Realce Tecnologia Queue Ticket Kiosk up to 20250517 Cadastro de Administrador Page /adm/index.php Name/Usuário cross site scripting

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
2.3$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Realce Tecnologia Queue Ticket Kiosk up to 20250517. Affected by this issue is some unknown functionality of the file /adm/index.php of the component Cadastro de Administrador Page. This manipulation of the argument Name/Usuário causes cross site scripting. This vulnerability is tracked as CVE-2025-5179. The attack is possible to be carried out remotely. Moreover, an exploit is present. The vendor was contacted early about this disclosure but did not respond in any way.

Detailsinfo

A vulnerability classified as problematic was found in Realce Tecnologia Queue Ticket Kiosk up to 20250517. Affected by this vulnerability is some unknown processing of the file /adm/index.php of the component Cadastro de Administrador Page. The manipulation of the argument Name/Usuário with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity.

This vulnerability is known as CVE-2025-5179. The exploitation appears to be easy. The attack can be launched remotely. Additional levels of successful authentication are required for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and also a exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way. By approaching the search of inurl:adm/index.php it is possible to find vulnerable targets with Google Hacking.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍

CVSSv3info

VulDB Meta Base Score: 2.4
VulDB Meta Temp Score: 2.3

VulDB Base Score: 2.4
VulDB Temp Score: 2.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 2.4
CNA Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Proof-of-Concept
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/25/2025 🔍
05/25/2025 +0 days 🔍
05/26/2025 +1 days 🔍

Sourcesinfo

Status: Not defined

CVE: CVE-2025-5179 (🔍)
GCVE (CVE): GCVE-0-2025-5179
GCVE (VulDB): GCVE-100-310267
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 05/25/2025 19:19
Updated: 05/26/2025 13:57
Changes: 05/25/2025 19:19 (55), 05/26/2025 12:30 (30), 05/26/2025 13:57 (1)
Complete: 🔍
Submitter: j369
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #579852: Realce Tecnologia Queue ticket kiosk web application N/A Stored Cross Site Scripting

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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