CVE-2019-25576 in Kepler Wallpaper Script
Summary
by MITRE • 03/21/2026
Kepler Wallpaper Script 1.1 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code into the category parameter. Attackers can send GET requests to the category endpoint with URL-encoded SQL UNION statements to extract database information including usernames, database names, and MySQL version details.
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Analysis
by VulDB Data Team • 03/22/2026
The CVE-2019-25576 vulnerability affects Kepler Wallpaper Script version 1.1 and represents a critical sql injection flaw that undermines the application's database security. This vulnerability exists within the script's handling of user input through the category parameter, which is processed without proper sanitization or validation mechanisms. The flaw allows unauthenticated attackers to manipulate the application's database queries by injecting malicious sql code directly through http get requests. The vulnerability specifically targets the category endpoint where user-supplied input is concatenated directly into sql statements without appropriate escaping or parameterization techniques. This type of vulnerability falls under the common weakness enumeration category CWE-89, which defines sql injection as the improper handling of sql commands within applications.
The operational impact of this vulnerability extends far beyond simple data extraction, as it provides attackers with comprehensive access to the underlying database infrastructure. Through carefully crafted url-encoded sql union statements, attackers can enumerate sensitive information including user credentials stored in the database, database schema details, and system metadata such as mysql version information. The vulnerability enables attackers to perform data exfiltration, potentially compromising user accounts and exposing confidential information that could be used for further attacks. The unauthenticated nature of this vulnerability means that any external party can exploit it without requiring prior access credentials, making it particularly dangerous for publicly accessible web applications. This weakness directly aligns with attack techniques documented in the attack tree framework where adversaries can leverage sql injection to achieve persistent access and escalate privileges within the affected system.
Mitigation strategies for CVE-2019-25576 should focus on implementing proper input validation and parameterized query execution throughout the application codebase. The most effective remediation involves replacing direct string concatenation of user input with prepared statements or parameterized queries that separate sql code from data. Applications should implement input sanitization routines that filter or escape special characters commonly used in sql injection attacks such as single quotes, semicolons, and union keywords. Additionally, the application should enforce proper access controls and implement least privilege principles to limit the damage that could occur even if the vulnerability is exploited. Security headers should be implemented to detect and prevent common sql injection patterns, and regular security testing including automated sql injection scanning should be performed to identify similar vulnerabilities. Organizations should also consider implementing web application firewalls and database activity monitoring solutions to detect anomalous sql query patterns that may indicate exploitation attempts. The vulnerability demonstrates the critical importance of following secure coding practices and adheres to the principle of defense in depth as outlined in cybersecurity frameworks such as the nist cybersecurity framework.