GHSA-7G75-9V7P-FMQC
Vulnerability from github – Published: 2022-05-14 03:06 – Updated: 2022-05-14 03:06
VLAI
Details
An XSS issue was discovered in Inhaltsprojekte in Weblication CMS Core & Grid v12.6.24. The vulnerability is located in the wFilemanager.php and index.php files of the /grid5/scripts/ modules. The injection point is located in the Project Title and the execution point occurs in the Inhaltsprojekte output listing section. Remote attackers with privileged user accounts are able to inject their own malicious script code with a persistent attack vector to compromise user session credentials or to manipulate the affected web-application module output context. The request method to inject is POST.
Severity
4.8 (Medium)
{
"affected": [],
"aliases": [
"CVE-2018-13002"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-06-29T14:29:00Z",
"severity": "MODERATE"
},
"details": "An XSS issue was discovered in Inhaltsprojekte in Weblication CMS Core \u0026 Grid v12.6.24. The vulnerability is located in the `wFilemanager.php` and `index.php` files of the `/grid5/scripts/` modules. The injection point is located in the Project `Title` and the execution point occurs in the `Inhaltsprojekte` output listing section. Remote attackers with privileged user accounts are able to inject their own malicious script code with a persistent attack vector to compromise user session credentials or to manipulate the affected web-application module output context. The request method to inject is POST.",
"id": "GHSA-7g75-9v7p-fmqc",
"modified": "2022-05-14T03:06:32Z",
"published": "2022-05-14T03:06:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-13002"
},
{
"type": "WEB",
"url": "https://www.vulnerability-lab.com/get_content.php?id=2121"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/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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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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