CVE-2018-25417
Received Received - Intake
SQL Injection in AiOPMSD Final 1.0.0

Publication date: 2026-05-30

Last updated on: 2026-05-30

Assigner: VulnCheck

Description
AiOPMSD Final 1.0.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the quality parameter. Attackers can send GET requests to quality.php with crafted SQL payloads in the quality parameter to extract sensitive database information including usernames, database names, and version details.
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Meta Information
Published
2026-05-30
Last Modified
2026-05-30
Generated
2026-05-30
AI Q&A
2026-05-30
EPSS Evaluated
N/A
NVD
EUVD
Affected Vendors & Products
Currently, no data is known.
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.
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AI Powered Q&A
Can you explain this vulnerability to me?

CVE-2018-25417 is a high-severity SQL injection vulnerability found in AiOPMSD Final 1.0.0. It occurs because the 'quality' parameter in the quality.php file is not properly sanitized. This allows unauthenticated attackers to inject malicious SQL code through this parameter by sending specially crafted GET requests.

As a result, attackers can execute arbitrary SQL queries on the database, potentially extracting sensitive information such as usernames, database names, and version details.


How can this vulnerability impact me? :

This vulnerability can have serious impacts including unauthorized access to sensitive database information. Attackers can exploit it to retrieve confidential data like usernames and database details without any authentication.

Such unauthorized data extraction can lead to data breaches, loss of confidentiality, and potential further exploitation of the system.


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability can be detected by monitoring for suspicious GET requests to the quality.php file that include unusual or crafted SQL payloads in the 'quality' parameter.

A practical approach is to use network traffic inspection tools or web server logs to identify such requests.

  • Use tools like curl or wget to test the endpoint with SQL injection payloads, for example: curl "http://target/quality.php?quality=' OR '1'='1"
  • Search web server logs for suspicious patterns: grep "quality=" /var/log/apache2/access.log | grep -E "('|--|;|\bOR\b|\bAND\b)"
  • Use intrusion detection systems (IDS) or web application firewalls (WAF) with SQL injection detection rules enabled to alert on such attempts.

What immediate steps should I take to mitigate this vulnerability?

Immediate mitigation steps include restricting access to the vulnerable quality.php endpoint and applying input validation or sanitization to the 'quality' parameter.

If possible, update or patch AiOPMSD Final to a version that addresses this SQL injection vulnerability.

  • Implement a web application firewall (WAF) to block malicious SQL injection payloads targeting the 'quality' parameter.
  • Monitor and block suspicious IP addresses attempting to exploit this vulnerability.
  • Disable or restrict GET requests to quality.php if not required.

How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

The SQL injection vulnerability in AiOPMSD Final 1.0.0 allows unauthenticated attackers to extract sensitive database information such as usernames and database details. This unauthorized access to sensitive data can lead to violations of data protection regulations like GDPR and HIPAA, which require safeguarding personal and sensitive information against unauthorized access and breaches.

By enabling attackers to access sensitive data through SQL injection, the vulnerability undermines the confidentiality and integrity of stored information, potentially resulting in non-compliance with these standards and regulations.


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