GHSA-6GVC-RC8P-3485

Vulnerability from github – Published: 2022-05-24 17:28 – Updated: 2022-05-24 17:28
VLAI
Details

An issue was discovered in KaiOS 2.5 and 2.5.1. The pre-installed Contacts application is vulnerable to HTML and JavaScript injection attacks. An attacker can send a vCard file to the victim that will inject HTML into the Contacts application (assuming the victim chooses to import the file). At a bare minimum, this allows an attacker to take control over the Contacts application's UI (e.g., display a malicious prompt to the user asking them to re-enter credentials such as their KaiOS credentials to continue using the application) and also allows an attacker to abuse any of the privileges available to the mobile application.

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{
  "affected": [],
  "aliases": [
    "CVE-2019-14757"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-09-14T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "An issue was discovered in KaiOS 2.5 and 2.5.1. The pre-installed Contacts application is vulnerable to HTML and JavaScript injection attacks. An attacker can send a vCard file to the victim that will inject HTML into the Contacts application (assuming the victim chooses to import the file). At a bare minimum, this allows an attacker to take control over the Contacts application\u0027s UI (e.g., display a malicious prompt to the user asking them to re-enter credentials such as their KaiOS credentials to continue using the application) and also allows an attacker to abuse any of the privileges available to the mobile application.",
  "id": "GHSA-6gvc-rc8p-3485",
  "modified": "2022-05-24T17:28:11Z",
  "published": "2022-05-24T17:28:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-14757"
    },
    {
      "type": "WEB",
      "url": "https://research.nccgroup.com/2020/08/21/technical-advisory-multiple-html-injection-vulnerabilities-in-kaios-pre-installed-mobile-applications"
    },
    {
      "type": "WEB",
      "url": "https://www.nccgroup.trust/us/our-research"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}


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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.

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Nomenclature

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