Java is a general-purpose language that runs a large part of enterprise web back ends on servers such as Tomcat, Jetty, WildFly and Spring Boot. AIWebsiteDetector reports Java from Server banners such as Apache-Coyote or Jetty, Servlet/JSP X-Powered-By headers, the `JSESSIONID` session cookie, relative `.jsp` links, and from a detected Spring Boot application. Servers that hide their banner and use a different session name cannot be identified from outside, so a missing result does not mean the site is not Java.
Detect Java Websites — Free Tool
Enter any URL to check if it was built with Java. Instant results, no account required.
How we detect Java — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
How to Detect Java Websites
HTTP Headers
2 patterns
Cookies
1 patterns
1. Check the Page Source
Open the website in your browser, right-click, and select "View Page Source". Search for java-specific patterns in the HTML.
4. Use AI Website Detector (Easiest)
Our automated scanner checks all these signals at once and gives you an instant confidence score. Just enter any URL above.
Frequently Asked Questions
Is this website built with Java?
You can detect if any website was built with Java by using our free scanner above. Just enter the URL and we'll analyze HTML patterns, JavaScript files, CDN domains, and HTTP headers to determine if Java was used — with a confidence score.
How to detect if a website was built with Java?
There are several ways to detect Java: (1) View the page source and look for Java-specific class names or script URLs, (2) Check the Network tab in DevTools for requests to Java CDN domains, (3) Use our free tool — we check 2 detection signals automatically.
What websites are built with Java?
Java is used by thousands of websites worldwide. Our scanner has detected many Java-built sites across different industries. You can scan any URL to check if it uses Java.
How accurate is the Java detection?
Our Java detection engine checks 2 unique fingerprint signals, achieving high confidence results. We score each match and return a confidence percentage so you know how certain the detection is.
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Detection Info
- Category
- Backend Framework
- Signals Used
- 2 patterns
- Accuracy
- High
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