GSD-2017-10937

Vulnerability from gsd - Updated: 2023-12-13 01:21
Details
SQL injection vulnerability in all versions prior to V2.01.05.09 of the ZTE ZXIPTV-UCM product allows remote attackers to execute arbitrary SQL commands via the opertype parameter, resulting in the disclosure of database information.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2017-10937",
    "description": "SQL injection vulnerability in all versions prior to V2.01.05.09 of the ZTE ZXIPTV-UCM product allows remote attackers to execute arbitrary SQL commands via the opertype parameter, resulting in the disclosure of database information.",
    "id": "GSD-2017-10937"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2017-10937"
      ],
      "details": "SQL injection vulnerability in all versions prior to V2.01.05.09 of the ZTE ZXIPTV-UCM product allows remote attackers to execute arbitrary SQL commands via the opertype parameter, resulting in the disclosure of database information.",
      "id": "GSD-2017-10937",
      "modified": "2023-12-13T01:21:14.894195Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "psirt@zte.com.cn",
        "DATE_PUBLIC": "2017-12-08T00:00:00",
        "ID": "CVE-2017-10937",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "ZXIPTV-UCM",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "All versions prior to V2.01.05.09"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "ZTE"
            }
          ]
        }
      },
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "SQL injection vulnerability in all versions prior to V2.01.05.09 of the ZTE ZXIPTV-UCM product allows remote attackers to execute arbitrary SQL commands via the opertype parameter, resulting in the disclosure of database information."
          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "SQL injection"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "http://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1008782",
            "refsource": "CONFIRM",
            "url": "http://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1008782"
          }
        ]
      }
    },
    "nvd.nist.gov": {
      "configurations": {
        "CVE_data_version": "4.0",
        "nodes": [
          {
            "children": [
              {
                "children": [],
                "cpe_match": [
                  {
                    "cpe23Uri": "cpe:2.3:o:zte:zxiptv-ucm_firmware:*:*:*:*:*:*:*:*",
                    "cpe_name": [],
                    "versionEndExcluding": "2.01.05.09",
                    "vulnerable": true
                  }
                ],
                "operator": "OR"
              },
              {
                "children": [],
                "cpe_match": [
                  {
                    "cpe23Uri": "cpe:2.3:h:zte:zxiptv-ucm:-:*:*:*:*:*:*:*",
                    "cpe_name": [],
                    "vulnerable": false
                  }
                ],
                "operator": "OR"
              }
            ],
            "cpe_match": [],
            "operator": "AND"
          }
        ]
      },
      "cve": {
        "CVE_data_meta": {
          "ASSIGNER": "psirt@zte.com.cn",
          "ID": "CVE-2017-10937"
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "en",
              "value": "SQL injection vulnerability in all versions prior to V2.01.05.09 of the ZTE ZXIPTV-UCM product allows remote attackers to execute arbitrary SQL commands via the opertype parameter, resulting in the disclosure of database information."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "en",
                  "value": "CWE-89"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "http://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1008782",
              "refsource": "CONFIRM",
              "tags": [
                "Vendor Advisory"
              ],
              "url": "http://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1008782"
            }
          ]
        }
      },
      "impact": {
        "baseMetricV2": {
          "cvssV2": {
            "accessComplexity": "LOW",
            "accessVector": "NETWORK",
            "authentication": "NONE",
            "availabilityImpact": "NONE",
            "baseScore": 5.0,
            "confidentialityImpact": "PARTIAL",
            "integrityImpact": "NONE",
            "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
            "version": "2.0"
          },
          "exploitabilityScore": 10.0,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
            "version": "3.0"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2018-09-20T13:58Z",
      "publishedDate": "2018-07-25T15:29Z"
    }
  }
}



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…