AWS OpenSearch Panel Detection Scanner

This scanner detects the use of AWS OpenSearch Panel in digital assets.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

18 days 11 hours

Scan only one

URL

Toolbox

-

AWS OpenSearch is utilized primarily by organizations looking for a reliable and scalable search and analytics suite. It's deployed in cloud environments to manage large volumes of data in real-time, often used by data analytics teams. Organizations use it to derive insights from large datasets, especially those related to application monitoring and log analytics. Designed to offer ease of use, OpenSearch is entirely open-source, making it highly accessible to companies of all sizes. It's favored by organizations that need a scalable and flexible search engine built for speed and quality. Supported by Amazon, OpenSearch combines search and analytics capabilities with enterprise-grade security features.

This template detects the presence of an AWS OpenSearch login panel, which could indicate a possible security configuration issue. Panel detections like these help identify unsecured administrative interfaces that may be exposed to the open internet. Identifying such panels helps organizations recognize potential points of unauthorized access. As a detection tool, it plays a crucial role in safeguarding the user data stored and processed within the OpenSearch environment. Panels often have default login credentials which, if not changed, could be exploited by malicious actors. Thus, detecting their presence is a first step toward ensuring they are properly secured and monitored.

The template operates by scanning for the specific OpenSearch Dashboards login page. It checks for a 200 status code and particular words noting the OpenSearch Dashboards, confirming that a login panel is exposed. These endpoints can be susceptible if not secured correctly, potentially allowing unauthorized access. Finding these panels without proper security measures is crucial, as it helps in preventing unauthorized personnel from potentially viewing or manipulating sensitive data. Technical measures in the scanner ensure it accurately detects the presence of OpenSearch dashboards through precise HTTP requests. The template relies on textual recognition and HTTP response status to confirm panel exposure.

If this login panel exposure is exploited, unauthorized users may gain access to the OpenSearch environment. Malicious actors may retrieve or manipulate data, causing potential data loss or corruption. Unauthorized access could lead to intellectual property theft or a breach of sensitive and confidential information. This could also mean significant operational disruption for services relying on OpenSearch data. Consequently, organizations may face compliance and regulatory penalties for not adequately securing access points. In severe cases, financial loss and reputational damage could occur due to exploitation of these vulnerabilities.

REFERENCES

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