GHSA-G359-P277-83P3
Vulnerability from github – Published: 2025-01-22 00:33 – Updated: 2025-01-22 15:32
VLAI
Details
A remote code injection vulnerability exists in the Ambari Metrics and AMS Alerts feature, allowing authenticated users to inject and execute arbitrary code. The vulnerability occurs when processing alert definitions, where malicious input can be injected into the alert script execution path. An attacker with authenticated access can exploit this vulnerability to execute arbitrary commands on the server. The issue has been fixed in the latest versions of Ambari.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2024-51941"
],
"database_specific": {
"cwe_ids": [
"CWE-75",
"CWE-77",
"CWE-94"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-01-21T22:15:12Z",
"severity": "HIGH"
},
"details": "A remote code injection vulnerability exists in the Ambari Metrics and \nAMS Alerts feature, allowing authenticated users to inject and execute \narbitrary code. The vulnerability occurs when processing alert \ndefinitions, where malicious input can be injected into the alert script\n execution path. An attacker with authenticated access can exploit this \nvulnerability to execute arbitrary commands on the server. The issue has\n been fixed in the latest versions of Ambari.",
"id": "GHSA-g359-p277-83p3",
"modified": "2025-01-22T15:32:33Z",
"published": "2025-01-22T00:33:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-51941"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/xq50nlff7o7z1kq3y637clzzl6mjhl8j"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2025/01/21/9"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"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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