CVE-2018-13002 (GCVE-0-2018-13002)
Vulnerability from cvelistv5 – Published: 2018-06-29 14:00 – Updated: 2024-08-05 08:52
VLAI
EPSS
VEX
Summary
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)
CWE
- n/a
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.vulnerability-lab.com/get_content.php… | x_refsource_MISC |
Date Public
2018-06-29 00:00
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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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