CeWL

CeWL generates wordlists by spidering a target website, producing target-specific dictionaries. Crunch generates wordlists from character sets and patterns without needing a website. Use CeWL when you have a web target; use Crunch for pattern-based generation like PINs or specific formats.

Yes. CeWL can generate custom wordlists from target websites that work well for WPA cracking. Spider the target's public website, then feed the output into aircrack-ng: aircrack-ng -w cewl_output.txt capture.cap. Target-specific words often yield better results than generic WPA wordlists.

The -d flag controls how many links deep the spider follows from the starting URL. Depth 0 scrapes only the initial page, depth 1 follows one level of links, depth 2 follows two levels, and so on. Higher depths capture more content but take longer and may produce very large wordlists.

First generate the wordlist with CeWL: cewl http://example.com -w wordlist.txt. Then crack with Hashcat using rules for mutations: hashcat -m 0 hashes.txt wordlist.txt -r rules/best64.rule. The rules append numbers, symbols, and capitalization variations to base words.

CeWL works on live websites only, but you can save pages offline and process them with the -f flag: cewl -f saved_page.html -w wordlist.txt. This is useful for creating phishing target wordlists from previously downloaded content or archived pages.

Not necessarily. Quality matters more than size. A focused wordlist from depth 2-3 with -m 5 filtering often cracks more passwords than an unfiltered list with thousands of irrelevant words. Use -c to check word frequency and prioritize high-occurrence terms.

CeWL (Custom Word List generator) is a Ruby-based tool that spiders target websites and generates custom wordlists from the content it finds. It creates dictionaries containing words specific to the target organization for more effective password attacks.

Run CeWL against the target website: cewl http://target.com -w wordlist.txt. Then feed the output into John or Hashcat with rules: john --rules --wordlist=wordlist.txt hashes.txt. The rules mutate base words into common password variations.

Yes. Use the -e flag to extract email addresses: cewl http://target.com -e --email_file emails.txt. This is useful for username enumeration and building login credential lists.

Depth depends on the target website size. Use -d 2 for small sites, -d 3 for medium sites, and -d 4 for large sites with deep navigation. Too shallow misses words; too deep takes too long.

CeWL cannot authenticate to websites. It only crawls publicly accessible pages. If important content is behind authentication, use tools that can handle authenticated sessions or request access to a test environment.

Use cat to merge CeWL output with rockyou.txt or other base wordlists: cat cewl_output.txt rockyou.txt | sort -u > combined.txt. The -u flag removes duplicates for a clean, combined wordlist.

The -m flag sets the minimum word length: cewl -m 6 http://target.com. Words shorter than the minimum are excluded, reducing noise from short or irrelevant words in the generated list.

Use the --exclude flag with regex patterns to filter unwanted words: cewl --exclude='^(test|admin)' http://target.com. This is useful for removing generic or irrelevant terms.

Yes, CeWL follows links up to the configured depth. Use -d to set depth and -w to specify the output file. For multiple starting URLs, run CeWL separately for each or use a script to combine results.

Use --meta for meta tag extraction, --email for email addresses, and --lowercase for converting all words to lowercase. These flags help focus the wordlist on specific content types.

CeWL cannot render JavaScript. For JavaScript-heavy sites, use a headless browser to render the page first, save the HTML, then run CeWL on the saved file using the -f flag for file input.

Increase spider depth (-d 3-4), set minimum word length (-m 4), use --lowercase for consistency, and combine with rule-based cracking tools to generate variations from base words.

No, CeWL cannot authenticate to pages behind login forms. For authenticated content, use tools that support session cookies (like Burp Suite) to capture authenticated content, then run CeWL on the saved HTML files.

Use the --meta flag to extract words from HTML meta tags: cewl --meta http://target.com. This captures keywords that webmasters include for SEO, which are often relevant to the organization's vocabulary.

CeWL works on URLs, so if you can capture the HTML content from a mobile app's API endpoints or web views, you can feed the saved HTML to CeWL using the -f flag for file input.

Use -m to set minimum word length and -M for maximum: cewl -m 4 -M 15 http://target.com. This filters out very short words (like 'a', 'to') and very long words that are unlikely to be passwords.

Yes, use the -f flag for file input: cewl -f local_page.html -w wordlist.txt. This is useful for processing pre-downloaded content, API responses, or JavaScript-rendered pages captured with a browser.

Use the --count flag to include word frequency counts in the output: cewl --count http://target.com. Words appearing more frequently on the target site may be more likely to be used in passwords.

No, CeWL extracts text words and email addresses only. For phone number extraction, use custom scripts or specialized OSINT tools. CeWL is optimized for wordlist generation, not comprehensive data extraction.