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rbsec Merge pull request #12 from asadath1395/fix_import_spelling
Fix Spelling mistake leads to program not being compiled
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README.md

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
-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