Neocase HR Portal Panel Detection Scanner

This scanner detects the use of Neocase HR Portal Panel in digital assets. It identifies the presence of the login panel and aids in recognizing security configurations. Understanding the deployment of Neocase HR Portal can enhance asset management and risk assessment.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

16 days 21 hours

Scan only one

URL

Toolbox

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Neocase HR Portal is a comprehensive human resource management solution used by organizations to streamline and automate HR processes. It is employed by HR departments worldwide to manage employee information, benefits, payroll, and other HR functions. The portal is essential for HR professionals to access and manage data efficiently. The platform is known for its user-friendly interface and robust features that cater to various HR needs. Neocase HR Portal is deployed in enterprises of all sizes to enhance HR workflows and improve employee engagement. It is especially popular in companies seeking to digitalize and modernize their HR practices.

Panel Detection in this context refers to identifying the presence of the Neocase HR Portal's login interface. This detection helps in assessing potential security misconfigurations or unauthorized access attempts. The presence of a login panel might indicate exposed service areas that can be targeted by attackers. Ensuring the security of such entry points is crucial in protecting sensitive HR information. Detecting such panels allows security teams to review if proper configurations are in place. Regularly scanning for panel exposure is part of a proactive security strategy.

The detection targets the HTTP responses of web pages for specific indicators linked to the Neocase HR Portal. The technical vulnerability focuses on identifying a successful HTTP 200 status code along with keywords "neocase," "HR portal," and "login" in response bodies. This technique helps discover publicly accessible login panels which might otherwise go unnoticed. Such detections are valuable in security assessments to ensure web applications are not inadvertently exposed. The approach employs simple yet effective string matching to identify these characteristics. Extracting version information from web responses further aids in asset management.

If exploited, the identification of the login panel could allow for reconnaissance by malicious actors. They may use this information to attempt unauthorized access, phishing, or brute-force attacks. Once access is gained, sensitive employee information can be compromised, leading to data breaches. Unauthorized entry could disrupt HR operations and cause significant reputational damage. Organizations could also face regulatory penalties if employee data is mishandled. Therefore, securing exposed login panels is vital to maintaining overall IT and HR system integrity.

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