How To Hack Bitlocker Password In Windows 10

BitLocker is a full-disk encryption characteristic available in recent Windows versions (Vista, 7, 8.1 and ten) Pro and Enterprise. BitCracker is a mono-GPU password cracking tool for memory units encrypted with the countersign authentication mode of BitLocker (run into picture below).

Our set on has been tested on several memory units encrypted with BitLocker running on Windows 7, Window 8.ane and Windows 10 (both compatible and non-compatible mode). Here we present 2 implementations: CUDA and OpenCL.

Requirements
For CUDA implementation, you need at least CUDA vii.v and an NVIDIA GPU with minimum cc3.five (i.e. Kepler arch)

How To
Use the build.sh script to build 3 executables:

hash extractor
BitCracker CUDA version
BitCracker OpenCL version

The executables are stored in the build directory.
Earlier starting the attack, yous demand to run bitcracker_hash to extract the hash from the encrypted memory unit.

          > ./build/bitcracker_hash -h               Usage: ./build/bitcracker_hash -i <Encrypted retentiveness unit> -o <output file>
                           Options:
                             -h, --assist  Show this help
              -i, --image  Path of memory unit encrypted with BitLocker
              -o, --outfile  Output file

The extracted hash is fully uniform with the John The Ripper format (see next Department).
So you lot can utilise the output hash file to run the BitCracker assail.

          > ./build/bitcracker_cuda -h               Usage: ./build/bitcracker_cuda -f <hash_file> -d <dictionary_file>
                           Options:
                             -h, --help  Prove this help
              -f, --hashfile  Path to your input hash file (HashExtractor output)
              -s, --strict  Strict cheque (use but in example of false positives)
              -d, --dictionary Path to dictionary or alphabet file
              -g, --gpu   GPU device number
              -t, --passthread Set the number of password per thread threads
              -b, --blocks  Set the number of blocks

Notation: In case of false positives you can use the -s pick, that is a more restrictive cheque on the correctness of the terminal upshot. Altough this bank check is empirically verified and information technology works with the images of this repo encrypted with Windows seven, 8.1 and 10, we tin't guarantee that information technology doesn't lead to faux negatives. Use -s option only if BitCracker returns several simulated positives.
In the the run_test.sh script there are several assail examples using the encrypted images provided in this repo:

imgWin7: memory unit encrypted with BitLocker using Windows vii Enteprise edition Os
imgWin8: retention unit encrypted with BitLocker using Windows 8 Enteprise edition Os
imgWin10Compatible.vhd: memory unit encrypted with BitLocker (uniform mode) using Windows 10 Enteprise edition OS,
imgWin10NonCompatible.vhd: retention unit encrypted with BitLocker (Not compatible manner) using Windows 10 Enteprise edition OS,
imgWin10CompatibleLong27.vhd: memory unit encrypted with BitLocker (compatible manner) using Windows 10 Enteprise edition OS using the longest possible countersign (27 characters)

Currently, BitCracker is able to evaluate passwords having length between viii (minimum password length) and 27 characters (implementation reasons).
BitCracker doesn't provide whatsoever mask attack, cache machinery or smart dictionary creation; therefore you need to provide your ain input dictionary.

Operation
Here we report best performance of BitCracker implementations tested on unlike GPUs

GPU Acronim	GPU	Arch	CC	# SM	Clock	CUDA
GFT	GeForce Titan	Kepler	three.5	14	835	7.0
GTK80	Tesla K80	Kepler	3.five	xiii	875	seven.five
GFTX	GeForce Titan X	Maxwell	5.two	24	1001	7.5
GTP100	Telsa P100	Pascal	6.i	56	1328	8.0
AMDM	Radedon Malta	-	-	-	-	-

Performance:

Version	GPU	-t	-b	Passwords ten kernel	Passwords/sec	Hash/sec
CUDA	GFT	8	xiii	106.496	303	635 MH/s
CUDA	GTK80	viii	14	114.688	370	775 MH/south
CUDA	GFTX	8	24	106.608	933	1.957 MH/s
CUDA	GTP100	8	56	458.752	1.363	2.858 MH/s
OpenCL	AMDM	32	64	524.288	241	505 MH/s
OpenCL	GFTX	8	24	196.608	884	1.853 MH/s