CVE-2024-54292 in Appsplate Plugin
Summary
by MITRE • 12/13/2024
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Appsplate Appsplate allows SQL Injection.This issue affects Appsplate: from n/a through 2.1.3.
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Analysis
by VulDB Data Team • 12/13/2024
The vulnerability identified as CVE-2024-54292 represents a critical SQL injection flaw within the Appsplate application framework that falls under the Common Weakness Enumeration category CWE-89. This weakness specifically addresses the improper neutralization of special elements used in SQL commands, creating a pathway for malicious actors to manipulate database queries through user input. The vulnerability exists in Appsplate versions ranging from an unspecified initial version through 2.1.3, indicating a broad affected scope that likely encompasses numerous deployments across different environments. The issue stems from insufficient input validation and sanitization mechanisms within the application's database interaction layers, where user-supplied data is directly incorporated into SQL query constructs without adequate escaping or parameterization.
The technical exploitation of this vulnerability occurs when an attacker crafts malicious input that gets processed by the application's SQL execution engine. This typically involves injecting special SQL characters or commands that alter the intended query structure, potentially allowing unauthorized data access, modification, or deletion. The flaw operates at the application layer where database queries are constructed using string concatenation or direct input incorporation rather than employing prepared statements or parameterized queries. Attackers can leverage this weakness to bypass authentication mechanisms, extract sensitive information from databases, modify or delete data, or even escalate privileges within the affected system. The vulnerability's impact is amplified by the fact that it affects the core database interaction functionality, making it a critical target for threat actors seeking persistent access to backend systems.
From an operational standpoint, this vulnerability presents significant risks to organizations utilizing Appsplate applications, particularly those handling sensitive data such as personal information, financial records, or proprietary business data. The potential for data breaches, compliance violations, and operational disruption makes this issue particularly dangerous in regulated environments where database security is paramount. The vulnerability's presence across multiple versions suggests that organizations may have been exposed for extended periods, potentially allowing attackers to establish persistent backdoors or exfiltrate data over time. Security teams must consider the broader implications of such a flaw, including the possibility of lateral movement within networks where database credentials might be compromised, and the potential for cascading effects if the affected application interacts with other systems through shared database resources.
Organizations should implement immediate mitigations including input validation and sanitization measures, adoption of parameterized queries or prepared statements, and comprehensive code reviews to identify similar vulnerabilities across the application stack. The remediation process should involve updating to the latest available version of Appsplate where the vulnerability has been addressed, implementing web application firewalls to detect and block malicious SQL injection attempts, and conducting thorough penetration testing to identify potential exploitation vectors. Additionally, organizations should establish monitoring protocols to detect unusual database query patterns that might indicate exploitation attempts. The vulnerability aligns with ATT&CK technique T1071.004 for application layer protocol usage and T1190 for exploitation of remote services, making it a significant concern for defensive security operations that must account for both automated scanning tools and sophisticated manual attack approaches targeting database interfaces.