CVE-2018-17404 (GCVE-0-2018-17404)

Vulnerability from cvelistv5 – Published: 2018-09-23 22:00 – Updated: 2024-08-05 10:47
VLAI
Summary
The SBIbuddy (aka com.sbi.erupee) application 1.41 and 1.42 for Android might allow an attacker to sniff private information such as mobile number, PAN number (from a government-issued ID), and date of birth.
CWE
  • n/a
Assigner
mitre CNA under the mitre root
CNA scorecard E 27/100 over 2387 records in the last 180 days details
References
Date Public
2018-09-23 00:00
Show details on NVD website

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T10:47:04.435Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "datePublic": "2018-09-23T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "The SBIbuddy (aka com.sbi.erupee) application 1.41 and 1.42 for Android might allow an attacker to sniff private information such as mobile number, PAN number (from a government-issued ID), and date of birth."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2018-09-27T18:57:01.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2018-17404",
          "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 SBIbuddy (aka com.sbi.erupee) application 1.41 and 1.42 for Android might allow an attacker to sniff private information such as mobile number, PAN number (from a government-issued ID), and date of birth."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf",
              "refsource": "MISC",
              "url": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2018-17404",
    "datePublished": "2018-09-23T22:00:00.000Z",
    "dateReserved": "2018-09-23T00:00:00.000Z",
    "dateUpdated": "2024-08-05T10:47:04.435Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2018-17404",
      "date": "2026-10-09",
      "epss": "0.00938",
      "percentile": "0.59728"
    },
    "fkie_nvd": {
      "configurations": [
        {
          "nodes": [
            {
              "cpeMatch": [
                {
                  "criteria": "cpe:2.3:a:sbi:sbi_buddy:1.41:*:*:*:*:android:*:*",
                  "matchCriteriaId": "83C7EB7C-45B4-4169-9981-703E24C3E234",
                  "vulnerable": true
                },
                {
                  "criteria": "cpe:2.3:a:sbi:sbi_buddy:1.42:*:*:*:*:android:*:*",
                  "matchCriteriaId": "A5A4C9EC-BEB0-4972-9CB3-4AFEDDB0C186",
                  "vulnerable": true
                }
              ],
              "negate": false,
              "operator": "OR"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "The SBIbuddy (aka com.sbi.erupee) application 1.41 and 1.42 for Android might allow an attacker to sniff private information such as mobile number, PAN number (from a government-issued ID), and date of birth."
        },
        {
          "lang": "es",
          "value": "La aplicaci\u00f3n SBIbuddy (tambi\u00e9n se conoce como com.sbi.erupee) versiones 1.41 y 1.42 para Android, podr\u00eda permitir a un atacante espiar informaci\u00f3n privada como el n\u00famero de tel\u00e9fono m\u00f3vil, el n\u00famero PAN (de una identificaci\u00f3n emitida por el gobierno) y la fecha de nacimiento."
        }
      ],
      "id": "CVE-2018-17404",
      "lastModified": "2024-11-21T03:54:20.730",
      "metrics": {
        "cvssMetricV2": [
          {
            "acInsufInfo": false,
            "baseSeverity": "LOW",
            "cvssData": {
              "accessComplexity": "HIGH",
              "accessVector": "NETWORK",
              "authentication": "NONE",
              "availabilityImpact": "NONE",
              "baseScore": 2.6,
              "confidentialityImpact": "PARTIAL",
              "integrityImpact": "NONE",
              "vectorString": "AV:N/AC:H/Au:N/C:P/I:N/A:N",
              "version": "2.0"
            },
            "exploitabilityScore": 4.9,
            "impactScore": 2.9,
            "obtainAllPrivilege": false,
            "obtainOtherPrivilege": false,
            "obtainUserPrivilege": false,
            "source": "nvd@nist.gov",
            "type": "Primary",
            "userInteractionRequired": true
          }
        ],
        "cvssMetricV30": [
          {
            "cvssData": {
              "attackComplexity": "HIGH",
              "attackVector": "NETWORK",
              "availabilityImpact": "NONE",
              "baseScore": 5.3,
              "baseSeverity": "MEDIUM",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "REQUIRED",
              "vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N",
              "version": "3.0"
            },
            "exploitabilityScore": 1.6,
            "impactScore": 3.6,
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      },
      "published": "2018-09-23T22:29:00.967",
      "references": [
        {
          "source": "cve@mitre.org",
          "tags": [
            "Exploit",
            "Third Party Advisory"
          ],
          "url": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf"
        },
        {
          "source": "af854a3a-2127-422b-91ae-364da2661108",
          "tags": [
            "Exploit",
            "Third Party Advisory"
          ],
          "url": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf"
        }
      ],
      "sourceIdentifier": "cve@mitre.org",
      "vulnStatus": "Modified",
      "weaknesses": [
        {
          "description": [
            {
              "lang": "en",
              "value": "CWE-200"
            }
          ],
          "source": "nvd@nist.gov",
          "type": "Primary"
        }
      ]
    },
    "nvd": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:sbi:sbi_buddy:1.41:*:*:*:*:android:*:*",
                    "matchCriteriaId": "83C7EB7C-45B4-4169-9981-703E24C3E234",
                    "vulnerable": true
                  },
                  {
                    "criteria": "cpe:2.3:a:sbi:sbi_buddy:1.42:*:*:*:*:android:*:*",
                    "matchCriteriaId": "A5A4C9EC-BEB0-4972-9CB3-4AFEDDB0C186",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "The SBIbuddy (aka com.sbi.erupee) application 1.41 and 1.42 for Android might allow an attacker to sniff private information such as mobile number, PAN number (from a government-issued ID), and date of birth."
          },
          {
            "lang": "es",
            "value": "La aplicaci\u00f3n SBIbuddy (tambi\u00e9n se conoce como com.sbi.erupee) versiones 1.41 y 1.42 para Android, podr\u00eda permitir a un atacante espiar informaci\u00f3n privada como el n\u00famero de tel\u00e9fono m\u00f3vil, el n\u00famero PAN (de una identificaci\u00f3n emitida por el gobierno) y la fecha de nacimiento."
          }
        ],
        "id": "CVE-2018-17404",
        "lastModified": "2024-11-21T03:54:20.730",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "LOW",
              "cvssData": {
                "accessComplexity": "HIGH",
                "accessVector": "NETWORK",
                "authentication": "NONE",
                "availabilityImpact": "NONE",
                "baseScore": 2.6,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "NONE",
                "vectorString": "AV:N/AC:H/Au:N/C:P/I:N/A:N",
                "version": "2.0"
              },
              "exploitabilityScore": 4.9,
              "impactScore": 2.9,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": true
            }
          ],
          "cvssMetricV30": [
            {
              "cvssData": {
                "attackComplexity": "HIGH",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 5.3,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "REQUIRED",
                "vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N",
                "version": "3.0"
              },
              "exploitabilityScore": 1.6,
              "impactScore": 3.6,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2018-09-23T22:29:00.967",
        "references": [
          {
            "source": "cve@mitre.org",
            "tags": [
              "Exploit",
              "Third Party Advisory"
            ],
            "url": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Exploit",
              "Third Party Advisory"
            ],
            "url": "https://github.com/magicj3lly/appexploits/blob/master/SBI_PrivacyViolation.pdf"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-200"
              }
            ],
            "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…

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…