CVE-2025-54544 (GCVE-0-2025-54544)
Vulnerability from cvelistv5 – Published: 2025-08-28 10:12 – Updated: 2025-08-28 13:31
VLAI
EPSS
VEX
Title
Stored XSS in QuickCMS
Summary
QuickCMS is vulnerable to Stored XSS via aDirFilesDescriptions parameter in files editor functionality. Malicious attacker with admin privileges can inject arbitrary HTML and JS into website, which will be rendered/executed when visiting edited page. By default admin user is not able to add JavaScript into the website.
The vendor was notified early about this vulnerability, but didn't respond with the details of vulnerability or vulnerable version range. Only version 6.8 was tested and confirmed as vulnerable, other versions were not tested and might also be vulnerable.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-28 13:30 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://cert.pl/posts/2025/08/CVE-2025-54540 | third-party-advisory |
| https://opensolution.org | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| OpenSolution | QuickCMS |
Affected:
6.8
(semver)
|
guessed |
Date Public
2025-08-25 09:55
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Sightings
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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
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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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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.