GHSA-8PP6-8X4Q-C5MX
Vulnerability from github – Published: 2022-03-30 00:00 – Updated: 2022-04-07 15:30
VLAI
Summary
Server side request forgery in C1 CMS
Details
C1 CMS is an open-source, .NET based Content Management System (CMS). Versions prior to 6.12 allow an authenticated user to exploit Server Side Request Forgery (SSRF) by causing the server to make arbitrary GET requests to other servers in the local network or on localhost. The attacker may also truncate arbitrary files to zero size (effectively delete them) leading to denial of service (DoS) or altering application logic. The authenticated user may unknowingly perform the actions by visiting a specially crafted site. Patched in C1 CMS v6.12, no known workarounds exist.
Severity
7.6 (High)
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 6.11.7982.26191"
},
"package": {
"ecosystem": "NuGet",
"name": "C1CMS.Assemblies"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "6.12.8122.18346"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-24789"
],
"database_specific": {
"cwe_ids": [
"CWE-918"
],
"github_reviewed": true,
"github_reviewed_at": "2022-04-07T15:30:27Z",
"nvd_published_at": "2022-03-28T22:15:00Z",
"severity": "HIGH"
},
"details": "C1 CMS is an open-source, .NET based Content Management System (CMS). Versions prior to 6.12 allow an authenticated user to exploit Server Side Request Forgery (SSRF) by causing the server to make arbitrary GET requests to other servers in the local network or on localhost. The attacker may also truncate arbitrary files to zero size (effectively delete them) leading to denial of service (DoS) or altering application logic. The authenticated user may unknowingly perform the actions by visiting a specially crafted site. Patched in C1 CMS v6.12, no known workarounds exist.",
"id": "GHSA-8pp6-8x4q-c5mx",
"modified": "2022-04-07T15:30:27Z",
"published": "2022-03-30T00:00:31Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/Orckestra/C1-CMS-Foundation/security/advisories/GHSA-j9c2-gr6m-pp45"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-24789"
},
{
"type": "PACKAGE",
"url": "https://github.com/Orckestra/C1-CMS-Foundation"
},
{
"type": "WEB",
"url": "https://github.com/Orckestra/C1-CMS-Foundation/releases/tag/v6.12"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "Server side request forgery in C1 CMS"
}
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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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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