CVE-2026-7115
SQL Injection in Employee Management System delete.php Allows Remote Exploit
Publication date: 2026-04-27
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 | employee_management_system | 1.0 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| 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. |
| 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?
The CVE-2026-7115 vulnerability exists in the Employee Management System, specifically in the file 370project/delete.php. It is a time-based blind SQL Injection vulnerability affecting the 'id' parameter in a DELETE SQL statement.
The 'id' parameter is taken directly from the URL query string without any sanitization or parameterization and concatenated into the SQL query. This allows an attacker to manipulate the database query by injecting malicious SQL code.
An attacker can exploit this by sending specially crafted requests that cause the database to perform time delays, confirming the vulnerability and enabling them to infer data or behavior from the database.
How can this vulnerability impact me? :
This vulnerability can lead to unauthorized data manipulation or deletion depending on the database permissions.
Attackers can infer sensitive data using blind SQL injection techniques.
It can also degrade system availability by forcing expensive or time-delay database operations, potentially causing denial of service.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the `id` parameter in the URL query string of the endpoint `/delete.php` for time-based blind SQL Injection.
A common detection method involves sending a specially crafted GET request that induces a time delay in the database response. For example, sending a request like `/delete.php?id=(select*from(select+sleep(10)union/**/select+1)a)` will cause the database to sleep for 10 seconds if vulnerable.
You can compare the response time of a normal request such as `GET /delete.php?id=101` with the response time of the injected request. A significant delay indicates the presence of the SQL Injection vulnerability.
- Example curl command to test the vulnerability: curl -i "http://target/delete.php?id=101"
- Example curl command to test for SQL Injection with time delay: curl -i "http://target/delete.php?id=(select*from(select+sleep(10)union/**/select+1)a)"
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include sanitizing and parameterizing the `id` parameter in the SQL query to prevent direct injection of malicious input.
Specifically, avoid directly concatenating user input into SQL queries. Instead, use prepared statements or parameterized queries to safely handle input values.
Additionally, restrict database permissions to limit the impact of any potential injection, and monitor for unusual delays or suspicious requests targeting the `/delete.php` endpoint.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability allows unauthorized manipulation and inference of database data through SQL injection, which can lead to unauthorized access, modification, or deletion of sensitive employee information.
Such unauthorized access and data manipulation can result in non-compliance with data protection regulations like GDPR and HIPAA, which require safeguarding personal and sensitive data against unauthorized access and ensuring data integrity.
Additionally, the potential denial of service caused by resource exhaustion could impact system availability, which is also a consideration under these regulations.