CookieYes Cookie Banner Detection Scanner

This scanner detects the use of CookieYes – Cookie Banner for Cookie Consent in digital assets. It helps in identifying the presence of this WordPress plugin for ensuring compliance with GDPR and CCPA regulations.

Short Info


Level

Informational

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

13 days 9 hours

Scan only one

URL

Toolbox

-

The CookieYes – Cookie Banner for Cookie Consent is a popular WordPress plugin used by website administrators to provide a GDPR and CCPA compliant cookie consent notice. This plugin is designed to help websites achieve compliance by allowing users to opt-in or opt-out of tracking cookies. It is favored by businesses and websites dealing with European or Californian users due to its ease of use and effective compliance features. The plugin displays a customizable cookie banner and offers functionalities for granular consent management. It is widely utilized across varying industries, from e-commerce to blogging, to ensure legal compliance and maintain user trust. The plugin's adaptability and user-friendly interface further increase its prevalence among WordPress site operators.

The primary vulnerability checked by this scanner is the detection of the plugin's presence on a WordPress site. This type of detection does not indicate a traditional security flaw but identifies whether the plugin is actively used. Such detection capabilities are crucial for IT administrators to catalog the technologies in use and ensure that they remain updated against security advisories. Recognizing the active plugins within a website helps mitigate risks associated with outdated software and non-compliance issues.

The scanner searches for specific indicators within the WordPress site to ascertain the plugin's implementation. Technically, it involves matching patterns in paths like "/wp-content/plugins/cookie-law-info/readme.txt" and analyzing version information from plugin metadata files. Such technical detail is essential for accurate detection without false positives. Employing regex and pattern matching, the scanner finds and reports on the plugin, helping administrators create inventories of their site's components.

If this vulnerability is exploited, it can lead to inaccurate technology mapping and increase security management challenges. While the plugin itself is not inherently vulnerable, its detection is critical; a lack of updated tracking can lead to older versions potentially being exploited if they are insecure or misconfigured. Moreover, accurate detection assists in governance and ensures adherence to data protection laws by highlighting outdated or missing plugins. Knowing which version is running can aid in facilitating updates and maintaining compliance across digital assets.

REFERENCES

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