CVE-2025-10692
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-10-03

Last updated on: 2025-10-06

Assigner: Fluid Attacks

Description
The endpoint POST /api/staff/get-new-tickets concatenates the user-controlled parameter departmentId directly into the SQL WHERE clause without parameter binding. As a result, an authenticated staff user (level β‰₯ 1) can inject SQL to alter the filter logic, effectively bypassing department scoping and disclosing tickets beyond their intended access.This issue affects OpenSupports: 4.11.0.
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Meta Information
Published
2025-10-03
Last Modified
2025-10-06
Generated
2026-05-07
AI Q&A
2025-10-03
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
opensupports opensupports 4.11.0
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

This vulnerability occurs because the POST /api/staff/get-new-tickets endpoint in OpenSupports 4.11.0 directly concatenates the user-controlled parameter departmentId into the SQL WHERE clause without using parameter binding. This allows an authenticated staff user with level 1 or higher to perform SQL injection, altering the filter logic to bypass department restrictions and access tickets beyond their authorized scope.


How can this vulnerability impact me? :

The vulnerability can lead to unauthorized disclosure of ticket information beyond the user's permitted department scope. An attacker with valid staff credentials can manipulate SQL queries to access sensitive data they should not see, potentially exposing confidential or restricted information.


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