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Sep 9, 2021 15 tweets 8 min read Read on X
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).
Step 3

Be sure to study all the inscriptions on the photo.

Yandex.Images can automatically recognize text and immediately translate it into the language set in your browser.

(to see the original text and know its language, click on the button "Translate")
Step 4

Now we have to study the autobill numbs. If you can see the country code, google it.

If only the flag is visible, then use flagid.org. First answer the questions on the number, stripes of stars, etc., and then choose from the appropriate options.
Step 5

If only part of the number is visible without the area code and flag, go to
worldlicenseplates.com
and try to find a similar design.
Step 6

It is also worth taking a closer look at the road signs.

Sometimes you can tell the country from them without Google (e.g., a kangaroo warning).

Pic1 source (frontsigns.com/blog/the-diffe…)

And sometimes you have to use comparative definers (pic 2, @wikipedia)
Step 7

Look closely at the road markings.

This will narrow down the range of possible countries.

For example, double yellow verge lines uses only in UK.

@google help you
Step 8

Also look closely at the signs indicating the distance to the cities. For example:
London 50 miles, Oxford 15 miles.

At jopf.re/osmaps-radius/, you can draw circles with a given radius from the center of the two cities and see where they approximately intersect.
Step 9

Use identify.plantnet.org to identify plants on the picture.

(Yandex.Images are also good at this task)

(maize = corn)
Step 10

It this plants grows on agricultural land, then go to USDA (USA Department of Agriculture) site and search interactive map, which shows regions, where this plant cultivated
ipad.fas.usda.gov/cropexplorer/c…
Step 11

See what location for the photo the neural networks will suggest.

labs.tib.eu/geoestimation/

They are very often wrong. But in this case... Yes! It really is Great Britain!
Step 12

This step should have been put first...

Don't forget to look at the exif data of the photo for latitude and longitude, but be aware that exif data is very easy to fake.

exif.regex.info/exif.cgi
This briefly thread is end.

For learning other ways to hypothesize about where a photo was taken, follow @cyb_detective and look forward to new threads.

Other tools to image search and identification you may find in my collection (505 #osint tools):

cipher387.github.io/osint_stuff_to…

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Jun 9
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A repository with text files containing a million dorks for finding potentially vulnerable web pages and sensitive data (in Google and other search engines).

Can be used with various automation tools.



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#socmint cheatsheets from @Haax9_:

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Twitter
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Github
Reddit
Tumblr
Amazon & Digital Ocean Buckets
Parler

🧵🧵🧵⬇️⬇️
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🧵🧵🧵⬇️⬇️

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15 reverse face image search tips

- search engines
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🧵🧵🧵

#osint #socmint Image
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:



🧵 1 googlelens.imagesniper.eu
Image


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.

🧵 2 yandex.ru/images/
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Read 17 tweets
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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 ).

🧵🧵🧵
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).

First, let's create a photo of a person's face.

huggingface.co/spaces/stabili…
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If you try many different variants and adjust step 12, there is a chance of getting some good-looking variants.

huggingface.co/spaces/NagaSai…
Read 7 tweets
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Sometimes I do threads about members of the OSINT-community. For example, you may have already read about @Sox0j or @rly0nheart.

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🧵🧵🧵
Read 10 tweets
Mar 8, 2023
The #osint community includes participants from all over the world and every country has something to learn from.

6 tips for working with presentations and video reports in foreign languages

(1/7)🧵🧵🧵
You can take the easy way and just translate the presentation file using one of the many online services:

doctranslator.com/translate-ppt/
onlinedoctranslator.com
products.aspose.app/pdf/translate/…

But often this leads to poor quality results. But for some situations it is quite good.

(2/7)🧵
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:

products.aspose.app/slides/parser
zamzar.com/convert/pptx-t…
convertio.co/ppt-txt/

(3/7)🧵
Read 8 tweets

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