Overview
A significant vulnerability, CVE-2025-54026, has been identified in the GymBase Theme Classes, a popular product by QuanticaLabs. This vulnerability involves a SQL Injection attack, which has the potential to compromise the system or leak sensitive data. The vulnerability, which affects versions up to and including 1.4 of GymBase Theme Classes, is of high concern due to the severity of the potential impact and the wide usage of the product. It is therefore crucial that all users of the affected versions take immediate action to mitigate the risks posed.
Vulnerability Summary
CVE ID: CVE-2025-54026
Severity: High (8.5 CVSS Score)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: System compromise or data leakage
Affected Products
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Product | Affected Versions
QuanticaLabs GymBase Theme Classes | n/a to 1.4
How the Exploit Works
The exploit works by taking advantage of improper neutralization of special elements used in an SQL command within GymBase Theme Classes. As a result, attackers can manipulate SQL queries, allowing them to retrieve, modify or delete data from the database. They may also gain unauthorized access to the system, circumventing existing security measures.
Conceptual Example Code
The following is a conceptual example of how the vulnerability might be exploited. This is a hypothetical HTTP request where a malicious SQL command is inserted into the payload.
POST /vulnerable/endpoint HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "user_input": "' OR '1'='1'; --" }
In this example, the SQL command `’ OR ‘1’=’1′; –` injected into the user input field may cause the application to execute the SQL query as if all rows in the database are being requested, potentially leading to data leakage.
Mitigation Guidance
To mitigate this vulnerability, users are advised to apply the vendor patch as soon as it is available. In the meantime, employing a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can serve as a temporary mitigation measure. Furthermore, it is recommended to sanitize user inputs in SQL queries to prevent possible SQL injection attacks.