Друзья, вводные данные: имеем пароль 8 символов, 6 буквы нижнего регистра 2 цифры, как сделать маску коту, ?d?d?l?l?l?l?l?l - так? Или так он думает что 2 цифры в начале? Спасибо
Если d цифры,а l буквы нижнего регистра,то естественно,где расположены d и l,там и будут соответственно цифры и буквы. ?d?d?l?l?l?l?l?l 57fghjkl ?d?l?l?l?l?d?l?l 5fghj7kl
Так а в чём проблема?Меняйте позиции ?d.Пока не переберётся всё до результата. Там 28 таких масок будет с двумя цифрами.
?l?l?l?l?l?l?d?d ?l?l?l?l?l?d?l?d ?l?l?l?l?l?d?d?l ?l?l?l?l?d?l?l?d ?l?l?l?l?d?l?d?l ?l?l?l?l?d?d?l?l ?l?l?l?d?l?l?l?d ?l?l?l?d?l?l?d?l ?l?l?l?d?l?d?l?l ?l?l?l?d?d?l?l?l ?l?l?d?l?l?l?l?d ?l?l?d?l?l?l?d?l ?l?l?d?l?l?d?l?l ?l?l?d?l?d?l?l?l ?l?l?d?d?l?l?l?l ?l?d?l?l?l?l?l?d ?l?d?l?l?l?l?d?l ?l?d?l?l?l?d?l?l ?l?d?l?l?d?l?l?l ?l?d?l?d?l?l?l?l ?l?d?d?l?l?l?l?l ?d?l?l?l?l?l?l?d ?d?l?l?l?l?l?d?l ?d?l?l?l?l?d?l?l ?d?l?l?l?d?l?l?l ?d?l?l?d?l?l?l?l ?d?l?d?l?l?l?l?l ?d?d?l?l?l?l?l?l
f8e478e71cc7a313e10ed26735bb74dc*5ca86a160344*d85dfbbad285*65697232373639363636302d322e3447 a781c49c65e58649d761d9ee160b9f1c*2400babb3cfa*d85dfbbad285*766f6461666f6e652d33434539 на 16800
Друзья, перебрал пароли по маске ?l?l?l?l?l?l?l?l тобишь 8 символов маленокого регистра, сейчас хочу перебрать маленький регистр + цифры, но он перебирает и просто маленький регистр , который я уже перебрал ранее и маленький регистр + цифры, как его заставить не перебирать просто маленький регистр, а только в сумме маленький +цифры. Заранее благодарен.
НУ и всем на заметку, вот так выглядит брут на четырех картах RTX-3090 )))) https://drive.google.com/file/d/1ZCsVhlzCEo6FPNwagjCTpZ_v4aZIhbrX/view?usp=sharing
Spoiler: Держи ?d?d?d?d?d?d?d?l ?d?d?d?d?d?d?l?d ?d?d?d?d?d?d?l?l ?d?d?d?d?d?l?d?d ?d?d?d?d?d?l?d?l ?d?d?d?d?d?l?l?d ?d?d?d?d?d?l?l?l ?d?d?d?d?l?d?d?d ?d?d?d?d?l?d?d?l ?d?d?d?d?l?d?l?d ?d?d?d?d?l?d?l?l ?d?d?d?d?l?l?d?d ?d?d?d?d?l?l?d?l ?d?d?d?d?l?l?l?d ?d?d?d?d?l?l?l?l ?d?d?d?l?d?d?d?d ?d?d?d?l?d?d?d?l ?d?d?d?l?d?d?l?d ?d?d?d?l?d?d?l?l ?d?d?d?l?d?l?d?d ?d?d?d?l?d?l?d?l ?d?d?d?l?d?l?l?d ?d?d?d?l?d?l?l?l ?d?d?d?l?l?d?d?d ?d?d?d?l?l?d?d?l ?d?d?d?l?l?d?l?d ?d?d?d?l?l?d?l?l ?d?d?d?l?l?l?d?d ?d?d?d?l?l?l?d?l ?d?d?d?l?l?l?l?d ?d?d?d?l?l?l?l?l ?d?d?l?d?d?d?d?d ?d?d?l?d?d?d?d?l ?d?d?l?d?d?d?l?d ?d?d?l?d?d?d?l?l ?d?d?l?d?d?l?d?d ?d?d?l?d?d?l?d?l ?d?d?l?d?d?l?l?d ?d?d?l?d?d?l?l?l ?d?d?l?d?l?d?d?d ?d?d?l?d?l?d?d?l ?d?d?l?d?l?d?l?d ?d?d?l?d?l?d?l?l ?d?d?l?d?l?l?d?d ?d?d?l?d?l?l?d?l ?d?d?l?d?l?l?l?d ?d?d?l?d?l?l?l?l ?d?d?l?l?d?d?d?d ?d?d?l?l?d?d?d?l ?d?d?l?l?d?d?l?d ?d?d?l?l?d?d?l?l ?d?d?l?l?d?l?d?d ?d?d?l?l?d?l?d?l ?d?d?l?l?d?l?l?d ?d?d?l?l?d?l?l?l ?d?d?l?l?l?d?d?d ?d?d?l?l?l?d?d?l ?d?d?l?l?l?d?l?d ?d?d?l?l?l?d?l?l ?d?d?l?l?l?l?d?d ?d?d?l?l?l?l?d?l ?d?d?l?l?l?l?l?d ?d?d?l?l?l?l?l?l ?d?l?d?d?d?d?d?d ?d?l?d?d?d?d?d?l ?d?l?d?d?d?d?l?d ?d?l?d?d?d?d?l?l ?d?l?d?d?d?l?d?d ?d?l?d?d?d?l?d?l ?d?l?d?d?d?l?l?d ?d?l?d?d?d?l?l?l ?d?l?d?d?l?d?d?d ?d?l?d?d?l?d?d?l ?d?l?d?d?l?d?l?d ?d?l?d?d?l?d?l?l ?d?l?d?d?l?l?d?d ?d?l?d?d?l?l?d?l ?d?l?d?d?l?l?l?d ?d?l?d?d?l?l?l?l ?d?l?d?l?d?d?d?d ?d?l?d?l?d?d?d?l ?d?l?d?l?d?d?l?d ?d?l?d?l?d?d?l?l ?d?l?d?l?d?l?d?d ?d?l?d?l?d?l?d?l ?d?l?d?l?d?l?l?d ?d?l?d?l?d?l?l?l ?d?l?d?l?l?d?d?d ?d?l?d?l?l?d?d?l ?d?l?d?l?l?d?l?d ?d?l?d?l?l?d?l?l ?d?l?d?l?l?l?d?d ?d?l?d?l?l?l?d?l ?d?l?d?l?l?l?l?d ?d?l?d?l?l?l?l?l ?d?l?l?d?d?d?d?d ?d?l?l?d?d?d?d?l ?d?l?l?d?d?d?l?d ?d?l?l?d?d?d?l?l ?d?l?l?d?d?l?d?d ?d?l?l?d?d?l?d?l ?d?l?l?d?d?l?l?d ?d?l?l?d?d?l?l?l ?d?l?l?d?l?d?d?d ?d?l?l?d?l?d?d?l ?d?l?l?d?l?d?l?d ?d?l?l?d?l?d?l?l ?d?l?l?d?l?l?d?d ?d?l?l?d?l?l?d?l ?d?l?l?d?l?l?l?d ?d?l?l?d?l?l?l?l ?d?l?l?l?d?d?d?d ?d?l?l?l?d?d?d?l ?d?l?l?l?d?d?l?d ?d?l?l?l?d?d?l?l ?d?l?l?l?d?l?d?d ?d?l?l?l?d?l?d?l ?d?l?l?l?d?l?l?d ?d?l?l?l?d?l?l?l ?d?l?l?l?l?d?d?d ?d?l?l?l?l?d?d?l ?d?l?l?l?l?d?l?d ?d?l?l?l?l?d?l?l ?d?l?l?l?l?l?d?d ?d?l?l?l?l?l?d?l ?d?l?l?l?l?l?l?d ?d?l?l?l?l?l?l?l ?l?d?d?d?d?d?d?d ?l?d?d?d?d?d?d?l ?l?d?d?d?d?d?l?d ?l?d?d?d?d?d?l?l ?l?d?d?d?d?l?d?d ?l?d?d?d?d?l?d?l ?l?d?d?d?d?l?l?d ?l?d?d?d?d?l?l?l ?l?d?d?d?l?d?d?d ?l?d?d?d?l?d?d?l ?l?d?d?d?l?d?l?d ?l?d?d?d?l?d?l?l ?l?d?d?d?l?l?d?d ?l?d?d?d?l?l?d?l ?l?d?d?d?l?l?l?d ?l?d?d?d?l?l?l?l ?l?d?d?l?d?d?d?d ?l?d?d?l?d?d?d?l ?l?d?d?l?d?d?l?d ?l?d?d?l?d?d?l?l ?l?d?d?l?d?l?d?d ?l?d?d?l?d?l?d?l ?l?d?d?l?d?l?l?d ?l?d?d?l?d?l?l?l ?l?d?d?l?l?d?d?d ?l?d?d?l?l?d?d?l ?l?d?d?l?l?d?l?d ?l?d?d?l?l?d?l?l ?l?d?d?l?l?l?d?d ?l?d?d?l?l?l?d?l ?l?d?d?l?l?l?l?d ?l?d?d?l?l?l?l?l ?l?d?l?d?d?d?d?d ?l?d?l?d?d?d?d?l ?l?d?l?d?d?d?l?d ?l?d?l?d?d?d?l?l ?l?d?l?d?d?l?d?d ?l?d?l?d?d?l?d?l ?l?d?l?d?d?l?l?d ?l?d?l?d?d?l?l?l ?l?d?l?d?l?d?d?d ?l?d?l?d?l?d?d?l ?l?d?l?d?l?d?l?d ?l?d?l?d?l?d?l?l ?l?d?l?d?l?l?d?d ?l?d?l?d?l?l?d?l ?l?d?l?d?l?l?l?d ?l?d?l?d?l?l?l?l ?l?d?l?l?d?d?d?d ?l?d?l?l?d?d?d?l ?l?d?l?l?d?d?l?d ?l?d?l?l?d?d?l?l ?l?d?l?l?d?l?d?d ?l?d?l?l?d?l?d?l ?l?d?l?l?d?l?l?d ?l?d?l?l?d?l?l?l ?l?d?l?l?l?d?d?d ?l?d?l?l?l?d?d?l ?l?d?l?l?l?d?l?d ?l?d?l?l?l?d?l?l ?l?d?l?l?l?l?d?d ?l?d?l?l?l?l?d?l ?l?d?l?l?l?l?l?d ?l?d?l?l?l?l?l?l ?l?l?d?d?d?d?d?d ?l?l?d?d?d?d?d?l ?l?l?d?d?d?d?l?d ?l?l?d?d?d?d?l?l ?l?l?d?d?d?l?d?d ?l?l?d?d?d?l?d?l ?l?l?d?d?d?l?l?d ?l?l?d?d?d?l?l?l ?l?l?d?d?l?d?d?d ?l?l?d?d?l?d?d?l ?l?l?d?d?l?d?l?d ?l?l?d?d?l?d?l?l ?l?l?d?d?l?l?d?d ?l?l?d?d?l?l?d?l ?l?l?d?d?l?l?l?d ?l?l?d?d?l?l?l?l ?l?l?d?l?d?d?d?d ?l?l?d?l?d?d?d?l ?l?l?d?l?d?d?l?d ?l?l?d?l?d?d?l?l ?l?l?d?l?d?l?d?d ?l?l?d?l?d?l?d?l ?l?l?d?l?d?l?l?d ?l?l?d?l?d?l?l?l ?l?l?d?l?l?d?d?d ?l?l?d?l?l?d?d?l ?l?l?d?l?l?d?l?d ?l?l?d?l?l?d?l?l ?l?l?d?l?l?l?d?d ?l?l?d?l?l?l?d?l ?l?l?d?l?l?l?l?d ?l?l?d?l?l?l?l?l ?l?l?l?d?d?d?d?d ?l?l?l?d?d?d?d?l ?l?l?l?d?d?d?l?d ?l?l?l?d?d?d?l?l ?l?l?l?d?d?l?d?d ?l?l?l?d?d?l?d?l ?l?l?l?d?d?l?l?d ?l?l?l?d?d?l?l?l ?l?l?l?d?l?d?d?d ?l?l?l?d?l?d?d?l ?l?l?l?d?l?d?l?d ?l?l?l?d?l?d?l?l ?l?l?l?d?l?l?d?d ?l?l?l?d?l?l?d?l ?l?l?l?d?l?l?l?d ?l?l?l?d?l?l?l?l ?l?l?l?l?d?d?d?d ?l?l?l?l?d?d?d?l ?l?l?l?l?d?d?l?d ?l?l?l?l?d?d?l?l ?l?l?l?l?d?l?d?d ?l?l?l?l?d?l?d?l ?l?l?l?l?d?l?l?d ?l?l?l?l?d?l?l?l ?l?l?l?l?l?d?d?d ?l?l?l?l?l?d?d?l ?l?l?l?l?l?d?l?d ?l?l?l?l?l?d?l?l ?l?l?l?l?l?l?d?d ?l?l?l?l?l?l?d?l ?l?l?l?l?l?l?l?d в линуксе сделал: echo -e {?d,?l}{?d,?l}{?d,?l}{?d,?l}{?d,?l}{?d,?l}{?d,?l}{?d,?l}\\n | tr -d " " | head -n -1
Spoiler: Как вам Такой монстр? CUDA API (CUDA 11.2) ==================== * Device #1: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #2: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #3: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #4: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #5: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #6: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #7: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #8: GeForce RTX 3090, 24012/24268 MB, 82MCU OpenCL API (OpenCL 1.2 CUDA 11.2.66) - Platform #1 [NVIDIA Corporation] ======================================================================= * Device #9: GeForce RTX 3090, skipped * Device #10: GeForce RTX 3090, skipped * Device #11: GeForce RTX 3090, skipped * Device #12: GeForce RTX 3090, skipped * Device #13: GeForce RTX 3090, skipped * Device #14: GeForce RTX 3090, skipped * Device #15: GeForce RTX 3090, skipped * Device #16: GeForce RTX 3090, skipped Benchmark relevant options: =========================== * --optimized-kernel-enable * --workload-profile=4 Hashmode: 2500 - WPA-EAPOL-PBKDF2 (Iterations: 4095) Speed.#1.........: 1065.2 kH/s (314.32ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#2.........: 1085.5 kH/s (308.44ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#3.........: 1065.5 kH/s (314.25ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#4.........: 1046.3 kH/s (320.05ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#5.........: 1069.9 kH/s (312.90ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#6.........: 1074.2 kH/s (311.70ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#7.........: 1079.9 kH/s (310.02ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#8.........: 1074.4 kH/s (311.66ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#*.........: 8561.0 kH/s CUDA API (CUDA 11.2) ==================== * Device #1: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #2: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #3: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #4: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #5: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #6: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #7: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #8: GeForce RTX 3090, 24012/24268 MB, 82MCU OpenCL API (OpenCL 1.2 CUDA 11.2.66) - Platform #1 [NVIDIA Corporation] ======================================================================= * Device #9: GeForce RTX 3090, skipped * Device #10: GeForce RTX 3090, skipped * Device #11: GeForce RTX 3090, skipped * Device #12: GeForce RTX 3090, skipped * Device #13: GeForce RTX 3090, skipped * Device #14: GeForce RTX 3090, skipped * Device #15: GeForce RTX 3090, skipped * Device #16: GeForce RTX 3090, skipped Benchmark relevant options: =========================== * --optimized-kernel-enable * --workload-profile=4 Hashmode: 22000 - WPA-PBKDF2-PMKID+EAPOL (Iterations: 4095) Speed.#1.........: 1072.8 kH/s (312.12ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#2.........: 1089.4 kH/s (307.34ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#3.........: 1080.4 kH/s (309.94ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#4.........: 1044.7 kH/s (320.53ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#5.........: 1067.4 kH/s (313.74ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#6.........: 1066.9 kH/s (313.90ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#7.........: 1071.6 kH/s (312.47ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#8.........: 1073.0 kH/s (312.08ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#*.........: 8566.4 kH/s CUDA API (CUDA 11.2) ==================== * Device #1: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #2: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #3: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #4: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #5: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #6: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #7: GeForce RTX 3090, 24012/24268 MB, 82MCU * Device #8: GeForce RTX 3090, 24012/24268 MB, 82MCU OpenCL API (OpenCL 1.2 CUDA 11.2.66) - Platform #1 [NVIDIA Corporation] ======================================================================= * Device #9: GeForce RTX 3090, skipped * Device #10: GeForce RTX 3090, skipped * Device #11: GeForce RTX 3090, skipped * Device #12: GeForce RTX 3090, skipped * Device #13: GeForce RTX 3090, skipped * Device #14: GeForce RTX 3090, skipped * Device #15: GeForce RTX 3090, skipped * Device #16: GeForce RTX 3090, skipped Benchmark relevant options: =========================== * --optimized-kernel-enable * --workload-profile=4 Hashmode: 16800 - WPA-PMKID-PBKDF2 (Iterations: 4095) Speed.#1.........: 1073.3 kH/s (311.98ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#2.........: 1088.3 kH/s (307.73ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#3.........: 1079.6 kH/s (310.24ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#4.........: 1048.3 kH/s (319.39ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#5.........: 1065.6 kH/s (314.15ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#6.........: 1064.9 kH/s (314.49ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#7.........: 1070.6 kH/s (312.73ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#8.........: 1071.7 kH/s (312.42ms) @ Accel:32 Loops:512 Thr:1024 Vec:1 Speed.#*.........: 8562.4 kH/s Это не моё. Увидел на одном форуме...
Мне бы сейчас такое очень пригодилось. Для меня 4 RTX 3090 со скоростью 4132 был космос, это вообще конечно зверь.
Вот тут можешь в аренду взять. Code: https://immers.cloud/gpu/ Хотя уже ты там брал в аренду. Щас вспомнил...