MySQL Config Exposure Scanner
This scanner detects the use of MySQL configuration exposure in digital assets. It identifies vulnerabilities related to exposed MySQL credentials, configuration, and command history, which can lead to database compromise.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
18 days 3 hours
Scan only one
URL
Toolbox
The MySQL Config Exposure Scanner is a specialized tool used to detect exposed MySQL configuration files in digital assets. Primarily utilized by database administrators and security professionals, it helps maintain the security posture of database environments. This scanner identifies misconfigurations that could lead to exposure of sensitive database credentials or SQL command history, providing an early warning system against potential breaches. By ensuring that these critical files are safeguarded, the scanner aids in preserving data integrity and privacy. MySQL is widely used across various platforms, necessitating vigilant monitoring for exposure risks.
The vulnerability detected by this scanner pertains to the unintentional exposure of MySQL configuration files and command history. This exposure can occur when security settings are improperly configured, allowing unauthorized access to crucial files such as .my.cnf and .mysql_history. When attackers gain access to these files, they can retrieve sensitive information such as database passwords. The vulnerability primarily threatens the confidentiality and integrity of the MySQL databases it targets, emphasizing the need for preventive measures. Continuous scanning is crucial to maintaining a secure database environment.
Technical details of this vulnerability involve the exposure of MySQL configuration files accessible via HTTP. When these files are improperly secured, they can reveal database credentials, offering potential malicious entities the ability to compromise the database. The scanner checks for specific files, including .my.cnf, and for SQL command history entries that are vulnerable to exposure. Indicators such as the presence of [client] headers or regex patterns matching password assignments signal a possible security risk. Understanding these technical nuances helps in comprehensively securing against such exposures.
Exploiting this vulnerability could have severe consequences, including unauthorized access to database systems and data breaches. Attackers may leverage exposed credentials to gain full control over MySQL databases, extract sensitive information, alter data, or disrupt services. The exposure could lead to a loss of customer trust, potential legal liabilities, and a damaging impact on the organization's reputation. Preventive and immediate corrective action is crucial to mitigate these risks and ensure robust database security.
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