Find out what technology was used to create the site: frameworks, #javascript libraries, analytics and tracking tools, widgets, payment systems, content delivery networks etc.
Get a list of sites belonging to the same owner (having the same Yandex.Metrika and Google Analytics counter numbers, as well as other common identifiers)
Download documents (PDF, docx, xlsx, pptx) from the site and analyze their metadata. This way you can find the names of the organization's employees, user names in the system and emails.
Looking for old versions of the site in archives and caches of search engines (sometimes in this way you can find addresses and contact information of the owners, which are currently already hidden from the site).
Partially automate the process of finding important data in the archives. Download archive copies of pages from web.archive.org with Waybackpack github.com/jsvine/wayback…
Search it for phone numbers, emails and nicknames using Grep for OSINT github.com/cipher387/grep…
Step 12
Find out the approximate geographical location of the site
A repository with text files containing a million dorks for finding potentially vulnerable web pages and sensitive data (in Google and other search engines).
- search engines
- AI image editing tools to enhance the quality of search results
- how to reverse face image search without photos
- quick face search on video
- protect yourself
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#osint #socmint
When searching on Google, use not only Lens, but also the OLD image search (which gives very different results). You can access it using this tool:
A very good tool for searching for faces and images in general, which is often more effective than Google. It also recognises text in images and translates it.
Is it possible to use neural networks to create a whole series of photos of one person for a fake social network profile ("sock puppet")?
I show by examples the possible way of solving the problem (this is not an easy way ).
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In order to successfully pretend to be another person on the Internet, you need a series of photos in different places and different clothes. But it's a lot of work to make these (even with AI).
But often this leads to poor quality results. But for some situations it is quite good.
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It is better to extract text from a presentation so you can translate it later with more advanced translators. This can be done with the help of these services: