MongoDB Exporter Exposure Scanner
This scanner detects the use of MongoDB Exporter Security Misconfiguration in digital assets. It identifies misconfigured MongoDB Exporter instances that could lead to potential security risks and unauthorized data exposure.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
8 days 1 hour
Scan only one
URL
Toolbox
-
MongoDB Exporter is a widely-used tool for monitoring the performance and health of MongoDB databases. It is employed by database administrators and IT professionals to gather metrics from MongoDB instances for analysis. By providing detailed insights, the exporter helps ensure optimal database performance and assists in resource management. The tool is integral in environments where MongoDB is used due to its ease of integration with monitoring solutions like Prometheus and Grafana. MongoDB Exporter's role in maintaining database availability and performance makes it essential for large-scale operations and critical data environments. Its capability to monitor on-premises as well as cloud-based MongoDB instances further broadens its applicability.
The vulnerability detected in MongoDB Exporter involves incorrect configurations that may lead to unauthorized data exposure. Security Misconfiguration in this context refers to the failure to safeguard endpoints, potentially allowing unauthorized users to access sensitive performance metrics. Such misconfigurations can arise from default settings not being properly secured after setup. The risk is particularly acute in environments where MongoDB Exporter is externally exposed to the internet. By identifying these vulnerabilities, the scanner helps organizations to prevent unauthorized access and data leaks.
Technical details of the vulnerability include the exposure of the '/metrics' endpoint without proper access controls. The '/metrics' endpoint provides detailed information aboutMongoDB server metrics which should typically be restricted to authorized personnel. The template checks for the presence of specific indicators like "# HELP" and "mongodb_exporter_build_info" in the body of HTTP responses to detect misconfigured instances. It also verifies that the endpoint returns a HTTP 200 status code, confirming its availability. The lack of authentication mechanisms at this endpoint is the core vulnerability, allowing attackers to potentially gather sensitive metrics data.
Exploitation of this vulnerability could result in the exposure of sensitive performance metrics and internal configuration details of a MongoDB database. Attackers could use this information to plan further attacks, optimize denial of service attacks, or exfiltrate data. The insights gained can reveal database performance characteristics that may highlight potential points of attack. As a result, database administrators might face unauthorized access issues and service disruptions. The leaking of such data contravenes data protection policies, leading to potential legal and financial consequences.
REFERENCES
