Bypassing video verifications by using face substitution

Carder

Professional
Messages
2,619
Reputation
9
Reaction score
1,726
Points
113

Preparation​

We take drop data for verification on the stock exchange, make documents for ourselves, or rather print out a fake document with a photo, you can laminate it. Next, we take the printed document in our hands and follow the instructions. We change the face and get verification.

https://github.com/alievk/avatarify - allows you to change your face in real time, during a video call in Skype or zoom.

Installation instructions for Windows​

1) Go to this site and download Miniconda python 3.7:

9392491836c6.png

2) Install https://git-scm.com/download/win

1a4c8f2be1a2.png

Next, enter "Miniconda" in the start menu, and open Anaconda promt:

14d8746ff393.png

Enter the commands in the console in order of priority:

Code:
git clone https://github.com/alievk/avatarify.git

cd avatarify

scripts\install_windows.bat

After successful completion, download additional resources from



https://mega.nz/file/R8kxQKLD#036S-bobZ9IW-kNNcSlgpfJWBKSi5nkhouCYAsxz3qI (for your choice).

Then place vox-adv-cpk. pth. tar in the avatarify folder (don't unpack it).

The avatarify folder is located in C:\Users\{username}:

6c95029ff507.png

After that, if you have already closed the miniconda console, then open it again, write:

Code:
cd C:\Users\username\avatarify

And after that, we prescribe the following:

Code:
run_windows.bat

Make sure that your RAM is not clogged, because when you first start the program, it will download and install the elements it needs:

fbee95ffb6be.png

After a successful launch, 2 Windows will appear on the screen, one with an image from the webcam, and the other with Avatarify^

0e387863c79d.png

Management:

Code:
1-9: switch between the persons;

0 (zero): toggles the display of the Avatar;

A/D: previous / next avatar from the folder;

W/S: camera zoom;

Z/C: setting the opacity of the Avatar overlay;

X: resets settings, helps before using it;

F: window and support search;

R: web camera mirroring;

T: avatar mirroring;

I: show FPS.

Managing your avatar​

Here are the basic principles for managing your avatar::

Align your face in the camera window as close in aspect ratio and position as possible to the target avatar. Use the zoom in/out function (W / S keys). When you're aligned, click " X " to use this frame as a reference to control the rest of the animation.

Use the overlay function (Z/C keys) to bring your face and avatar's expression as close as possible.

Alternatively, you can press "F" for the software to try to find the best position. This will slow down the frame rate, but while it's happening, you can keep moving your head: the preview window will flash green when it detects that your face pose is closer to the avatar than the one it's currently using. You will also see two numbers: the first number is how close you are currently aligned to the Avatar, and the second number is how close the reference frame is aligned.

You want to get the first number as small as possible - around 10 is usually a good alignment. When you're done, press "F" again to exit the reference frame search mode.

You don't need to be precise, and some other configurations may give even better results, but it's usually a good starting point.

Now, download the plugin for OBS, as well as OBS Studio itself

https://obsproject.com/forum/resources/obs-virtualcam.539/ (select install and register only 1 virtual camera):

97974c502f78.png


Running OBS​

In the Sources section, click the Add button (+sign), select Windows Capture, and click OK. In the window that opens, select "[python.exe]: avatarize " in the drop-down menu of the window and click OK. Then select Edit - > Transform - > > Fit to screen.

In OBS Studio, go to Tools - > VirtualCam. Check autorun, set Buffered frames to 0, and then click start.

OBS-Camera camera should now be available in Zoom (or other video conferencing software).

We set up gps for registration and look for a clean ip for the city of registration!

2 method​

https://www.elladodelmal.com/2019/04/autoencoders-gans-y-otros-chicos-buenos_10.html - ARTICLE.

We set up gps for registration and look for a clean ip for the city of registration!

3 method​

The substitution of the images in the camera. In this way, you can register car-sharing shares for the left data, because in some applications you can not download existing photos, for this we just need only the installed Linux operating system.

1. Install the virtual camera

Installing the codec; apt-get install git make ffmpeg

Cloning the driver repository

Code:
mkdir codek

cd codek

git clone https://github.com/umlaeute/v4l2loopback.git

cd v4l2loopback

Installing it

Code:
make && sudo make install

sudo depmod -a

And launch;

sudo modprobe v4l2loopback

We get the device /dev/video0 or a number higher if you already had something installed

2. Start broadcasting the image to the video driver stream ffmpeg-loop 1-r 1/5-i "path_to_image" -c: v libx264 -vf fps=25-vcodec rawvideo-pix_fmt yuv420p -threads 0-f v4l2 /dev/video0

We must specify -loop 1 to loop this action.

3. Well, now the final stage is emulation, open Android Studio, open the window where the virtual machine is edited and in the camera settings, select our virtual device, launch and move on to life

967be324761d.png

We set up gps for registration and look for a clean ip for the city of registration!

4 method​

For those who couldn't pass verification. Keep the fit. After all, Badoo is one of the leaders in the number of mammoths and drochers.

Snapchat now has a gender-changing filter. This feature allows you to easily pass verification on Badoo, and then - accept hacker traffic and earn on it in all known ways.

You need to open the camera in the app, button "to take pictures" is a drop-down gallery of masks - filters are there;

Among the "masks" there are two: one with a male face, the other with a female one. These are the "sex change" filters»;

After activating the filter, you need to set the camera so that the face falls within the boundaries of the "mask".»;

The filter works only in "live" mode from gallery photos cannot be added. But you can switch to the rear camera and, for example, capture a person's face in a photo.

We set up gps for registration and look for a clean ip for the city of registration!

5 method​

To start, let's go here https://developer.nvidia.com/cuda-80-ga2-download-archive and install CUDA 8.0

The installation is standard, after rebooting. You don't need to patch anything. Download fakeapp. Download it now https://ffmpeg.zeranoe.com/builds/

IMPORTANT! WE REPEAT EXACTLY!!!

Unpacking The FakeApp.zip to the root of disk C. and also in the root of disk C, create the folder fakes, inside we create the folders data, data_A, data_B. ffmpeg, unpack it to the FakeApp folder.

We get this picture:

08d39e7eef78.png


The preparation stage video​

I uploaded a video from an interview with Chloe Moretz and now I need to use any video editor to cut sections of the video with her face.

bffb661f6db5.png

Save the cut video in 720p quality to a folder C:\fakes\data_A we call it 1. mp4

Run the command line, write:

Code:
C:\FakeApp\ffmpeg\bin\ffmpeg.exe -i C:\fakes\data_A\1.mp4 -vf fps=25 "C:\fakes\data_A\out%d.png"

In the folder C:\fakes\data_A we see how the images appear and wait for the process to complete.

f4f24682d9c1.png

After completion, we delete it in the folder C:\fakes\data_A video 1. mp4

Launching fakeapp.bat in the folder C:\FakeApp

Select Align, enter the Data field C:\fakes\data_A

Click Start.

WAITING FOR THE FULL COMPLETION!

c7f5e567bcd2.png

In the folder C:\fakes\data_A the aligned folder will appear where all its faces are arranged.

Stage two​

We find a video for a friend and repeat the whole process, only instead of data_A we specify data_B. The main video for a friend should have one face, if there are several faces in the frame, the program will change them all.

After the aligned folder with ordered faces has appeared in the data_A and data_B folders, we proceed to the training session. This process is a pain in the ass, because it takes a very long time to train a neural network.

Go to the Train tab

In the Data A field, specify the path C:\fakes\data_A\aligned

In the Data B field, specify the path C:\fakes\data_B\aligned

08d39e7eef78.png

Click Start and wait. We observe how the neural network gradually learns and the photo quality improves. If you are tired of waiting or the quality suits you, press the Q key, the program will save the" scales " of connections and you can continue calculations in the future, nothing is lost.

The neural network will study for about a day at 1050ti. It doesn't take long to glue the finished video together.it takes a maximum of 1 hour.

Monetization options​

Webcam; blackmail; identification Brigitte, careering, bookmakers, etc.

For example:

- you fasten a photo of the client to the "naked body" (my mother is at the entrance) and politely ask for financial assistance.

- you attach a photo to the video and pass identification in affiliate programs/services.

Do not forget to set up gps for registration and take a clean ip for the city drop data. Good luck to all!
 

Carding

Professional
Messages
2,828
Reputation
17
Reaction score
2,100
Points
113
c38e6e98-0a6a-42a3-a768-e58311904e43.jpeg


We take the cardholder data for verification on the exchange, make documents For ourselves, or rather print out a fake document with a photo, you can laminate it. Next, we take the printed document in our hands and follow the instructions. We change the face and get verification.

METHOD 1

https://github.com/alievk/avatarify - allows you to change your face in real time, during a video call in Skype, or zoom.

Installation instructions for Windows

1) Go to this site and download Miniconda python 3.7:

FTubyZB.png


2) Install https://git-scm.com/download/win

53ANfIL.png


Next, enter "Miniconda" in the start menu, and open Anaconda promt:

cYumOjV.png


Enter the commands in the console in order of priority:

Code:
git clone https://github.com/alievk/avatarify.git

cd avatarify

scripts\install_windows.bat

After successful completion, download additional resources from https://drive.google.com/file/d/1L8P...dvlzpYBvZ/view, https://yadi.sk/d/lEw8uRm140L_eQ/vox-adv-cpk.pth.tar, https://mega.nz/file/R8kxQKLD#036S-b...nkhouCYAsxz3qI (of your choice).

Then place vox-adv-cpk. pth. tar in the avatarify folder (don't unpack it).

The avatarify folder is located in C:\Users\{username}:

oC9q9Yc.png


After that, if you have already closed the miniconda console, then open it again, write:

Code:
cd C:\Users\username\avatarify

And after that, we prescribe the following:

Code:
run_windows.bat

Make sure that your RAM is not clogged, because when you first start the program, it will download and install the elements it needs:

M2btGsO.png


After a successful launch, 2 Windows will appear on the screen, one with an image from the webcam, and the other with Avatarify:

H03jX3X.png


Management:
1-9: switch between faces;
0 (zero): enables or disables Avatar display;
A/D: previous / next avatar from the folder;
W/S: camera zoom;
Z/C: setting the opacity of the Avatar overlay;
X: resets settings, helps before using it;
F: window and support search;
R: web camera mirroring;
T: avatar mirroring;
I: show FPS.

Managing Your Avatar.

Here are the basic principles for managing your avatar:

Align your face in the camera window as close in aspect ratio and position as possible to the target avatar. Use the zoom in/out function (W / S keys). When you're aligned, click " X " to use this frame as a reference to control the rest of the animation.

Use the overlay function (Z/C keys) to bring your face and avatar's expression as close as possible.

Alternatively, you can press "F" for the software to try to find the best position. This will slow down the frame rate, but while it's happening, you can keep moving your head: the preview window will flash green when it detects that your face pose is closer to the avatar than the one it's currently using. You will also see two numbers: the first number is how close you are currently aligned to the Avatar, and the second number is how close the reference frame is aligned.

You want to get the first number as small as possible - around 10 is usually a good alignment. When you're done, press "F" again to exit the reference frame search mode.

You don't need to be precise, and some other configurations may give even better results, but it's usually a good starting point.

Now, download the plugin for OBS, as well as OBS Studio itself

https://obsproject.com/forum/resourc...irtualcam.539/ (select install and register only 1 virtual camera):

wAJtGiM.png


Launch OBS.

In the Sources section, click the Add button (+sign), select Windows Capture, and click OK. In the window that opens, select "[python.exe]: avatarize " in the drop-down menu of the window and click OK. Then select Edit - > Transform - > > Fit to screen.

In OBS Studio, go to Tools - > VirtualCam. Check autorun, set Buffered frames to 0, and then click start.

OBS-Camera camera should now be available in Zoom (or other video conferencing software).

We set up gps for registration and look for a clean ip for the city of registration!

METHOD 2


Link to Dipfayslab


Required files:

cuda_9.2.148_windows.exe (then restart)
cuda_9.2.148.1_windows.exe
cudnn-9.2-windows7-x64-v7.1.zip

THE PROGRAM FROM 20/06/2019 WAS USED

Video from the developer


IMPORTANT!

Regardless of how long your video runs, processing the face replacement will take the same amount of time.

The more iterations, the better. In the video with Lesha Shevtsov (itpedia), almost 80,000 users were used

For the steepest indicator, you can use 500,000 (it will take 3-4 days, it all depends on the video).

This is exclusively my draft for notes, I did not try to adapt it for anyone, only made it for myself.

1) TO THE ROOT OF THE DISK

After downloading, there are versions

DeepFaceLabCUDA9.2SSE for NVIDIA graphics cards up to GTX1080 and any 64-bit processors.

DeepFaceLabCUDA10. 1AVX for NVIDIA graphics cards up to RTX and processors with support for AVX instructions.

DeepFaceLabOpenCLSSE for AMD graphics cards and any 64-bit processors.

2) Upload 2 files to the Workspace folder.

The first one is data_dst. mp4 - - - - this is the face that will be replaced

The second one is data_src. mp4 - - - - this is the face to be used for replacement.

3) Order

2) extract PNG from video data_src. mp4-the program extracts the face that we will REPLACE. Face PNG format

3.2) extract PNG from video data_dst FULL. mp4-the program extracts the face to be CHANGED. PNG format

4) data_src extract faces MT all GPU-selects a finite set of faces from PNG to the workspace\data_src\aligned folder

4.1) data_scr check result-check how the person we will REPLACE was extracted.

4.2.2) data_src sort by similar histogram-after this sorting, faces will be grouped by content, so it is much easier to filter out unnecessary faces now.

Scroll through and delete unnecessary faces in groups.

4.1) data_scr check result-check how the person we will REPLACE was extracted. We delete unnecessary ones. See, the faces are now positioned according to the rotation of the head.

4.2.1) data_src sort by blur.bat-Sort by sharpness. Start and wait for sorting. Then see the results. The muddiest faces will be at the end. For src, it is important to remove cloudy faces.

4.1) data_scr check result-check how the person we will REPLACE was extracted. Remove unnecessary MUDDY FACES.

5) data_dst extract faces MT all GPU - the Same as item 4, with some differences. If the face is not detected in a certain frame, then there is an option + manual fix-allows you to manually

specify faces in frames where no faces were detected at all.

5.1) data_dst check result

5.2) data_dst sort by similar histogram - If the target video contains other unnecessary faces, you can perform this sorting, and then it will be easier to delete these faces.

5.1) data_dst check result-delete unnecessary frames

6) train H64 best GPU - - - - better CTRL+F train ... . bat training Session

in manual_en. pdf

WAITING FOR

!!! 6) train H64 best GPU-once again. Some charts appear, then it closes.

7) convert H64 d***g - - - convert .... bat face overlay. The d***g option allows you to view the face blending process and some technical information for each frame in the console by pressing spacebar in the preview window.

Like it always clicked on 0. -3.01 in the video

7) convert H64 d***g-AGAIN?

Combinations:
1
1
empty
empty
-5
empty
empty
empty

!!!7) convert H64 d***g-AGAIN?

Combinations:
1
1
20
40
empty
empty
empty
empty

7) convert H64

Combinations:
1
1
20
40
empty
empty
empty
empty

WAITING FOR COMPLETION

8) convert to mp4

WAITING FOR COMPLETION

Go to the folder RESULT and see the new file result. mp4

Configs if you want to train on SAE

== Model options:

== |== autobackup : True

== |== write_preview_history : True

== |== batch_size : 2 (

== |== sort_by_yaw : False

== |== random_flip : False

== |== resolution : 192

== |== face_type : f

== |== learn_mask : True

== |== optimizer_mode : 2

== |== archi : liae

== |== ae_dims : 192

== |== e_ch_dims : 42

== |== d_ch_dims : 21

== |== multiscale_decoder : true

== |== ca_weights : true

== |== pixel_loss : False

== |== face_style_power : 10

== |== bg_style_power : 10

== |== apply_random_ct : true

== |== clipgrad : true

== Running on:

== |== [0 : GeForce GTX 1080]

On the A64, everything is defaulted

--------------------------------

ADVICE

H128, DF, LIAEF128 models:

Use pixel loss? (y/n, ?:help skip: n/default ):

allows you to quickly improve fine details and remove jitter. Enable only after 20K iterations.

Website of the second program

https://faceswap.dev/forum/viewtopic.php?f=5&t=27

-------------------------------------

IMPORTANT!

Regardless of how long your video runs, processing the face replacement will take the same amount of time.

The more iterations, the better. In the video with Lesha Shevtsov (itpedia), almost 80,000 users were used

For the steepest indicator, you can use 500,000 (it will take 3-4 days, it all depends on the video).)

We set up gps for registration and look for a clean ip for the city of registration!

METHOD 3

https://www.elladodelmal.com/2019/04...buenos_10.html - ARTICLE.

We set up gps for registration and look for a clean ip for the city of registration!

METHOD 4

Replacing the image in the camera,this method, for example, can be used to register cargaring acci on the left data, because in some applications it is impossible to load already existing photos,for this we just need only the installed Linux operating system.

1. Install the virtual camera

Installing the codec; apt-get install git make ffmpeg

Cloning the driver repository;

mkdir codek

cd codek

git clone https://github.com/umlaeute/v4l2loopback.git

cd v4l2loopback

Installing it;

make && sudo make install

sudo depmod -a

And launch;

sudo modprobe v4l2loopback

We get the device /dev/video0 or a number higher if you already had something installed

2. Start broadcasting the image to the video driver stream ffmpeg-loop 1-r 1/5-i "path_to_image" -c: v libx264 -vf fps=25-vcodec rawvideo-pix_fmt yuv420p -threads 0-f v4l2 /dev/video0

We must specify -loop 1 to loop this action.

3. Well, now the final stage is emulation, open Android Studio, open the window where the virtual machine is edited and in the camera settings, select our virtual device, launch and move on to life

17vKy6M.png


We set up gps for registration and look for a clean ip for the city of registration!

METHOD 5

https://www.limontec.com/2018/02/dee...rn-falsos.html - ARTICLE


We set up gps for registration and look for a clean ip for the city of registration!

METHOD 6

Creating a camera substitution

https://github.com/corkami https://github.com/corkami/mitra

file1 first (top) input file.

file2 second (bottom) input file.

optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--verbose verbose output.
-n, --nofile Don't write any file.
-f, --force Force file 2 as binary blob.
-o OUTDIR, --outdir OUTDIR

directory where to write polyglots.

-r, --reverse Try also with <file2> <file1> - in reverse order.
-s, --split split polyglots in separate files (off by default).
--splitdir SPLITDIR directory for split payloads.
--pad PAD padd payloads in Kb (for expert).

We set up gps for registration and look for a clean ip for the city of registration!

METHOD 6

For those who could not pass verification( and I know that there are many of them). Hold the pad. After all, Badoo is one of the leaders in the number of mammoths and drochers.

Snapchat now has a gender-changing filter. This feature allows you to easily pass verification on Badoo, and then - accept hacker traffic and earn on it in all known ways.

You need to open the camera in the app. to the right of the "Take photo" button, there is a drop-down gallery of masks the necessary filters are located there;

Among the "masks" there are two: one with a male face, the other with a female one. These are the "sex change" filters»;

After activating the filter, you need to set the camera so that the face falls within the boundaries of the "mask".»;

The filter only works in live mode. you can't add photos from the gallery. But you can switch to the rear camera and, for example, capture a person's face in a photo.

We set up gps for registration and look for a clean ip for the city of registration!

METHOD 7

To start with https://developer.nvidia.com/cuda-80...wnload-archive and install CUDA 8.0

The installation is standard, after rebooting. You don't need to patch anything.

Download fakeapp

Download it now https://ffmpeg.zeranoe.com/builds/

IMPORTANT! WE REPEAT EXACTLY!!!

Unpacking The FakeApp.zip to the root of disk C. and also in the root of disk C, create the folder fakes, inside we create the folders data, data_A, data_B.

ffmpeg, unpack it to the FakeApp folder.

We get this picture

Goc0Dr4.png


Video preparation stage

I uploaded a video from an interview with Chloe Moretz and now I need to use any video editor to cut sections of the video with her face.

RcdSkMv.png


Save the cut video in 720p quality to a folder C:\fakes\data_A we call it 1. mp4

Run the command line, write:

Code:
C:\FakeApp\ffmpeg\bin\ffmpeg.exe -i C:\fakes\data_A\1.mp4 -vf fps=25 "C:\fakes\data_A\out%d.png"

In the folder C:\fakes\data_A we see how the images appear and wait for the process to complete.

FvBkojs.png


After completion, we delete it in the folder C:\fakes\data_A video 1. mp4

Launching fakeapp.bat in the folder C:\FakeApp

Select Align, enter the Data field C:\fakes\data_A

Click Start.

WAITING FOR THE FULL COMPLETION!

ii9Ut40.png


In the folder C:\fakes\data_A the aligned folder will appear where all its faces are arranged.

Stage two

We find a video for a friend and repeat the whole process, only instead of data_A we specify data_B. The main video for a friend should have one face, if there are several faces in the frame, the program will change them all.

After the aligned folder with ordered faces has appeared in the data_A and data_B folders, we proceed to the training session. This process is a pain in the ass, because it takes a very long time to train a neural network.

Go to the Train tab

In the Data A field, specify the path C:\fakes\data_A\aligned

In the Data B field, specify the path C:\fakes\data_B\aligned

Goc0Dr4.png


Click Start and wait. We observe how the neural network gradually learns and the photo quality improves. If you are tired of waiting or the quality suits you, press the Q key, the program will save the" scales " of connections and you can continue calculations in the future, nothing is lost.

The neural network will study for about a day at 1050ti.

It doesn't take long to glue the finished video together.it takes a maximum of 1 hour.

Monetization options:
- Webcam service;
- Blackmail;
- Identification;

And so on.

- you fasten the client's photo to the "naked body" (my mother is at the entrance) and politely ask for financial assistance
- you attach a photo to the video and pass identification in affiliate programs/services

We set up gps for registration and look for a clean ip for the city of registration!

bitzlato
hodlhodl
paxful
bitpapa
cryptolocator
localcryptos
localcoinswap
garantex
Whitebait
Totalcoin
Chatex
Risex
Vertex
prizmBit
Bitcoinglobal
skyBTCbanker
SkyCrypto
monabey
bisg
Localmonero
AgoraDesk
And others
 

Carding

Professional
Messages
2,828
Reputation
17
Reaction score
2,100
Points
113
This is a wonderful cryptocurrency exchange, but many people use it and therefore it introduced verification for payments over $ 200.
If you want to get by with verification, then make patches for small amounts.
For account verification and payments for any large amount, sometimes a selfie of the cardholder and / or scans of a credit card are required.
Verification with face swap is not required at the moment. This must be done on other services that require this verification procedure.
All documents required for verification can be ordered from trusted services for $ 5-10.

I advise you to buy coins on fresh verified exchanges in Asia and the East, which do not require verification and are highly classified as large-value payments. This is the key to successful, efficient and productive work.
 

insanebeeftw

Member
Messages
14
Reputation
0
Reaction score
4
Points
3
Would you mind telling me the best suitable face software for ID.me video chat? I would appreciate it if you could give me some advice on what I should do to get a verified ID.me account.

When I used my ID to try how ID.me works, it was so easy, and it took only less than 3 minutes, it didn't ask me for the video chat. But later, when I used someone else information, it kept asking me to take the video chat with them. I believe somehow I fucked up at the first two steps. I wouldn't say I like to give it up. I feel like I have hope again after I read your post about face software. Lol.

I am looking forward to hearing from you. Thank you so much.
 
Top