GHSA-CQVG-FWRM-3XXF

Vulnerability from github – Published: 2022-08-23 00:00 – Updated: 2022-08-27 00:00
VLAI
Details

Tabit - Excessive data exposure. Another endpoint mapped by the tiny url, was one for reservation cancellation, containing the MongoDB ID of the reservation, and organization. This can be used to query the http://tgm-api.tabit.cloud/rsv/management/{reservationId}?organization={orgId} API which returns a lot of data regarding the reservation (OWASP: API3): Name, mail, phone number, the number of visits of the user to this specific restaurant, the money he spent there, the money he spent on alcohol, whether he left a deposit etc. This information can easily be used for a phishing attack.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-34775"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-668"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-08-22T15:15:00Z",
    "severity": "HIGH"
  },
  "details": "Tabit - Excessive data exposure. Another endpoint mapped by the tiny url, was one for reservation cancellation, containing the MongoDB ID of the reservation, and organization. This can be used to query the http://tgm-api.tabit.cloud/rsv/management/{reservationId}?organization={orgId} API which returns a lot of data regarding the reservation (OWASP: API3): Name, mail, phone number, the number of visits of the user to this specific restaurant, the money he spent there, the money he spent on alcohol, whether he left a deposit etc. This information can easily be used for a phishing attack.",
  "id": "GHSA-cqvg-fwrm-3xxf",
  "modified": "2022-08-27T00:00:53Z",
  "published": "2022-08-23T00:00:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-34775"
    },
    {
      "type": "WEB",
      "url": "https://www.gov.il/en/departments/faq/cve_advisories"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}


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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

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Nomenclature

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