CVE-2018-17843 in ADD Clicking
Summary
by MITRE
SQL injection exists in ADD Clicking MLM Software 1.0, Binary MLM Software 1.0, Level MLM Software 1.0, Singleleg MLM Software 1.0, Autopool MLM Software 1.0, Investment MLM Software 1.0, Bidding MLM Software 1.0, Moneyorder MLM Software 1.0, Repurchase MLM Software 1.0, and Gift MLM Software 1.0 via the member/readmsg.php msg_id parameter, the member/tree.php pid parameter, or the member/downline.php m_id parameter.
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Analysis
by VulDB Data Team • 09/24/2023
The vulnerability identified as CVE-2018-17843 represents a critical sql injection flaw affecting multiple mlm software products from the same vendor. This vulnerability stems from inadequate input validation and improper parameter handling within several mlm software variants including clicking mlm, binary mlm, level mlm, singleleg mlm, autopool mlm, investment mlm, bidding mlm, moneyorder mlm, repurchase mlm, and gift mlm software versions one point zero. The affected parameters msg_id in member/readmsg.php, pid in member/tree.php, and m_id in member/downline.php collectively create pathways for malicious sql injection attacks. These parameters are directly incorporated into sql queries without proper sanitization or parameterization, creating an exploitable condition that allows attackers to manipulate database queries through crafted input values. The vulnerability falls under the common weakness enumeration CWE-89 which specifically addresses sql injection flaws, and aligns with attack techniques documented in the mitre att&ck framework under the command and control category where adversaries may leverage such vulnerabilities to execute arbitrary sql commands. The impact of this vulnerability extends beyond simple data theft as it can enable full database compromise, allowing attackers to extract sensitive user information, modify database contents, or potentially escalate privileges within the affected system. The affected mlm software products are particularly vulnerable due to their reliance on user-provided parameters for database operations, creating a direct attack surface where malicious actors can inject sql payloads to bypass authentication mechanisms or manipulate user data. The attack vector is particularly concerning as it targets administrative functions within the mlm software ecosystem, potentially allowing unauthorized access to member communications, hierarchical tree structures, and downline member information. The vulnerability's persistence across multiple software variants suggests a systemic code flaw in the development approach, indicating that similar issues may exist in other parameter handling functions throughout the software suite. Security professionals should note that this vulnerability can be exploited with minimal technical expertise, making it particularly dangerous in environments where mlm software is used to manage sensitive user financial data or hierarchical membership structures. The exploitation of these parameters allows attackers to execute arbitrary sql commands against the underlying database, potentially leading to complete system compromise or data exfiltration. Organizations utilizing any of these mlm software versions should immediately implement input validation measures, parameterized queries, and comprehensive code review processes to address this sql injection vulnerability. The remediation approach should include proper input sanitization, use of prepared statements, and implementation of web application firewalls to prevent exploitation attempts. Additionally, security teams should conduct thorough vulnerability assessments across all software components to identify similar sql injection vulnerabilities that may exist in other parts of the system architecture. This vulnerability demonstrates the critical importance of secure coding practices and proper input validation in web applications, particularly in systems handling sensitive user data and business-critical information. The widespread nature of this vulnerability across multiple mlm software variants underscores the need for comprehensive security testing and remediation strategies in software development lifecycle processes.