CVE-2026-103587 (GCVE-0-2026-103587)
Vulnerability from cvelistv5 – Published: 2026-09-30 23:02 – Updated: 2026-09-30 23:02
VLAI
EPSS
VEX
Title
QloApps through 1.7.0 Reflected XSS via Book Now Search Parameters
Summary
QloApps through 1.7.0 contains a reflected cross-site scripting vulnerability in the back-office Hotel Reservation System Book Now search, where date_to and id_room_type parameters are copied into template variables without validation. Attackers can craft a malicious link containing JavaScript payload in these parameters that executes in an authenticated administrator's session when the victim follows the link.
Severity
5.4 (Medium)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://github.com/Qloapps/QloApps/pull/1884 | issue-trackingpatch |
| https://github.com/Qloapps/QloApps/commit/1d06fd3… | patch |
| https://github.com/Qloapps/QloApps/blob/v1.7.0/mo… | technical-description |
| https://github.com/Qloapps/QloApps/blob/v1.7.0/mo… | technical-description |
| https://hackmd.io/@leediay/reflected-xss-qloapps-… | technical-description |
| https://hackmd.io/@leediay/four-reflected-xss-qloapps | technical-description |
| https://github.com/Qloapps/QloApps | product |
| https://www.vulncheck.com/advisories/qloapps-thro… | third-party-advisory |
Impacted products
Date Public
2026-09-30 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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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