Vulnerability-Lookup

BDU:2021-02996 (CVE-2019-13603)

Vulnerability from fstec – Published: 2021-06-15 – Updated: 2021-06-15 – View on bdu.fstec.ru Exploit publicly available No remediation information

Title

Уязвимость драйвера Windows Biometric Framework (WBF) микропрограммного обеспечения USB-считывателя отпечатков пальцев HID DigitalPersona U.are.U 4500 Reader, позволяющая нарушителю получить несанкционированный доступ к защищаемой информации

Summary

Уязвимость драйвера Windows Biometric Framework (WBF) микропрограммного обеспечения USB-считывателя отпечатков пальцев HID DigitalPersona U.are.U 4500 Reader связана с ошибками криптографических преобразований. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, получить несанкционированный доступ к защищаемой информации

Severity

4.3 (Medium) CVSS 2.0


                      
                        AV:N/AC:M/Au:N/C:P/I:N/A:N

5.9 (Medium) CVSS 3.0


                      
                        CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N

Class

Code vulnerability

Status

Potential vulnerability

Exploitation

Information gathering

Incidents

Being clarified

Remediation

Organisational measures

CWE

CWE-310 - Проблемы использования криптографии

Aliases

CVE-2019-13603

References

5 references

URL
https://github.com/sungjungk/fp-scanner-hacking
https://www.youtube.com/watch?v=Grirez2xeas
https://www.youtube.com/watch?v=wEXJDyEOatM
https://nvd.nist.gov/vuln/detail/CVE-2019-13603
https://cxsecurity.com/cveshow/CVE-2019-13603/

Impacted products

1 product from 1 vendor

Vendors

HID Global Corporation

Products

HID DigitalPersona U.are.U 4500 Reader

Versions

5.0.0.5 (HID DigitalPersona U.are.U 4500 Reader)

Product types

Firmware

Mitigations

Ограничить использование программного средства

JSON

To clipboard

{
  "CVSS 2.0": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
  "CVSS 3.0": "AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
  "CVSS 4.0": null,
  "remediation_\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440": null,
  "remediation_\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435": null,
  "\u0412\u0435\u043d\u0434\u043e\u0440 \u041f\u041e": "HID Global Corporation",
  "\u0412\u0435\u0440\u0441\u0438\u044f \u041f\u041e": "5.0.0.5 (HID DigitalPersona U.are.U 4500 Reader)",
  "\u0412\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u043c\u0435\u0440\u044b \u043f\u043e \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044e": "\u041e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0442\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430",
  "\u0414\u0430\u0442\u0430 \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f": "23.03.2019",
  "\u0414\u0430\u0442\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0433\u043e \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f": "15.06.2021",
  "\u0414\u0430\u0442\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438": "15.06.2021",
  "\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440": "BDU:2021-02996",
  "\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440\u044b \u0434\u0440\u0443\u0433\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0439 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "CVE-2019-13603",
  "\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u0438": "\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u0438 \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u0435\u0442",
  "\u041a\u043b\u0430\u0441\u0441 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u043a\u043e\u0434\u0430",
  "\u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u041f\u041e": "HID DigitalPersona U.are.U 4500 Reader",
  "\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u041e\u0421 \u0438 \u0442\u0438\u043f \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b": null,
  "\u041d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0434\u0440\u0430\u0439\u0432\u0435\u0440\u0430 Windows Biometric Framework (WBF) \u043c\u0438\u043a\u0440\u043e\u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f USB-\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u0435\u043b\u044f \u043e\u0442\u043f\u0435\u0447\u0430\u0442\u043a\u043e\u0432 \u043f\u0430\u043b\u044c\u0446\u0435\u0432 HID DigitalPersona U.are.U 4500 Reader, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0430\u044f \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u043d\u0435\u0441\u0430\u043d\u043a\u0446\u0438\u043e\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u0437\u0430\u0449\u0438\u0449\u0430\u0435\u043c\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438",
  "\u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u044d\u043a\u0441\u043f\u043b\u043e\u0439\u0442\u0430": "\u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u0432 \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0435",
  "\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "\u041f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043a\u0440\u0438\u043f\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0438 (CWE-310)",
  "\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0423\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c \u0434\u0440\u0430\u0439\u0432\u0435\u0440\u0430 Windows Biometric Framework (WBF) \u043c\u0438\u043a\u0440\u043e\u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f USB-\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u0435\u043b\u044f \u043e\u0442\u043f\u0435\u0447\u0430\u0442\u043a\u043e\u0432 \u043f\u0430\u043b\u044c\u0446\u0435\u0432 HID DigitalPersona U.are.U 4500 Reader \u0441\u0432\u044f\u0437\u0430\u043d\u0430 \u0441 \u043e\u0448\u0438\u0431\u043a\u0430\u043c\u0438 \u043a\u0440\u0438\u043f\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0439. \u042d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u044f \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u0442\u044c \u043d\u0430\u0440\u0443\u0448\u0438\u0442\u0435\u043b\u044e, \u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u043c\u0443 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e, \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u043d\u0435\u0441\u0430\u043d\u043a\u0446\u0438\u043e\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u0437\u0430\u0449\u0438\u0449\u0430\u0435\u043c\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438",
  "\u041f\u043e\u0441\u043b\u0435\u0434\u0441\u0442\u0432\u0438\u044f \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": null,
  "\u041f\u0440\u043e\u0447\u0430\u044f \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f": null,
  "\u0421\u0432\u044f\u0437\u044c \u0441 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u0430\u043c\u0438 \u0418\u0411": "\u0414\u0430\u043d\u043d\u044b\u0435 \u0443\u0442\u043e\u0447\u043d\u044f\u044e\u0442\u0441\u044f",
  "\u0421\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u0430",
  "\u0421\u043f\u043e\u0441\u043e\u0431 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044f": "\u041e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0435 \u043c\u0435\u0440\u044b",
  "\u0421\u043f\u043e\u0441\u043e\u0431 \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438": "\u041d\u0435\u0441\u0430\u043d\u043a\u0446\u0438\u043e\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0441\u0431\u043e\u0440 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438",
  "\u0421\u0441\u044b\u043b\u043a\u0438 \u043d\u0430 \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0438": "https://github.com/sungjungk/fp-scanner-hacking\t\nhttps://www.youtube.com/watch?v=Grirez2xeas\t\nhttps://www.youtube.com/watch?v=wEXJDyEOatM\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-13603\nhttps://cxsecurity.com/cveshow/CVE-2019-13603/",
  "\u0421\u0442\u0430\u0442\u0443\u0441 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u041f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u0430\u044f \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u044c",
  "\u0422\u0438\u043f \u041f\u041e": "\u041c\u0438\u043a\u0440\u043e\u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u044b\u0439 \u043a\u043e\u0434",
  "\u0422\u0438\u043f \u043e\u0448\u0438\u0431\u043a\u0438 CWE": "CWE-310",
  "\u0423\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0441\u0442\u0438": "\u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 2.0 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 4,3)\n\u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u0431\u0430\u0437\u043e\u0432\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 CVSS 3.0 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 5,9)"
}

CVE-2019-13603 (GCVE-0-2019-13603)

Vulnerability from cvelistv5 – Published: 2019-07-16 16:52 – Updated: 2024-08-04 23:57

Summary

An issue was discovered in the HID Global DigitalPersona (formerly Crossmatch) U.are.U 4500 Fingerprint Reader Windows Biometric Framework driver 5.0.0.5. It has a statically coded initialization vector to encrypt a user's fingerprint image, resulting in weak encryption of that. This, in combination with retrieving an encrypted fingerprint image and encryption key (through another vulnerability), allows an attacker to obtain a user's fingerprint image.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/sungjungk/fp-scanner-hacking	x_refsource_MISC
https://www.youtube.com/watch?v=wEXJDyEOatM	x_refsource_MISC
https://www.youtube.com/watch?v=Grirez2xeas	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T23:57:39.463Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/sungjungk/fp-scanner-hacking"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://www.youtube.com/watch?v=wEXJDyEOatM"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://www.youtube.com/watch?v=Grirez2xeas"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "An issue was discovered in the HID Global DigitalPersona (formerly Crossmatch) U.are.U 4500 Fingerprint Reader Windows Biometric Framework driver 5.0.0.5. It has a statically coded initialization vector to encrypt a user\u0027s fingerprint image, resulting in weak encryption of that. This, in combination with retrieving an encrypted fingerprint image and encryption key (through another vulnerability), allows an attacker to obtain a user\u0027s fingerprint image."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2019-07-16T16:52:31.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/sungjungk/fp-scanner-hacking"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://www.youtube.com/watch?v=wEXJDyEOatM"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://www.youtube.com/watch?v=Grirez2xeas"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2019-13603",
          "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": "An issue was discovered in the HID Global DigitalPersona (formerly Crossmatch) U.are.U 4500 Fingerprint Reader Windows Biometric Framework driver 5.0.0.5. It has a statically coded initialization vector to encrypt a user\u0027s fingerprint image, resulting in weak encryption of that. This, in combination with retrieving an encrypted fingerprint image and encryption key (through another vulnerability), allows an attacker to obtain a user\u0027s fingerprint image."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/sungjungk/fp-scanner-hacking",
              "refsource": "MISC",
              "url": "https://github.com/sungjungk/fp-scanner-hacking"
            },
            {
              "name": "https://www.youtube.com/watch?v=wEXJDyEOatM",
              "refsource": "MISC",
              "url": "https://www.youtube.com/watch?v=wEXJDyEOatM"
            },
            {
              "name": "https://www.youtube.com/watch?v=Grirez2xeas",
              "refsource": "MISC",
              "url": "https://www.youtube.com/watch?v=Grirez2xeas"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2019-13603",
    "datePublished": "2019-07-16T16:52:31.000Z",
    "dateReserved": "2019-07-14T00:00:00.000Z",
    "dateUpdated": "2024-08-04T23:57:39.463Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.

Action not permitted

BDU:2021-02996 (CVE-2019-13603)

CVE-2019-13603 (GCVE-0-2019-13603)

Tags

Sightings

Nomenclature

Related by attack behaviour