dnscan
dnscan is a python wordlist-based DNS subdomain scanner.
The script will first try to perform a zone transfer using each of the target domain's nameservers.
If this fails, it will lookup TXT and MX records for the domain, and then perform a recursive subudomain scan using the supplied wordlist.
Usage
dnscan.py (-d <domain> | -l <list>) [OPTIONS]
Mandatory Arguments
-d --domain Target domain; OR
-l --list Newline separated file of domains to scan
Optional Arguments
-w --wordlist <wordlist> Wordlist of subdomains to use
-t --threads <threadcount> Threads (1 - 32), default 8
-6 --ipv6 Scan for IPv6 records (AAAA)
-z --zonetransfer Perform zone transfer and exit
-r --recursive Recursively scan subdomains
-R --resolver <resolver> Use the specified resolver instead of the system default
-T --tld Scan for the domain in all TLDs
-o --output <filename> Output to a text file
-i --output-ips <filename> Output discovered IP addresses to a text file
-v --verbose Verbose output
-h --help Display help text
Wordlists
A number of wordlists are supplied with dnscan.
The first four (subdomains-100.txt, subdomains-500.txt, subdomains-1000.txt and subdomains-10000.txt) were created by analysing the most commonly occuring subomdains in approximately 86,000 zone files that were transferred as part of a separate research project. These wordlists are sorted by the popularity of the subdomains (more strictly by the percentage of zones that contained them in the dataset).
The subdomain-uk-500.txt and subdomain-uk-1000.txt lists are created using the same methodology, but from a set of approximately 180,000 zone transfers from ".uk" domains.
The final (and default) wordlist (subdomains.txt) is based on the top 500 subdomains by popularity and the top 500 UK subdomains, but has had a number of manual additions made based on domains identified during testing.
This list is sorted alphabetically and currently contains approximately 770 entries.
TLD Scanning
The -T (--tld) option can be used to scan for all of the TLDs a specific domain name exists in. By default it will use the tlds.txt list, which contains all of the TLDs listed by IANA (including new TLDs). You can also specify a custom wordlist with -w. The suffixes.txt file included is a cut-down version of the public suffix list, so will include most of the second level domains (such as co.uk).
Note that when you use this option, you should only specify the base of the domain name ("github", not "github.com").
Setup
Run the following command to install dependencies:
$ pip install -r requirements.txt