4 File system extraction.pdf
1.6 MB
File system Extraction (UFED 4PC, UFED Touch2, UFED Responder)
5-6 Physical extraction.pdf
2.2 MB
Physical Extraction (UFED 4PC, UFED Touch2, UFED Responder)
7 Capture images and screenshots.pdf
1.6 MB
Capture images and screenshots (UFED 4PC, UFED Touch2, UFED Responder)
8 Chat capture.pdf
2.2 MB
Chat capture (UFED 4PC, UFED Touch2, UFED Responder)
9 SIM card functionality.pdf
869.7 KB
SIM card functionality (UFED 4PC, UFED Touch2, UFED Responder)
10 Drone extractions.pdf
761.3 KB
Drone Extractions (UFED 4PC, UFED Touch2, UFED Responder)
11 Device tools.pdf
770.9 KB
Device Tools (UFED 4PC, UFED Touch2, UFED Responder)
Analyzing MTK Backup Files.pdf
833.4 KB
Analyzing MTK Backup Files using Cellebrite Physical Analyzer
New version of FinalMobile version 2021.06.07 is released.
You can download setup from here:
https://drive.google.com/u/0/uc?id=1ggqmZuhkoZKovN60CkoOpoIr2Bf9eI43&export=download
Soon, the update crack will be sent to the old customers privately.
New customers can contact @UnBin4A to get the crack.
You can download setup from here:
https://drive.google.com/u/0/uc?id=1ggqmZuhkoZKovN60CkoOpoIr2Bf9eI43&export=download
Soon, the update crack will be sent to the old customers privately.
New customers can contact @UnBin4A to get the crack.
UFED_Supported_Phone_List_7.45.zip
1.4 MB
UFED 4PC 7.45 Supported Phone List
Cellebrite_Pathfinder_ProductDescription_2021.pdf
8 MB
Cellebrite Pathfinder (Analytic Desktop) Description (2021).
Crack for MD-Video 3.6 (latest version) is available.
To get the crack you can contact Telegram: @UnBin4A
To get the crack you can contact Telegram: @UnBin4A
New Autopsy Modules Now Available
https://markmckinnon-80619.medium.com/new-autopsy-modules-now-available-7c56d2032020
https://t.me/Digital_Forensics
https://markmckinnon-80619.medium.com/new-autopsy-modules-now-available-7c56d2032020
https://t.me/Digital_Forensics
Medium
New Autopsy Modules Now Available
It is starting to get to that time of the year where I get ready to submit modules to the OSDFCon Autopsy Module Competition. So far I…
"Now if the photo hasn't any exif data, you could try to use neural network to determine the model of the camera which took the photo, this discipline is known as Camera Identification and the theory behind that, is growing as the use of Artificial Intelligence everywhere."
1- https://arxiv.org/pdf/1603.01068.pdf
2- https://link.springer.com/chapter/10.1007/978-3-642-04438-0_38
1- https://arxiv.org/pdf/1603.01068.pdf
2- https://link.springer.com/chapter/10.1007/978-3-642-04438-0_38
SpringerLink
Digital Camera Identification from Images – Estimating False Acc
Photo-response non-uniformity noise present in output signals of CCD and CMOS sensors has been used as fingerprint to uniquely identify the source digital camera that took the image. The same fingerprint can establish a link between images according to their…