86",
                    "versionEndIncluding": "2.1.3",
                    "versionStartIncluding": "2.1.0",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "D25D5D98-C601-4976-93BC-DEC6CD067CDC",
                    "versionEndIncluding": "2.2.2",
                    "versionStartIncluding": "2.2.0",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "674CFE0D-8FEE-4757-A007-1BEEABB517C7",
                    "versionEndExcluding": "2.3.2",
                    "versionStartIncluding": "2.3.0",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs."
          },
          {
            "lang": "es",
            "value": "Spark anterior a versi\u00f3n 2.3.3, en ciertas situaciones, Spark escribir\u00eda los datos de usuario en el disco local sin cifrar, incluso si spark.io.encryption.enabled=true. Esto incluye los bloques almacenados en cach\u00e9 que son tra\u00eddos al disco (controlados por spark.maxRemoteBlockSizeFetchToMem); en SparkR, usando parallelize; en Pyspark, usando broadcast y parallelize; y el uso de udfs de python."
          }
        ],
        "id": "CVE-2019-10099",
        "lastModified": "2024-11-21T04:18:24.237",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "MEDIUM",
              "cvssData": {
                "accessComplexity": "MEDIUM",
                "accessVector": "NETWORK",
                "authentication": "NONE",
                "availabilityImpact": "NONE",
                "baseScore": 4.3,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "NONE",
                "vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
                "version": "2.0"
              },
              "exploitabilityScore": 8.6,
              "impactScore": 2.9,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": false
            }
          ],
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 7.5,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 3.6,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2019-08-07T17:15:12.073",
        "references": [
          {
            "source": "security@apache.org",
            "url": "https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e%40%3Cuser.spark.apache.org%3E"
          },
          {
            "source": "security@apache.org",
            "url": "https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae%40%3Ccommits.spark.apache.org%3E"
          },
          {
            "source": "security@apache.org",
            "url": "https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2%40%3Cissues.spark.apache.org%3E"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "url": "https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e%40%3Cuser.spark.apache.org%3E"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "url": "https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae%40%3Ccommits.spark.apache.org%3E"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "url": "https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2%40%3Cissues.spark.apache.org%3E"
          }
        ],
        "sourceIdentifier": "security@apache.org",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-312"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…