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.
{
"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": []
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
| 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.
Loading…
Loading…