Overview
This blog post provides an in-depth technical analysis of a significant vulnerability identified with the identifier CVE-2025-31920. This flaw affects the WP Guppy application developed by AmentoTech. The issue lies in the improper neutralization of specific elements utilized in an SQL command, creating a potential for an SQL Injection attack.
This vulnerability is critical as it can lead to a potential system compromise or data leakage, drastically affecting the security of the data and integrity of the affected system. Any organization or individual using WP Guppy versions up to 4.3.3 should consider this vulnerability seriously due to its high severity.
Vulnerability Summary
CVE ID: CVE-2025-31920
Severity: High (8.5 CVSS Score)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: System compromise or data leakage
Affected Products
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Product | Affected Versions
AmentoTech WP Guppy | up to 4.3.3
How the Exploit Works
The vulnerability arises from the application’s failure to properly sanitize user-supplied input before incorporating it into an SQL query. An attacker could manipulate this flaw by providing a specially crafted input, which, when processed by the application, would distort the structure of the SQL query. This distortion can lead to unauthorized read or write access to the database, potential system compromise, or data leakage.
Conceptual Example Code
Here is a
conceptual
example of how this SQL Injection vulnerability might be exploited. This pseudocode represents a malicious HTTP request sent to a vulnerable endpoint:
POST /wp-guppy/vulnerable-endpoint HTTP/1.1
Host: target.example.com
Content-Type: application/x-www-form-urlencoded
username=admin&password=' OR '1'='1In this example, the input `’ OR ‘1’=’1` can manipulate the SQL query to authenticate the attacker as an admin without knowing the actual password.
Mitigation Measures
AmentoTech has released a patch to address this vulnerability, and users are strongly encouraged to update their WP Guppy application to the latest version. As a temporary mitigation measure, users can implement a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to detect and prevent SQL Injection attacks.