Probable_Subdomains is a Subdomains Analysis And Generation Tool
Online tool: https://weakpass.com/generate/domains
During bug bounties, penetrations tests, red teams exercises, and other great activities, there is always a room when you need to launch amass, subfinder, sublister, or any other tool to find subdomains you can use to break through – like test.google.com, dev.admin.paypal.com or staging.ceo.twitter.com. Within this repository, you will be able to find out the answers to the following questions:
And, of course, wordlists for all of the questions above!
As sources, I used lists of subdomains from public bugbounty programs, that were collected by chaos.projectdiscovery.io, bounty-targets-data or that just had responsible disclosure programs with a total number of 6831 domains! If subdomains appear more than in 5-10 different scopes, they will be put in a certain list. For example, if dev.stg appears both in *.google.com and *.twitter.com, it will have a frequency of 2. It does not matter how often dev.stg appears in *.google.com. That’s all – nothing more, nothing less.
In these lists you will find most popular subdomains as is.
Name | Words count | Size |
---|---|---|
subdomains.txt.gz | 24837884 | 522MB |
subdomains_top100.txt | 100 | 655B |
subdomains_top1000.txt | 1000 | 6.9KB |
subdomains_top10000.txt | 10000 | 72KB |
In these lists, you will find the most popular words from subdomains split by levels. F.E – dev.stg subdomain will be split into two words dev and stg. dev will have level = 2, stg – level = 1. You can use these wordlists for combinatory attacks for subdomain searches. There are several types of level.txt wordlists that follow the idea of subdomains.
Name | Words count | Size |
---|---|---|
level_1.txt.gz | 7703788 | 148MB |
level_2.txt.gz | 11379683 | 131MB |
level_3.txt.gz | 1158515 | 14MB |
level_4.txt.gz | 179719 | 2.7MB |
level_5.txt.gz | 73384 | 860KB |
level_1_top100.txt | 100 | 620B |
level_1_top1000.txt | 1000 | 6.3K |
level_2_top100.txt | 100 | 550B |
level_2_top1000.txt | 1000 | 5.8KB |
level_3_top100.txt | 100 | 553B |
level_3_top1000.txt | 1000 | 5.2KB |
level_4_top100.txt | 100 | 530B |
level_4_top1000.txt | 1000 | 5.1KB |
level_5_top100.txt | 100 | 444B |
level_5_top1000.txt | 1000 | 5.1KB |
In these lists, you will find the most popular splitted words from subdomains on all levels. For example – dev.stg subdomain will be splitted in two words dev and stg.
Name | Words count | Size |
---|---|---|
words.txt.gz | 20305456 | 293MB |
words_top100.txt | 100 | 596B |
words_top1000.txt | 1000 | 5.6KB |
words_top10000.txt | 10000 | 62KB |
You can download all the files from Dropbox
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