GHSA-H3PF-MVGP-G8G3
Vulnerability from github – Published: 2022-05-14 03:37 – Updated: 2022-05-14 03:37
VLAI
Details
In Knox SDS IAM (Identity Access Management) and EMM (Enterprise Mobility Management) 16.11 on Samsung mobile devices, a man-in-the-middle attacker can install any application into the Knox container (without the user's knowledge) by inspecting network traffic from a Samsung server and injecting content at a certain point in the update sequence. This installed application can further leak information stored inside the Knox container to the outside world.
Severity
5.9 (Medium)
{
"affected": [],
"aliases": [
"CVE-2017-10963"
],
"database_specific": {
"cwe_ids": [
"CWE-74"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-02-20T19:29:00Z",
"severity": "MODERATE"
},
"details": "In Knox SDS IAM (Identity Access Management) and EMM (Enterprise Mobility Management) 16.11 on Samsung mobile devices, a man-in-the-middle attacker can install any application into the Knox container (without the user\u0027s knowledge) by inspecting network traffic from a Samsung server and injecting content at a certain point in the update sequence. This installed application can further leak information stored inside the Knox container to the outside world.",
"id": "GHSA-h3pf-mvgp-g8g3",
"modified": "2022-05-14T03:37:03Z",
"published": "2022-05-14T03:37:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-10963"
},
{
"type": "WEB",
"url": "https://gist.github.com/e96e02/12ce905e3b724954273dd7d543a968f1"
},
{
"type": "WEB",
"url": "https://www.lgsinnovations.com/lgs-innovations-discovers-samsung-mobile-product-security-vulnerability"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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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.
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