Vulnerability-Lookup

GHSA-FGMR-RCWC-WH2P

Vulnerability from github – Published: 2022-05-24 17:17 – Updated: 2022-05-24 17:17

Details

The OKLOK (3.1.1) mobile companion app for Fingerprint Bluetooth Padlock FB50 (2.3) allows remote attackers to submit API requests using authenticated but unauthorized tokens, resulting in IDOR issues. A remote attacker can use their own token to make unauthorized API requests on behalf of arbitrary user IDs. Valid and current user IDs are trivial to guess because of the user ID assignment convention used by the app. A remote attacker could harvest email addresses, unsalted MD5 password hashes, owner-assigned lock names, and owner-assigned fingerprint names for any range of arbitrary user IDs.

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{
  "affected": [],
  "aliases": [
    "CVE-2020-8791"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-05-04T14:15:00Z",
    "severity": "MODERATE"
  },
  "details": "The OKLOK (3.1.1) mobile companion app for Fingerprint Bluetooth Padlock FB50 (2.3) allows remote attackers to submit API requests using authenticated but unauthorized tokens, resulting in IDOR issues. A remote attacker can use their own token to make unauthorized API requests on behalf of arbitrary user IDs. Valid and current user IDs are trivial to guess because of the user ID assignment convention used by the app. A remote attacker could harvest email addresses, unsalted MD5 password hashes, owner-assigned lock names, and owner-assigned fingerprint names for any range of arbitrary user IDs.",
  "id": "GHSA-fgmr-rcwc-wh2p",
  "modified": "2022-05-24T17:17:09Z",
  "published": "2022-05-24T17:17:09Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-8791"
    },
    {
      "type": "WEB",
      "url": "https://github.com/fierceoj/ownklok"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2020-8791 (GCVE-0-2020-8791)

Vulnerability from cvelistv5 – Published: 2020-05-04 13:22 – Updated: 2024-08-04 10:12

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/fierceoj/ownklok	x_refsource_MISC

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{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T10:12:10.943Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/fierceoj/ownklok"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "The OKLOK (3.1.1) mobile companion app for Fingerprint Bluetooth Padlock FB50 (2.3) allows remote attackers to submit API requests using authenticated but unauthorized tokens, resulting in IDOR issues. A remote attacker can use their own token to make unauthorized API requests on behalf of arbitrary user IDs. Valid and current user IDs are trivial to guess because of the user ID assignment convention used by the app. A remote attacker could harvest email addresses, unsalted MD5 password hashes, owner-assigned lock names, and owner-assigned fingerprint names for any range of arbitrary user IDs."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2020-05-04T13:22:14.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/fierceoj/ownklok"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2020-8791",
          "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 OKLOK (3.1.1) mobile companion app for Fingerprint Bluetooth Padlock FB50 (2.3) allows remote attackers to submit API requests using authenticated but unauthorized tokens, resulting in IDOR issues. A remote attacker can use their own token to make unauthorized API requests on behalf of arbitrary user IDs. Valid and current user IDs are trivial to guess because of the user ID assignment convention used by the app. A remote attacker could harvest email addresses, unsalted MD5 password hashes, owner-assigned lock names, and owner-assigned fingerprint names for any range of arbitrary user IDs."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/fierceoj/ownklok",
              "refsource": "MISC",
              "url": "https://github.com/fierceoj/ownklok"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2020-8791",
    "datePublished": "2020-05-04T13:22:14.000Z",
    "dateReserved": "2020-02-07T00:00:00.000Z",
    "dateUpdated": "2024-08-04T10:12:10.943Z",
    "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.

Detection rules are retrieved from Rulezet.

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.