> For the complete documentation index, see [llms.txt](https://wiki.pentestlist.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wiki.pentestlist.com/offensive-security/web-application/discovery/web-content-discovery.md). # Web Content Discovery ## Web Application Content Discovery ### FeroxBuster feroxbuster uses brute force combined with a wordlist to search for web content. These resources may store sensitive information about web applications and operational systems, such as source code, credentials, internal network addressing, etc. * The following command will execute a rate limited web brute force using a wordlist of your choosing. It will present as a web browser and filter out unwanted status codes, like HTTP 404. Adjust the **--filter-lines** value after the first run, when you can determine how many lines a false positive page contains. `./feroxbuster -k -u --rate-limit 100 --scan-limit 1 -a 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36' --filter-status 404,403,400,503,401,429 --extract-links -w -n -t 100 --filter-lines 0` You may consider using content discovery wordlists from the following sources: * ## API Content Discovery ### KiteRunner Kiterunner is a tool that is capable of performing traditional content discovery but also bruteforcing routes/endpoints in modern applications that use APIs. * The following command will use the default Assetnote wordlist and filter out any unwanted status codes, like HTTP 404. Adjust the **--ignore-length** value after the first run, when you can determine how many lines a false positive page contains. `./kr scan -A=apiroutes-240128 --fail-status-codes 400,401,404,403,501,502,426,411 --ignore-length 999999` You may consider using content discovery wordlists from the following sources: * --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://wiki.pentestlist.com/offensive-security/web-application/discovery/web-content-discovery.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.