CVE-2025-23036 (GCVE-0-2025-23036)
Vulnerability from cvelistv5 – Published: 2025-01-13 23:30 – Updated: 2025-01-14 00:14
VLAI
EPSS
VEX
Title
Cross-Site Scripting (XSS) Reflected endpoint 'pre_cadastro_funcionario.php' parameter 'msg_e' in WeGIA
Summary
WeGIA is an open source web manager with a focus on the Portuguese language and charitable institutions. A Reflected Cross-Site Scripting (XSS) vulnerability was identified in the `pre_cadastro_funcionario.php` endpoint of the WeGIA application. This vulnerability allows attackers to inject malicious scripts in the `msg_e` parameter. The application fails to validate and sanitize user inputs in the `msg_e` parameter. This lack of validation permits the injection of malicious payloads, which are reflected back to the user's browser in the server's response and executed within the context of the victim's browser. This issue has been addressed in version 3.2.7. All users are advised to upgrade. There are no known workarounds for this vulnerability.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-14 00:14 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/LabRedesCefetRJ/WeGIA/security… | x_refsource_CONFIRM |
| https://github.com/LabRedesCefetRJ/WeGIA/commit/8… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| LabRedesCefetRJ | WeGIA |
Affected:
< 3.2.7
|
guessed |
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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
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Vulnerability timeline
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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.