GHSA-P373-JQFM-J6WR
Vulnerability from github – Published: 2022-10-20 12:00 – Updated: 2022-10-22 01:12
VLAI
Summary
Shinken Solutions Shinken Monitoring vulnerable to Incorrect Access Control
Details
Shinken Solutions Shinken Monitoring Version 2.4.3 affected is vulnerable to Incorrect Access Control. The SafeUnpickler class found in shinken/safepickle.py implements a weak authentication scheme when unserializing objects passed from monitoring nodes to the Shinken monitoring server.
Severity
9.8 (Critical)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "Shinken"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "2.4.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-37298"
],
"database_specific": {
"cwe_ids": [
"CWE-287"
],
"github_reviewed": true,
"github_reviewed_at": "2022-10-20T18:39:15Z",
"nvd_published_at": "2022-10-20T11:15:00Z",
"severity": "CRITICAL"
},
"details": "Shinken Solutions Shinken Monitoring Version 2.4.3 affected is vulnerable to Incorrect Access Control. The `SafeUnpickler` class found in `shinken/safepickle.py` implements a weak authentication scheme when unserializing objects passed from monitoring nodes to the Shinken monitoring server.",
"id": "GHSA-p373-jqfm-j6wr",
"modified": "2022-10-22T01:12:42Z",
"published": "2022-10-20T12:00:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-37298"
},
{
"type": "WEB",
"url": "https://github.com/naparuba/shinken/commit/2dae40fd1e713aec9e1966a0ab7a580b9180cff2"
},
{
"type": "WEB",
"url": "https://github.com/dbyio/cve-2022-37298"
},
{
"type": "PACKAGE",
"url": "https://github.com/naparuba/shinken"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Shinken Solutions Shinken Monitoring vulnerable to Incorrect Access Control"
}
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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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