Overview
The CVE-2025-52720 vulnerability pertains to an SQL Injection flaw found in the Super Store Finder application. This flaw allows an attacker to manipulate the application’s database by injecting malicious SQL code. Super Store Finder, a widely used application that helps customers locate stores, is affected by this vulnerability, which has a CVSS Severity Score of 9.3. This vulnerability is significant because it can potentially compromise the entire system or lead to severe data leakage.
Vulnerability Summary
CVE ID: CVE-2025-52720
Severity: Critical (9.3)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: System compromise and potential data leakage
Affected Products
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Product | Affected Versions
Super Store Finder | Up to 7.5
How the Exploit Works
SQL Injection exploits work by injecting malicious SQL statements into input fields that are then passed to an SQL server for parsing and execution. In the case of the CVE-2025-52720 vulnerability, an attacker could leverage this vulnerability to manipulate the application’s SQL queries, which could lead to unauthorized access or manipulation of the database, potential system compromise, and data leakage.
Conceptual Example Code
The following is a conceptual example of how this vulnerability might be exploited. In this example, an attacker could use a specially crafted SQL command to manipulate the application’s database.
POST /store/search HTTP/1.1
Host: target.example.com
Content-Type: application/x-www-form-urlencoded
storeName=' OR '1'='1'; DROP TABLE users; --In this example, the malicious SQL command `’ OR ‘1’=’1′; DROP TABLE users; –` is injected into the `storeName` parameter. The SQL server receives this command, interprets `’ OR ‘1’=’1’` as true, and proceeds to execute the `DROP TABLE users;` command, which deletes the users table from the database.
Mitigation Guidance
To mitigate this vulnerability, users of Super Store Finder should apply the latest patch provided by the vendor. As a temporary solution, using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) can help prevent SQL injection attacks. These tools can detect and block malicious SQL commands before they reach the application’s SQL server.