OpenCATS Panel Detection Scanner

OpenCATS - Detection Scanner

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

-

OpenCATS is a popular open-source applicant tracking system used by recruitment agencies, HR departments, and small to medium-sized businesses to manage hiring processes. It allows for the seamless processing of job applications, interview scheduling, and communicating with potential hires. Organizations value the software for its customizable features and the potential to integrate with other systems. Users can access the platform via a web interface to perform various tasks related to recruiting and applicant management. It offers a centralized database for all applicant information and eases administrative tasks associated with recruitment. The software is continuously updated and maintained by an active community of developers.

The vulnerability detected by this scanner relates to the discovery of the OpenCATS login panel. Detecting this panel indicates a point of entry that could potentially disclose sensitive information. The vulnerability is linked mainly to the exposure of an administrative interface to the internet without additional security measures. This scenario can lead to a potential information disclosure issue if an attacker gains knowledge of protected interfaces. The vulnerability is considered an Information Disclosure issue, as identified by the CWE-200 classification. It is essential to protect such endpoints from unauthorized access to safeguard the information within.

The technical aspect of the vulnerability involves checking for specific indicators on a web page, such as the presence of "<title>opencats - Login</title>" and "<!-- CATS_LOGIN -->". These elements suggest that the OpenCATS login page is accessible and potentially exposed publicly. The endpoint commonly targeted is the default login URL path where the OpenCATS application resides. Successful detection occurs when these elements are found in conjunction with receiving a 200 status code. Users should minimize exposing this configuration to avoid misuse by malicious parties.

If exploited, unauthorized users could gain access to the administration panel, leading to potential leakage of sensitive applicant data. This could compromise the confidentiality of the information stored and result in breaches of data protection laws and regulations. Additionally, it may lead to disruptions in recruitment processes if sensitive information is altered or deleted. Addressing such vulnerabilities is crucial for maintaining the integrity of the recruitment system and protecting the data of applicants.

REFERENCES

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