CVE-2025-59525 (GCVE-0-2025-59525)
Vulnerability from cvelistv5 – Published: 2025-09-24 18:15 – Updated: 2025-10-15 16:06
VLAI
EPSS
VEX
Title
Horilla has Improper Input Sanitization Leading to XSS and Admin Account Takeover
Summary
Horilla is a free and open source Human Resource Management System (HRMS). Prior to version 1.4.0, improper sanitization across the application allows XSS via uploaded SVG (and via allowed <embed>), which can be chained to execute JavaScript whenever users view impacted content (e.g., announcements). This can result in admin account takeover. This issue has been patched in version 1.4.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-15 16:05 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/horilla-opensource/horilla/sec… | x_refsource_CONFIRM |
| https://github.com/Mmo-kali/CVE/blob/main/CVE-202… | x_refsource_MISC |
| https://github.com/horilla-opensource/horilla/rel… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| horilla-opensource | horilla |
Affected:
< 1.4.0
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
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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.
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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.