CVE-2025-14959
SQL Injection in Simple Stock System /market/signup.php Allows Remote Exploit
Publication date: 2025-12-19
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| code-projects | simple_stock_system | 1.0 |
Helpful Resources
Exploitability
| 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. |
| CWE-74 | The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2025-14959 is a SQL injection vulnerability in the Simple Stock System version 1.0, specifically in the /market/signup.php file. The vulnerability occurs because the 'username' parameter is directly used in SQL queries without proper sanitization or validation, allowing attackers to inject malicious SQL code. This enables unauthorized manipulation of database queries remotely without authentication. [1, 2, 3]
How can this vulnerability impact me? :
Exploitation of this vulnerability can lead to unauthorized database access, leakage of sensitive data, data tampering, full system compromise, and disruption of services. Attackers can manipulate SQL queries to perform unauthorized operations, potentially compromising confidentiality, integrity, and availability of the system. [1, 3]
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the /market/signup.php endpoint for SQL injection via the 'username' parameter. A common approach is to use automated tools like sqlmap to test for SQL injection. For example, you can run a command such as: sqlmap -u "http://target/market/signup.php" --data="username=test&[email protected]&password=pass" -p username to check if the username parameter is injectable. Additionally, attackers may be identified by monitoring for unusual POST requests to signup.php with suspicious payloads. Google dorking with queries like inurl:market/signup.php can help identify vulnerable targets externally. [1, 3]
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include: 1) Implement prepared statements with parameter binding to prevent SQL injection by separating SQL code from user input. 2) Apply strict input validation and filtering on the 'username' parameter to ensure it conforms to expected formats. 3) Restrict database user permissions to the minimum necessary, avoiding use of high-privilege accounts such as 'root' or 'admin' for routine database operations. If possible, replace the affected component with an alternative product as no known countermeasures are documented. These actions are critical to protect system security and maintain data integrity. [1, 3]
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability allows unauthorized access and manipulation of the database, potentially leading to sensitive data leakage and data tampering. Such data breaches can result in non-compliance with data protection regulations like GDPR and HIPAA, which require safeguarding personal and sensitive information. Therefore, exploitation of this vulnerability could compromise compliance with these standards by exposing confidential data and failing to maintain data integrity and security. [1, 2, 3]