[AI] Web Application External Link Detection Scanner
This scanner identifies external links within web applications by analyzing the target for URLs referencing third-party domains or assets. It helps detect unauthorized or hidden outbound links, providing visibility into potential hacklink injections, black-SEO manipulation, and unwanted external dependencies within the digital asset.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
4 days 4 hours
Scan only one
URL
Toolbox
Web applications are accessible platforms that allow users to interact with content and services over the internet. They serve as the primary interface for businesses to connect with customers and share information globally. These applications utilize Hypertext Markup Language to structure text, media, and navigational elements. A fundamental component of the web is the hyperlink, which connects one resource to another across the network. Developers use these links to reference external content, partners, or third-party services. Maintaining the integrity of these connections is vital for user experience and security.
This scanner is designed to identify and catalogue all external hyperlinks present on a specific web page. It distinguishes between internal navigation within the same domain and connections that lead to outside sources. By listing these outbound paths, the tool provides a clear view of the application's external relationships. It detects links that users might click to leave the trusted environment of the host site. This detection is essential for verifying that the application only links to intended and safe destinations. The scan covers standard anchor tags as well as other URL patterns found in the source code, helping ensure that unauthorized outbound references do not go unnoticed.
The technical execution begins by establishing a connection to the target URL using the HTTP or HTTPS protocol. Once the response is received, the scanner unescapes and decodes the HTML content to ensure accuracy. It utilizes a regular expression pattern to parse the text and extract all potential URL strings. The system then uses a domain extraction library to compare the root domain of the found link with the target's domain. If the registered domain and suffix do not match the target, the link is classified as external. Finally, the tool aggregates these unique external URLs into a comprehensive list for analysis, enabling consistent and automated monitoring of the application's outbound link structure.
Unmonitored external links can pose significant risks if the destination domains expire or are taken over by malicious actors. Attackers may exploit abandoned or hidden outbound references to host phishing pages, distribute malware, or inject content designed to manipulate search engine rankings. Compromised websites are often used in this way to plant hacklinks or perform black-SEO campaigns, where unauthorized links are embedded into the site's HTML without the owner's knowledge. Such manipulations can damage the credibility of the application, mislead users, and degrade the organization’s digital reputation. Additionally, linking to untrusted sources can expose users to offensive content or security threats such as drive-by downloads, while external links may also leak referrer data to unintended third parties. Ensuring these links are legitimate, intentional, and regularly audited helps preserve both user trust and the overall integrity of the digital asset.