In this thread you will learn about 9 key services for FACE identification by photo.

I will show them using a photo of Pamela Anderson (@pamfoundation) taken in the early 90s as an example.

#osint #socmint
№1

yandex.ru/images/

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
№2

search4faces.com/vk01/index.html

Now it's possible to try to search for a person's profile in the Russian social network VK ( 1,109,563,766 faces in database).

But this method doesn't work very well with known personalities...

#VK
№3

search4faces.com/vkok/index.html

At the same time check the database of VK.com and OK.ru persons (154,934,856 faces)

#Odnoklassniki
№4

search4faces.com/tt00/index.html

Search through 125,443,334 avatars of #TikTok users
№5

search4faces.com/ch00/index.html

And through 4,594,014 #clubhouse users
№6

news.myseldon.com/en/

This service shows the score of popularity of the person in the photo, a list of recent significant events in his life and a brief biography.
№7

If only a very fuzzy image (or just an image in memory) is available, you can draw a identikit of the person

facemaker.uvrg.org

And if you try hard, a search on identikit can also help find the person (view pic)
№8

There have been a lot of facial recognition #telegram bots lately. Here's an example:

t.me/pimeyesbot

(These bots are constantly appearing, then disappearing. Their current list can be found in the global #Telegram search for "face search", "face match" etc.)
№9

Also, you should not neglect other services to search for pictures. For example:

tineye.com
pic.sogou.com
same.energy
image.so.com

There are so many of them. Try different ones until you get a result.
This thread is end. Find other image searchers, telegram bots, and face APIs in my collection of #OSINT tools:

cipher387.github.io/osint_stuff_to…

Follow @cyb_detective, to learn about new tools for facial analysis and facial recognition, as well as other tools for online research.

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More from @cyb_detective

16 Sep
Tools for gathering information about YOUTUBE videos and channels.

Thread 🧵🧵🧵 12 tweets

#osint #socmint #youtube Image
(1/12)🧵

mattw.io/youtube-metada…

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) ImageImageImageImage
(2/12)🧵

tools.digitalmethods.net/netvizz/youtub…

Submit a video id (you can find it here commentpicker.com/youtube-video-…) and download comments to it as a table (html file). Image
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13 Sep
SQL dumps (database dumps) for #OSINT

Super short practical course.

Thread🧵🧵🧵

(12 tweets)

#sql #mysql #phpmyadmin
(1/12)

In @GoogleHacking (exploit-db.com/google-hacking…) there are 176 dorks for searching SQL dumps, which may contain any confidential information.

Simple ex (pic 2):

ivanov ext:sql site:github.com

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.
Read 14 tweets
10 Sep
Today I began assembling a list that will include single programmers and small teams that develop tools for #OSINT

twitter.com/i/lists/143622…

In this thread I will tell you which of these people are working on which project (please subscribe to them and put stars on #Github) 🧵
Read 8 tweets
9 Sep
Trying to identify a country from a photo

Part 1. 12 basic tricks for outdoor photos

Thread 🧵
Step 1

The first thing to do is to break the photo up into fragments so that you can examine each one individually.

The fastest way to do this is to use online tools. For example:

iloveimg.com/crop-image

(If you have a Mac, just press Command+Shift+4)
Step 2

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).
Read 15 tweets
8 Sep
15 steps to gather information about a company.

Suitable for Fortune 500 corporations as well as the restaurant down the street.

Thread 🧵🧵🧵

#osint #corpint Image
Step 1

Gathering basic information (adress of registration, number of employes, market capitalization etc) in global business registries

opencorporates.com
craft.co

@opencorporates @Craftdotco Image
Step 2

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)

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Read 19 tweets
6 Sep
From this thread thread you will learn about 12 key #OSINT-services for gathering information about a website.

I'll show them with an example of most famous russian search engine "yandex.ru" and it's subdomains.
Step #1

Collect basic information about domain

IP address lookup, whois records, dns records, ping, traceroute, NSlookup.

centralops.net
Step 2

Find out what technology was used to create the site: frameworks, #javascript libraries, analytics and tracking tools, widgets, payment systems, content delivery networks etc.

builtwith.com
Read 14 tweets

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