CVE-2026-7117
SQL Injection in Employee Management System 1.0 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 vulnerability exists in the Employee Management System 1.0, specifically in the file approve.php. It is a time-based blind SQL Injection caused by directly using user-supplied GET parameters 'id' and 'token' in an SQL UPDATE query without proper sanitization or parameterization.
An attacker can manipulate these parameters to alter the SQL query, potentially changing employee leave approval statuses without authorization. Additionally, the attacker can use time-delay payloads to infer database behavior or cause performance degradation.
How can this vulnerability impact me? :
This vulnerability can allow an attacker to unauthorizedly change employee leave approval statuses, which could disrupt business processes.
It also enables attackers to perform blind SQL injection attacks to infer sensitive data from the database.
Furthermore, attackers can cause denial of service or degrade system performance by injecting time-delay SQL payloads that force expensive database operations.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the vulnerable endpoint `/approve.php` with specially crafted SQL injection payloads in the `id` or `token` GET parameters.
A common detection method is to inject a time-delay SQL payload into the `id` parameter and observe if the response time increases accordingly, indicating successful SQL injection.
For example, sending a GET request with a payload like `(select*from(select+sleep(5)union/**/select+1)a)` URL-encoded in the `id` parameter can confirm the vulnerability if the response is delayed by about 5 seconds.
- curl -i "http://target/approve.php?id=1%20AND%20(select*from(select+sleep(5)union/**/select+1)a)=1&token=valid_token"
- Observe if the response time increases significantly (e.g., by 5 seconds), which indicates the presence of a time-based blind SQL injection.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include sanitizing and parameterizing all user inputs, especially the `id` and `token` parameters used in SQL queries.
Avoid directly concatenating user-supplied input into SQL statements. Instead, use prepared statements or parameterized queries to prevent SQL injection.
Additionally, restrict database permissions to limit the impact of any potential injection and monitor the application for unusual delays or unauthorized status changes.
If possible, temporarily disable or restrict access to the vulnerable endpoint `/approve.php` until a secure patch or fix is applied.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability allows unauthorized manipulation of employee leave approval status and potential data leakage or inference through blind SQL injection. Such unauthorized access and data manipulation could lead to violations of data protection regulations like GDPR and HIPAA, which require safeguarding personal and sensitive information against unauthorized access and ensuring data integrity.
Additionally, the possibility of denial of service or performance degradation could impact system availability, which is also a consideration under these standards.