CVE-2015-1889 (GCVE-0-2015-1889)

Vulnerability from cvelistv5 – Published: 2015-04-22 10:00 – Updated: 2024-08-06 04:54
VLAI
Summary
The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via (1) a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or (2) an import of a certain Hive table definition with the HCAT_SYNC_OBJECTS procedure.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
http://www.securitytracker.com/id/1032150 vdb-entryx_refsource_SECTRACK
http://www-01.ibm.com/support/docview.wss?uid=swg… x_refsource_CONFIRM
Date Public
2015-04-13 00:00
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-06T04:54:16.414Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "name": "1032150",
            "tags": [
              "vdb-entry",
              "x_refsource_SECTRACK",
              "x_transferred"
            ],
            "url": "http://www.securitytracker.com/id/1032150"
          },
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "http://www-01.ibm.com/support/docview.wss?uid=swg21700654"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "datePublic": "2015-04-13T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via (1) a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or (2) an import of a certain Hive table definition with the HCAT_SYNC_OBJECTS procedure."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2016-12-30T16:57:01.000Z",
        "orgId": "9a959283-ebb5-44b6-b705-dcc2bbced522",
        "shortName": "ibm"
      },
      "references": [
        {
          "name": "1032150",
          "tags": [
            "vdb-entry",
            "x_refsource_SECTRACK"
          ],
          "url": "http://www.securitytracker.com/id/1032150"
        },
        {
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "http://www-01.ibm.com/support/docview.wss?uid=swg21700654"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "psirt@us.ibm.com",
          "ID": "CVE-2015-1889",
          "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": "The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via (1) a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or (2) an import of a certain Hive table definition with the HCAT_SYNC_OBJECTS procedure."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "1032150",
              "refsource": "SECTRACK",
              "url": "http://www.securitytracker.com/id/1032150"
            },
            {
              "name": "http://www-01.ibm.com/support/docview.wss?uid=swg21700654",
              "refsource": "CONFIRM",
              "url": "http://www-01.ibm.com/support/docview.wss?uid=swg21700654"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "9a959283-ebb5-44b6-b705-dcc2bbced522",
    "assignerShortName": "ibm",
    "cveId": "CVE-2015-1889",
    "datePublished": "2015-04-22T10:00:00.000Z",
    "dateReserved": "2015-02-19T00:00:00.000Z",
    "dateUpdated": "2024-08-06T04:54:16.414Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2015-1889",
      "date": "2026-10-01",
      "epss": "0.01567",
      "percentile": "0.74421"
    },
    "nvd": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:ibm:infosphere_biginsights:3.0.0.0:*:*:*:*:*:*:*",
                    "matchCriteriaId": "31342AF9-D73E-4B72-A98D-00E33A7088C1",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:ibm:infosphere_biginsights:3.0.0.1:*:*:*:*:*:*:*",
                    "matchCriteriaId": "6771B5C2-7291-4A8F-A558-679768838EAE",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:ibm:infosphere_biginsights:3.0.0.2:*:*:*:*:*:*:*",
                    "matchCriteriaId": "1875306C-CF9A-423D-9786-B880A5EAD2DB",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via (1) a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or (2) an import of a certain Hive table definition with the HCAT_SYNC_OBJECTS procedure."
          },
          {
            "lang": "es",
            "value": "El componente Big SQL en IBM InfoSphere BigInsights 3.0 hasta 3.0.0.2 permite a usuarios remotos autenticados evadir las restricciones de datos de acceso HDFS a trav\u00e9 (1) de una declaraci\u00f3n CREATE HADOOP TABLE manipulada que hace referencia a los datos de un usuario arbitrario o (2) de una importaci\u00f3n de cierta definici\u00f3n de tabla Hive con el procedimiento HCAT_SYNC_OBJECTS."
          }
        ],
        "id": "CVE-2015-1889",
        "lastModified": "2026-05-06T22:30:45.220",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "MEDIUM",
              "cvssData": {
                "accessComplexity": "LOW",
                "accessVector": "NETWORK",
                "authentication": "SINGLE",
                "availabilityImpact": "PARTIAL",
                "baseScore": 6.5,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "PARTIAL",
                "vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
                "version": "2.0"
              },
              "exploitabilityScore": 8.0,
              "impactScore": 6.4,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": false
            }
          ]
        },
        "published": "2015-04-22T10:59:01.643",
        "references": [
          {
            "source": "psirt@us.ibm.com",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "http://www-01.ibm.com/support/docview.wss?uid=swg21700654"
          },
          {
            "source": "psirt@us.ibm.com",
            "url": "http://www.securitytracker.com/id/1032150"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "http://www-01.ibm.com/support/docview.wss?uid=swg21700654"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "url": "http://www.securitytracker.com/id/1032150"
          }
        ],
        "sourceIdentifier": "psirt@us.ibm.com",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-89"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.



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.