In Bugbounties “If you are not first , then you are last” there is no such thing as silver or a bronze medal , Recon plays a very crucial part and if you can detect/Identify a newly added asset earlier than others then the chances of you Finding/Reporting a security flaw on that asset and getting rewarded for the same are higher than others.

Personally I am monitoring CT logs for domains/subdomains for quite a long time now and it gave me a lot of successful results , The inspiration behind this was “Sublert : By yassineaboukir” which checks for subdomains and can be executed periodically , However I am using somewhat different approach and instead of looking into periodically, I am extracting domains from Live CT log feeds , So chances of me finding a new asset earlier is higher as compared to others.

Detailed Description about this can be found here :

Read Blog here :

  • Monitoring Real Time CT log feed and extracting the domain names from that feed
  • Matching the extracted subdomains/domains against the domains/Keywords to be matched
  • Sending a Slack notification if a domain name matches

Requirements :
  • A VPS (UNIX up and running)
  • Python 3x (Tested with Python 3.6.9)
  • Slack Workspace (optional)


I am assuming that you have already done with your setup of slack workspace .

Now Create a channel named “subdomain-monitor” and set up a incoming webhook

Enabling Slack Notifications :

Edit config.yaml file and paste your slack webhook URL there , It should look something like this

Keywords and domains to match :

You can specify keywords and domains to match in domains.yaml file , You can specify names

For Matching subdomains :

Note : Notice that preceding dot [ . ]

Lets take “” as example , domains extracted from Real time CT logs will be matched against the word “” , if matched they will be logged in our output file (found-domains.log) . The thing to note here is , It will give some false positives like “” , “” but we can filter out them later on by using use regex magic

For Matching domains/subdomains with specific keywords :

Lets assume that you want to monitor and log domains/subdomains that are having word “hackerone” in them , then our domains.yaml file will look something like this 

Now all the extracted domains/subdomains that are having word “hackerone” in them will be matched and logged (and a slack notification will be sent to you for the same)

Okay we are done with our initial setup , Lets install the required dependencies and run our tool

$ pip3 install -r requirements.txt

$ python3

Matched domains will look like this :


Slack Notifications will look like this :

Output files :

The program will keep on running all the matched domains will be saved under output directory in found-domains.log file

Strict Warning : Do not monitor assets of any organisation without prior consent



Phishing Catcher


Shoot my DM : @0xAsm0d3us

#Offtopic but Important

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