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
Submint a link to video and get it metada:
Snippet (the exact date and time of publication, description, thumbnails links)
Statistics
Geolocation
Status
Content details
(also it's possible to get channel and playlist metadata)
This query search all sql-files, which contain "ivanov" in #Github
(2/12)
Sometimes in this way it's possible find databases with information about orders, customers or employees. Inattentively, site owners forget to close them from indexing in robot.txt.
Such SQL-dumps may contain names, surnames, dates of birth, addresses, phone numbers.
Now look for interesting fragments in Google or Yandex
(by the way, Yandex has a built-in cropping)
It happens that the country can be identified by the model of public transport. If the photo shows "PAZ 4234", it is most likely Russia (but maybe other CIS countries).
Check the details of the company in the official registry of the country in which it is registered (it can often be found on the website of the federal tax inspectorate)
The first thing you should do is just try searching for the file in the Yandex.Images service. In my opinion, this is the best service in the world for reverse image search.
Sometimes it is quite enough to answer the question, "Who is this? #yandex