MonstraCMS Technology Detection Scanner

This scanner detects the use of MonstraCMS in digital assets.

Short Info


Level

Informational

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

26 days 10 hours

Scan only one

URL

Toolbox

-

MonstraCMS is a content management system (CMS) used by developers and website owners to manage content on websites. It is designed to be simple and lightweight, making it suitable for small to medium-sized websites. The CMS is open-source, allowing for customization and adaptation to specific needs. It is typically used to create and manage pages, blog posts, and other types of content. MonstraCMS is known for its ease of use, which makes it accessible to both beginners and experienced developers. The CMS can be extended with plugins and themes, enhancing its functionality and design.

Technology Detection refers to the identification of specific software, frameworks, or technologies used on a website. This process is fundamental for security assessments and IT auditing, helping to determine what software may be exposed to vulnerabilities. In the context of MonstraCMS, this detection allows users to know if the CMS is being used, which can influence the approach to securing the website. Understanding the technology stack is crucial for accurate risk assessment and vulnerability management. Detection usually involves analyzing HTTP headers, source code, or other web components to pinpoint specific technologies. It is an essential step in ensuring the security posture of digital assets.

Technically, the detection of MonstraCMS involves checking certain elements of a webpage that indicate its presence. This can be achieved by searching for meta tags or comments within the HTML structure of the page. In this case, the use of the phrase 'content="Powered by Monstra' within the page body is a specific pattern that indicates the usage of MonstraCMS. HTTP response status codes are also considered to confirm the accessibility of the website component being tested. Regular expressions are typically employed to extract version numbers or specific details related to the detected technology. The accuracy of detection is enhanced by combining multiple indicators, ensuring reliable results.

When the presence of MonstraCMS is identified by unauthorized individuals, it may lead to several potential risks. Attackers can tailor their exploits based on known vulnerabilities associated with this CMS. Websites using outdated versions might be particularly susceptible to attacks, including unauthorized access, data breaches, or defacement. Technology Detection also allows attackers to enumerate the software versions to find entry points into a system. Due to the open-source nature of MonstraCMS, malicious actors can study its source code to discover potential security flaws. Hence, detection poses risks regarding targeted attacks if not followed by proper security hardening.

REFERENCES

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