S4E

CVE-2022-43016 Scanner

Detects 'Cross-Site Scripting (XSS)' vulnerability in OpenCATS affects v. 0.9.6.

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Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 sec

Time Interval

696 sec

Scan only one

Domain, Ipv4

Toolbox

-

OpenCATS is an open-source software designed to help businesses manage their recruitment processes efficiently. The system is free of charge and can be customized according to the company's unique requirements. OpenCATS is ideal for small and medium-sized enterprises, as it allows them to streamline and automate their recruitment procedures while keeping costs low. It is a user-friendly platform that offers all the necessary features to manage resumes, conduct interviews, and perform applicant tracking.

One of the vulnerabilities recently detected in OpenCATS is CVE-2022-43016, a reflected cross-site scripting (XSS) vulnerability via the callback component. This vulnerability allows attackers to inject malicious code into a web page viewed by other users. It can be triggered by a link or a specially crafted URL containing a script that will execute when clicked. The XSS attack could be used by cybercriminals to hijack a session, steal user credentials, or steal sensitive data.

Exploiting this vulnerability could lead to a data breach, which could be costly for businesses and damaging to their reputation. Attackers could obtain sensitive data, such as employee or customer information, which could be sold on the dark web or used for identity theft. The loss of confidential data could result in legal liability issues, regulatory penalties, and financial losses.

Thanks to the pro features of the s4e.io platform, businesses can easily and quickly learn about vulnerabilities in their digital assets. The platform provides comprehensive vulnerability scanning, reporting, and management, enabling companies to identify and address security flaws before they can be exploited. With s4e.io, businesses can protect their systems and ensure the safety of their data.

 

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