CVE-2025-60107 in AllInOne Plugin
Summary
by MITRE • 09/26/2025
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in LambertGroup LambertGroup - AllInOne - Banner with Playlist allows Blind SQL Injection. This issue affects LambertGroup - AllInOne - Banner with Playlist: from n/a through 3.8.
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Analysis
by VulDB Data Team • 09/26/2025
This vulnerability represents a critical sql injection flaw in the LambertGroup AllInOne Banner with Playlist software version 3.8 and earlier. The vulnerability stems from improper neutralization of special elements within sql commands, creating a pathway for attackers to manipulate database queries through crafted input. The specific nature of this vulnerability is classified as blind sql injection, meaning that attackers cannot directly see the results of their injection attempts but can infer database information through response timing or conditional responses.
The technical implementation of this flaw occurs when user-supplied input is directly incorporated into sql query construction without proper sanitization or parameterization. This allows malicious actors to inject sql code that can execute arbitrary database commands, potentially leading to unauthorized data access, modification, or deletion. The vulnerability exists in the software's handling of parameters that are used to construct sql queries for banner and playlist functionality, where user input flows directly into database operations without adequate validation or escaping mechanisms. This type of vulnerability falls under the common weakness enumeration CWE-89, which specifically addresses sql injection vulnerabilities in software applications.
The operational impact of this vulnerability is severe and multifaceted. Attackers with access to the affected system could potentially extract sensitive information from the database including user credentials, configuration details, and business data. The blind nature of the injection means that attackers can still perform extensive reconnaissance and data extraction through techniques such as time-based blind sql injection or error-based inference methods. This vulnerability could enable privilege escalation, data corruption, or complete system compromise depending on the database permissions and the nature of stored data. The affected version range suggests this is a long-standing issue that has not been properly addressed in the software lifecycle.
Mitigation strategies for this vulnerability should focus on implementing proper input validation and parameterized queries throughout the application code. The recommended approach involves using prepared statements or parameterized queries to ensure that user input is treated as data rather than executable code. Additionally, implementing proper input sanitization, output encoding, and least privilege database access controls can significantly reduce the attack surface. Organizations should also consider implementing web application firewalls and intrusion detection systems to monitor for suspicious sql injection patterns. Regular security assessments and code reviews should be conducted to identify similar vulnerabilities in other parts of the application. This vulnerability aligns with several tactics in the attack pattern taxonomy including command injection and credential access, making comprehensive defensive measures essential for protecting against both current and potential future exploitation attempts.