CVE-2024-43990 in Masterstudy LMS Starter Plugin
Summary
by MITRE • 09/25/2024
Insertion of Sensitive Information into Log File vulnerability in StylemixThemes Masterstudy LMS Starter.This issue affects Masterstudy LMS Starter: from n/a through 1.1.8.
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Analysis
by VulDB Data Team • 09/25/2024
The vulnerability identified as CVE-2024-43990 represents a critical insertion of sensitive information into log file issue within the StylemixThemes Masterstudy LMS Starter plugin. This flaw allows attackers to potentially inject confidential data into log files, creating a significant risk for system security and data integrity. The vulnerability specifically impacts versions of the Masterstudy LMS Starter plugin ranging from the initial release through version 1.1.8, indicating a prolonged period during which this security weakness has existed and could have been exploited by malicious actors.
This type of vulnerability falls under the CWE-532 category, which specifically addresses the insertion of sensitive information into log files, making it a direct descendant of the well-known CWE-532 classification. The technical implementation flaw occurs when the plugin fails to properly sanitize or validate user input before logging it to system files, creating an opportunity for attackers to manipulate the logging process and potentially expose sensitive data such as user credentials, session identifiers, or other confidential information. The vulnerability demonstrates poor input validation practices and inadequate data sanitization mechanisms within the logging subsystem of the Masterstudy LMS platform.
The operational impact of this vulnerability extends beyond simple information disclosure, as it can enable attackers to gather intelligence about the system and its users. When sensitive information is logged, it becomes accessible to unauthorized parties who may gain access to the log files through various attack vectors. This could include privilege escalation attacks, session hijacking, or credential harvesting, as the logged data may contain authentication tokens, user identification details, or other system-specific information that could be leveraged for further exploitation. The vulnerability particularly affects educational platforms where user data privacy is paramount, potentially exposing student information, instructor credentials, and institutional data.
Mitigation strategies for this vulnerability should focus on implementing proper input sanitization and validation mechanisms within the logging functions of the Masterstudy LMS Starter plugin. Security measures must include the removal or obfuscation of sensitive data before logging, proper access controls on log files, and regular monitoring of log file contents for unusual patterns. The recommended approach involves applying the latest security patches from StylemixThemes, implementing log file access controls, and establishing comprehensive logging policies that prevent the storage of sensitive information. Additionally, organizations should conduct regular security audits of their learning management systems and implement the principle of least privilege for log file access, aligning with established security frameworks and best practices for information security management.
The vulnerability also highlights the importance of secure coding practices and the need for regular security assessments of third-party plugins and software components. Given that this affects a learning management system, the potential impact on educational institutions and their users underscores the necessity of maintaining up-to-date security measures and implementing robust monitoring systems. Organizations should consider implementing automated log analysis tools that can detect anomalous patterns and potential data exposure incidents, while also following ATT&CK framework methodologies for threat detection and response. The security community should also monitor for similar vulnerabilities in related plugins and software components, as this type of flaw can often indicate broader architectural weaknesses in the application's security design and data handling processes.