How to increase the speed of 23800 mode?
#1
There are two issues: one is the slow cracking speed, and the other is the slow loading speed of the dictionary.

Runtime Environment:
OS: windows 10 22H2
Mem:  128G
Disk: 2T SSD
GPU:  4090D * 4
CUDA version: 12.4
NVIDIA driver version: 551.78
hashcat version: v6.2.6

command line: hashcat.exe -m 23800 -w 4 -s 0 -a 0 fb9cd8fb-2e33-4128-a25b-3d347716b85e.hash BaseLetterSpecial.dict
* BaseLetterSpecific.dict is a dictionary text of approximately 1.8 billion lines (filesize 20GB) that I randomly generated.

Before running this command, a benchmark test was conducted, and the overall speed was around 1000H/s; This speed is too slow.
Code:
hashcat (v6.2.6) starting in benchmark mode

Benchmarking uses hand-optimized kernel code by default.
You can use it in your cracking session by setting the -O option.
Note: Using optimized kernel code limits the maximum supported password length.
To disable the optimized kernel code in benchmark mode, use the -w option.

* Device #1: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #2: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #3: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #4: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #5: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #6: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #7: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #8: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
CUDA API (CUDA 12.4)
====================
* Device #1: NVIDIA GeForce RTX 4090 D, 23042/24563 MB, 114MCU
* Device #2: NVIDIA GeForce RTX 4090 D, 23042/24563 MB, 114MCU
* Device #3: NVIDIA GeForce RTX 4090 D, 23042/24563 MB, 114MCU
* Device #4: NVIDIA GeForce RTX 4090 D, 23042/24563 MB, 114MCU

OpenCL API (OpenCL 3.0 CUDA 12.4.89) - Platform #1 [NVIDIA Corporation]
=======================================================================
* Device #5: NVIDIA GeForce RTX 4090 D, skipped
* Device #6: NVIDIA GeForce RTX 4090 D, skipped
* Device #7: NVIDIA GeForce RTX 4090 D, skipped
* Device #8: NVIDIA GeForce RTX 4090 D, skipped

Benchmark relevant options:
===========================
* --optimized-kernel-enable

------------------------------------------------------------
* Hash-Mode 23800 (RAR3-p (Compressed)) [Iterations: 262144]
------------------------------------------------------------

Speed.#1.........:      303 H/s (12.34ms) @ Accel:8 Loops:16384 Thr:512 Vec:1
Speed.#2.........:      266 H/s (12.44ms) @ Accel:8 Loops:16384 Thr:512 Vec:1
Speed.#3.........:      265 H/s (12.56ms) @ Accel:8 Loops:16384 Thr:512 Vec:1
Speed.#4.........:      286 H/s (12.60ms) @ Accel:8 Loops:16384 Thr:512 Vec:1
Speed.#*.........:    1119 H/s

Started: Tue Dec 03 17:48:33 2024
Stopped: Tue Dec 03 17:52:23 2024

Seeing this speed, I tested the speed of another rar3 12500 mode and found that the speed was 1077kH/s

In addition to the cracking speed, the dictionary loading speed is also quite slow. When executing the aforementioned command, you can view through the status that approximately 9 million (0.5%) dictionary records are loaded each time, and each loading process takes around 1 hour.

Dear experts, please help me.
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Messages In This Thread
How to increase the speed of 23800 mode? - by zxc583700871 - Yesterday, 12:03 PM