S4E

CVE-2022-0150 Scanner

CVE-2022-0150 scanner - Cross-Site Scripting (XSS) vulnerability in Accessibility Helper (WAH) plugin for WordPress

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

29 days

Scan only one

URL

Toolbox

-

The WP Accessibility Helper (WAH) plugin for WordPress is a tool designed to make websites more accessible to people with disabilities. It provides a range of features such as text resizing, color contrast adjustment, and keyboard navigation options, among others. The plugin aims to assist website owners in complying with web accessibility standards, which can improve their user experience and help them reach a wider audience.

However, the WAH plugin has recently been found to have a serious vulnerability, known as CVE-2022-0150. This vulnerability occurs when the plugin does not sanitize and escape a parameter called wahi before outputting its base64 decode value. This leaves the plugin open to a Reflected Cross-Site Scripting (XSS) attack, where an attacker could inject malicious code into a user's session by sending them a specially crafted link.

If exploited, this vulnerability can lead to a range of negative consequences, including the theft of sensitive information or identities, the spread of malware, and even the complete takeover of a website. In some cases, an XSS attack can also be used to gain access to an organization's internal network, leading to even further compromise.

In conclusion, the WAH plugin vulnerability has the potential to pose a significant threat to website owners and their users. However, by taking appropriate precautions and staying informed about the latest security threats, website owners can minimize their risk and ensure that their sites remain safe and accessible to all users. With the pro features of s4e.io, website owners can easily and quickly learn about vulnerabilities in their digital assets, enabling them to take swift action and protect their websites from potential attacks.

 

REFERENCES

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