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GHSA-2QFQ-4HW9-7RPG

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

An issue was discovered in KaiOS 1.0, 2.5, and 2.5.12.5. The pre-installed Email application is vulnerable to HTML and JavaScript injection attacks. An attacker can send a specially crafted email to the victim that will inject HTML into the email application's UI as soon as the email is opened. At a bare minimum, this allows an attacker to take control over the Email application's UI (e.g., display a malicious prompt to the user asking them to re-enter their email credentials) and also allows an attacker to abuse any of the privileges available to the mobile application.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-14756"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-09-14T19:15:00Z",
    "severity": "MODERATE"
  },
  "details": "An issue was discovered in KaiOS 1.0, 2.5, and 2.5.12.5. The pre-installed Email application is vulnerable to HTML and JavaScript injection attacks. An attacker can send a specially crafted email to the victim that will inject HTML into the email application\u0027s UI as soon as the email is opened. At a bare minimum, this allows an attacker to take control over the Email application\u0027s UI (e.g., display a malicious prompt to the user asking them to re-enter their email credentials) and also allows an attacker to abuse any of the privileges available to the mobile application.",
  "id": "GHSA-2qfq-4hw9-7rpg",
  "modified": "2022-05-24T17:28:11Z",
  "published": "2022-05-24T17:28:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-14756"
    },
    {
      "type": "WEB",
      "url": "https://research.nccgroup.com/2020/08/21/technical-advisory-multiple-html-injection-vulnerabilities-in-kaios-pre-installed-mobile-applications"
    }
  ],
  "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.

Sightings

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