Thread by @nafomono

#NAFO #NAFOfellas #RussianFakes #FAKE
This 🧵 is about How the MOST WIDELY SHARED image of "ukronazis" is also the MOST FAKE one out there. Courtesy of little Kremlin photoshop-Igor.

Imagine you are the biggest 💩hole country in the world and want to invade your more civilized neighbour. Now you are in dire need of a bogus excuse to murder 40M Ukrainians. How about Denazifikation. You got your asses kicked by them last time in 2014. Perfect. Just one problem:

While you have access to a big trove of photos of ubiquitous Wagner & Ruzlan/Rusich Nazis, you find no suitable moderate-resolution images of Ukrainian ones. Also, the war just started. You don't have yet enough genocide lovers spending their free time to create & publish fakes.

So you have to do the job yourself. This Fake image was published in the early days at the start of march by exclusivly pro-kremlin sources and I assume bogus "ukrainian" telegram accounts. Widely circulated for a year.

To debunk this nonsense, we first have to reverse-image search a decent resolution version of the image. Luckily I found one with the funny name 125288_original.jpeg. Forged from original? The bigger the image, the closer you are 2 the forger.

Lets take a look at the meta-data of the jpeg. We got lucky, this is indeed a version of the image with quite telling meta-data left.
For one we can see that Photoshop3.0 and an app from TopazLabs was used. We can also see the JFIF jpeg exchange format.

We can also see, that Photoshop was used before the TopazLabs app, as the latter is noted as the last-output origin. It turns out, that topazlabs.com has different app-suites for AI enhanced image-reconstruction, Noise-Filter operations and has a price range of 300$+.

I guess the apps work by converting the input pixels of the original image -> to a complete new pixel reconstructed output resembling the original input.
We will soon see, why this is relevant.

Lets take a look at the pixel image. Due to higher resolution we can clearly see the photoshopped parts and some ridiculous artifact.
For one we can clearly see that Photoshop-Igor put considerable amount of work into repainting the flag to a ukrainian colored version. 🤦

Real Ukro-Nazis dont have to do that, they would have a real flag. So this is 100% coming from the ruZZians. Also it is strange to overpaint the faces, even though they wear balaclavas. Real Nazis are quite proud of themselves and won't censor themselves. Is there another reason?

To find more parts in which color got edited I used Principal Component Analysis. This is used to find outliers and parts that don't really fit to the rest of the image data. For one, we see sharp edges in the recolored parts and a pretty obvious boundary around the galicia patch

We also see that photoshop igor placed a drop of yellow color inside to enhance the recognition of the patch with the human eye. This can only be the galicia devision nazi patch. 🤡

The placement of a foreign object would however be pretty obvious in Noise- and Error-Level (jpeg-recompression) analysis. Also the shadows on the left of the patch are difficult to match with camouflage pattern of the uniform.

So how can we enhance that part and obfuscate that the image was altered?
This is there the Topaz Labs tools come into play, thus being the last app to output the final image. Apparently it does a great job at noise-equalization.

The presumeably heavily altered areas right next to the patch must be reconstructed. Using AI however, has the ridiculous side-effect that it thought it found in blurred-camouflage & shadow of the rifle-loop a face. For example the shadow turns into the dark hair of an angry😠

To wrap up: To all those child-rapist and genocide lover troll acounts
@Trollstoy88 @LogKa11 @AZgeopolitics and their retarded followers I have a simple question.
IF UKRAINE IS SO FULL OF NAZIS, WHY DO YOU HAVE TO FAKE SO MANY OF THEM?!🤦🤡

Conclusion: We #Fellas got the perfect excuse to challenge every single picture coming from this shit-heads. As they will try better next time to classify and hide original images, feel free to use this stamp to label images coming from them.
Please RT, share and bonk hard. 😁🐕

Special Thanks: to the biggest moron on the planet, who motivated me to debonk this shit. No you fucking idiot, this image is as fake as it gets.
@Xrl8Fernando

https://twitter.com/Xrl8Fernando/status/1626168249430712320?t=vNI3IOb-f74WSw8hF7iMlg&s=19