Thank you everyone - http://c4o2ieqnotifgxuwbvanlrc7uyaclbsasqvzaqrz4amxrpipwvq3r7yd.onion/

Folks. I recently did my malicious software and RATs technical collection compilation for 2023-2025 using public sources only. It's 58GB. Drop me a line dancho.danchev@hush.com if you want or need this.

Thank you everyone - http://c4o2ieqnotifgxuwbvanlrc7uyaclbsasqvzaqrz4amxrpipwvq3r7yd.onion for all the feedback and traffic. I figured that this is probably the most flexible way for me to communicate in the best possible form what I'm up to. Including the downloads. You can reach me on Tox ID - 53B409440A6DC34F1BA458869A0462D92C15B467AF6319D481CA353690C88667833A0EE82969 if you want to catch up with me or using ConfidantMail at ddanchev@confidantmail.org 81191f370ff5cacd67b94f63f0ff7787c03c1167 thank you everyone and stay tuned.

Does anyone have experience in whistleblowing in cybersecurity? Can you refer or make an introduction? Thank you. Dancho.

https://ddanchev.blogspot.com

Who can securely host a personal bio-like Dark Web Onion for me? It's approximately 100GB and is prone to expand? PM me here or drop me a line dancho.danchev@hush.com

Looking for investor or partner to bring this into a product or a service reality. One cTLD. sql database sample available for demonstration on request. Drop me a line dancho.danchev@hush.com

Dear folks. Great stuff. I just grabbed the full 340M registered domains on the Internet list using a commercial service and I'm starting to process all the country based cTLDs for starters and then proceeding with the remaining top level domains. I'm specifically curious about whether this would fit my storage capacity but I would have expanded it for the purpose of this personal project by the time I begin processing the top level domains. My biggest concern so far is to have a working prototype while doing this so that I can concentrate on finding and processing the active cTLD domains including the top level domains. I also came up with a demonstration service on my own where the project will process a domain in real time hash it and then compare the findings with the results from the local MySQL database and present the findings. I'll keep you posted.

https://ddanchev.blogspot.com/2025/06/looking-for-python-developer-or-team-of.html

Dear folks. I've been making big time progress with my Python based Web Forensics Hash project. I've already started covering multiple cTLDs where I'm using a commercial service to obtain access to all the currently registered and active domains there. I was thinking about presenting the idea as a product and as a service and I'm currently working on a lot of new features and actually working on the actual database. The best part is that I've confirmed that the prototype which I did on my own including several versions of the Flask web application work which means that I can now move on to the next cTLD and include it in the database. I've been also thinking having a demonstration feature for guests of the service where the idea is to have them enter a domain they're interested in finding other related domains about using hash similarities based the database which I'm working on and crawl it in real-time and compare the real-time findings with the database and present the results which I already did and I called it "Hash a Web Site" and it works. If you want to contribute drop me a line dancho.danchev@hush.com I'll keep you posted

Dear folks. I've been making big time progress with my Python based Web Forensics Hash project. I've already started covering multiple cTLDs where I'm using a commercial service to obtain access to all the currently registered and active domains there. I was thinking about presenting the idea as a product and as a service and I'm currently working on a lot of new features and actually working on the actual database. The best part is that I've confirmed that the prototype which I did on my own including several versions of the Flask web application work which means that I can now move on to the next cTLD and include it in the database. I've been also thinking having a demonstration feature for guests of the service where the idea is to have them enter a domain they're interested in finding other related domains about using hash similarities based the database which I'm working on and crawl it in real-time and compare the real-time findings with the database and present the results which I already did and I called it "Hash a Web Site" and it works. If you want to contribute drop me a line dancho.danchev@hush.com I'll keep you posted

Dear folks. I've been making big time progress with my Python based Web Forensics Hash project. I've already started covering multiple cTLDs where I'm using a commercial service to obtain access to all the currently registered and active domains there. I was thinking about presenting the idea as a product and as a service and I'm currently working on a lot of new features and actually working on the actual database. The best part is that I've confirmed that the prototype which I did on my own including several versions of the Flask web application work which means that I can now move on to the next cTLD and include it in the database. I've been also thinking having a demonstration feature for guests of the service where the idea is to have them enter a domain they're interested in finding other related domains about using hash similarities based the database which I'm working on and crawl it in real-time and compare the real-time findings with the database and present the results which I already did and I called it "Hash a Web Site" and it works. If you want to contribute drop me a line dancho.danchev@hush.com I'll keep you posted

Dear folks. I've been making big time progress with my Python based Web Forensics Hash project. I've already started covering multiple cTLDs where I'm using a commercial service to obtain access to all the currently registered and active domains there. I was thinking about presenting the idea as a product and as a service and I'm currently working on a lot of new features and actually working on the actual database. The best part is that I've confirmed that the prototype which I did on my own including several versions of the Flask web application work which means that I can now move on to the next cTLD and include it in the database. I've been also thinking having a demonstration feature for guests of the service where the idea is to have them enter a domain they're interested in finding other related domains about using hash similarities based the database which I'm working on and crawl it in real-time and compare the real-time findings with the database and present the results which I already did and I called it "Hash a Web Site" and it works. If you want to contribute drop me a line dancho.danchev@hush.com I'll keep you posted

So here it goes. I just covered one cTLD. Confirmed that the prototype works. The cTLD is 30,000 and with three recrawls the SQL database is 6GB for 30,000 domains. There are currently 283,000,000 registered domains globally. And there are also 350,000 new registered domains daily. So this is 1,698,000,000GB for all the domains. And 1698000 petabytes for everything without the real time crawling and updates and the 350,000 new daily domains. I'm very inspired and I'm looking for a hosting provider.

I'm looking for a Python developer or a team of Python developers that can help me with my personal project in their spare time? I have a working backend prototype that works a local MySQL database and a Flask web application where I'm interested in bringing my project idea professionally into reality with your experience and expertise. Drop me a line dancho.danchev@hush.com

I'm looking for a Python developer or a team of Python developers that can help me with my personal project in their spare time? I have a working backend prototype that works a local MySQL database and a Flask web application where I'm interested in bringing my project idea professionally into reality with your experience and expertise. Drop me a line dancho.danchev@hush.com

I'm looking for a Python developer or a team of Python developers that can help me with my personal project in their spare time? I have a working backend prototype that works a local MySQL database and a Flask web application where I'm interested in bringing my project idea professionally into reality with your experience and expertise. Drop me a line dancho.danchev@hush.com

Dear folks. I have some big news to announce. My clearnet Web Forensics hashing and the identification of unique domains sharing the same similarities is going strong. I have spend the past one week actively working on the initial prototype which I intend to continue working on and improving with the idea to use it to scale the project. I also did the first important part of the project which I believe is to cover one sample cTLD including all the domains for a specific country which I already did to both figure out the actual storage requirements for the actual hard work and beginning of the implementation of the project on a large scale to ultimately end up covering all the currently active and also newly registered domains globally where I'm using and relying on a variety of services and my personal knowledge and experience in this space to make it happen. I have managed to identify multiple sites within the specific cTLD which are known to be directly related and connected based on some research now with the true power of the Clearnet Web Forensics hashing and identification of unique domains sharing the same similarities project which I'm doing on my own.

I'm continuing to process the following:

Content MD5 Matches
Content SHA1 Matches
Content SHA256 Matches
DOM Tree SHA256 Matches
CSS Style SHA256 Matches
JS Functionality SHA256 Matches
Image pHash Matches
Image dHash Matches
Image aHash Matches
Image wHash Matches
HTML Title SHA256 Matches
Robots.txt SHA256 Matches
Sitemap.xml SHA256 Matches
Header Content SHA256 Matches
Body Content SHA256 Matches
AdSense ID SHA256 Matches
Adserver Domains SHA256 Matches
Google GA4 SHA256 Matches
Favicon MD5 Matches
Favicon Path SHA256 Matches
Favicon2 MD5 Matches
Favicon2 Path SHA256 Matches
Legal Text SHA256 Matches
DOM Element Counts SHA256 Matches
Form Field Types SHA256 Matches
CSS Selector Paths SHA256 Matches
Font/Color Scheme SHA256 Matches
Interactive Element Events SHA256 Matches
External Resource Domains SHA256 Matches
Meta Tags SHA256 Matches

The next step which I'm currently working on would be to move on with the next cTLD where the ultimate goal is to soon offer global coverage for all the currently active domains including all the newly registered domains daily using a service which I rely on including several other sources where to ultimate goal would be to present the big picture.

Yours sincerely,
Dancho

Dear folks. I have some big news to announce. My clearnet Web Forensics hashing and the identification of unique domains sharing the same similarities is going strong. I have spend the past one week actively working on the initial prototype which I intend to continue working on and improving with the idea to use it to scale the project. I also did the first important part of the project which I believe is to cover one sample cTLD including all the domains for a specific country which I already did to both figure out the actual storage requirements for the actual hard work and beginning of the implementation of the project on a large scale to ultimately end up covering all the currently active and also newly registered domains globally where I'm using and relying on a variety of services and my personal knowledge and experience in this space to make it happen. I have managed to identify multiple sites within the specific cTLD which are known to be directly related and connected based on some research now with the true power of the Clearnet Web Forensics hashing and identification of unique domains sharing the same similarities project which I'm doing on my own.

I'm continuing to process the following:

Content MD5 Matches
Content SHA1 Matches
Content SHA256 Matches
DOM Tree SHA256 Matches
CSS Style SHA256 Matches
JS Functionality SHA256 Matches
Image pHash Matches
Image dHash Matches
Image aHash Matches
Image wHash Matches
HTML Title SHA256 Matches
Robots.txt SHA256 Matches
Sitemap.xml SHA256 Matches
Header Content SHA256 Matches
Body Content SHA256 Matches
AdSense ID SHA256 Matches
Adserver Domains SHA256 Matches
Google GA4 SHA256 Matches
Favicon MD5 Matches
Favicon Path SHA256 Matches
Favicon2 MD5 Matches
Favicon2 Path SHA256 Matches
Legal Text SHA256 Matches
DOM Element Counts SHA256 Matches
Form Field Types SHA256 Matches
CSS Selector Paths SHA256 Matches
Font/Color Scheme SHA256 Matches
Interactive Element Events SHA256 Matches
External Resource Domains SHA256 Matches
Meta Tags SHA256 Matches

The next step which I'm currently working on would be to move on with the next cTLD where the ultimate goal is to soon offer global coverage for all the currently active domains including all the newly registered domains daily using a service which I rely on including several other sources where to ultimate goal would be to present the big picture.

Yours sincerely,
Dancho

Dear folks. I have some big news to announce. My clearnet Web Forensics hashing and the identification of unique domains sharing the same similarities is going strong. I have spend the past one week actively working on the initial prototype which I intend to continue working on and improving with the idea to use it to scale the project. I also did the first important part of the project which I believe is to cover one sample cTLD including all the domains for a specific country which I already did to both figure out the actual storage requirements for the actual hard work and beginning of the implementation of the project on a large scale to ultimately end up covering all the currently active and also newly registered domains globally where I'm using and relying on a variety of services and my personal knowledge and experience in this space to make it happen. I have managed to identify multiple sites within the specific cTLD which are known to be directly related and connected based on some research now with the true power of the Clearnet Web Forensics hashing and identification of unique domains sharing the same similarities project which I'm doing on my own.

I'm continuing to process the following:

Content MD5 Matches
Content SHA1 Matches
Content SHA256 Matches
DOM Tree SHA256 Matches
CSS Style SHA256 Matches
JS Functionality SHA256 Matches
Image pHash Matches
Image dHash Matches
Image aHash Matches
Image wHash Matches
HTML Title SHA256 Matches
Robots.txt SHA256 Matches
Sitemap.xml SHA256 Matches
Header Content SHA256 Matches
Body Content SHA256 Matches
AdSense ID SHA256 Matches
Adserver Domains SHA256 Matches
Google GA4 SHA256 Matches
Favicon MD5 Matches
Favicon Path SHA256 Matches
Favicon2 MD5 Matches
Favicon2 Path SHA256 Matches
Legal Text SHA256 Matches
DOM Element Counts SHA256 Matches
Form Field Types SHA256 Matches
CSS Selector Paths SHA256 Matches
Font/Color Scheme SHA256 Matches
Interactive Element Events SHA256 Matches
External Resource Domains SHA256 Matches
Meta Tags SHA256 Matches

The next step which I'm currently working on would be to move on with the next cTLD where the ultimate goal is to soon offer global coverage for all the currently active domains including all the newly registered domains daily using a service which I rely on including several other sources where to ultimate goal would be to present the big picture.

Yours sincerely,
Dancho