From this thread 🧵 you will learn about 12 key #OSINT-services for gathering information about a certain location.

I'll show it an example of this place:

Bürglenstrasse, 3006 Bern, Switzerland
46.944560,7.467839

(coordinates are defined by latlong.net/convert-addres…) Image
Step 1 app.skylens.io

Get geolocated posts from #Twitter, #YouTube, #Instagram, #Flickr, #VK (for the last two weeks)

Read about how to get older data below in the thread Image
Step 2

mattw.io/youtube-geofin…

Search for #YouTube videos on the map, with the ability to filter videos by publication date, duration, channel name and other parameters. Image
Step 3

photo-map.ru

Search geolocated photos in #VK.

It is possible to filter by user's gender and marital status Image
Step 4

onemilliontweetmap.com

View geolocated tweets Image
Step 5

View geotagged photos on #Flickr

flickr.com/map Image
Step 6

View geolocated retro photos (from 1826 to 2000)

pastvu.com Image
Step 7

Learn information about significant and interesting architectural sites nearby.

emporis.com/buildings/map Image
Step 8

See images from nearby surveillance cameras

webcamtaxi.com/en/map.html Image
Step 9

Examining data from the public cadastral map

cipher387.github.io/collection_of_…
map.geo.admin.ch Image
Step 10

We research weather conditions in detail and, if necessary, obtain data from the past (for the past two years)

ventusky.com Image
Step 11

See what air routes pass over the city.

globe.adsbexchange.com
Step 12

We study the routes of public transport that pass near the place under study.

tracker.geops.ch
cipher387.github.io/public_transpo… Image
This thread is end.

But it tells only a small fraction of the information that can be gathered by location. There are also local conflicts, forest fires, lightning strikes, cats living next door...

More interesting maps at

cipher387.github.io/osint_stuff_to…

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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
Read 14 tweets
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)

cipher387.github.io/corporative_re… (63 countries) Image
Read 19 tweets
7 Sep
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
Read 12 tweets

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