CVE-2018-25379
Received Received - Intake
Boolean-Based Blind SQL Injection in Collectric CMU

Publication date: 2026-05-25

Last updated on: 2026-05-25

Assigner: VulnCheck

Description
Collectric CMU 1.0 contains a boolean-based blind SQL injection vulnerability in the lang parameter that allows unauthenticated attackers to manipulate database queries during authentication. Attackers can inject SQL code through the lang parameter in login requests to extract sensitive information from the database using time-based blind techniques.
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Meta Information
Published
2026-05-25
Last Modified
2026-05-25
Generated
2026-05-26
AI Q&A
2026-05-26
EPSS Evaluated
N/A
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
collectric cmu 1.0
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?

CVE-2018-25379 is a boolean-based blind SQL injection vulnerability found in Collectric CMU 1.0. It exists in the 'lang' parameter used during authentication. This vulnerability allows unauthenticated attackers to inject SQL code through the 'lang' parameter in login requests.

By exploiting this flaw, attackers can manipulate database queries and extract sensitive information from the database using time-based blind SQL injection techniques.


How can this vulnerability impact me? :

This vulnerability can have serious impacts as it allows attackers to extract sensitive information from the database without authentication.

Since the vulnerability affects authentication mechanisms, it could lead to unauthorized access or data leakage, compromising the confidentiality of the system.


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