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3 years ago
233 
Abuse of Google Colab for fun and profit.
What is it ?
Penglab is a ready-to-install setup on Google Colab for cracking hashes with an incredible power, really useful for CTFs. (See benchmarks below.)
It installs by default :
Hashcat John Hydra SSH (with ngrok)And now, it can also :
Launch an integrated shell Download the wordlists Rockyou and HashesOrg2019 quickly !You only need a Google Account to use Google Colab, and to use ngrok for SSH (optional).
How to use it ?
Go on : https://colab.research.google.com/github/mxrch/penglab/blob/master/penglab.ipynb Select "Runtime", "Change runtime type", and set "Hardware accelerator" to GPU. Change the config by setting "True" at tools you want to install. Select "Runtime" and "Run all" !What is Google Colab ?
Google Colab is a free cloud service, based on Jupyter Notebooks for machine-learning education and research. It provides a runtime fully configured for deep learning and free-of-charge access to a robust GPU.
Benchmarks
Hashcat Benchmark :
* Device #1: Tesla P100-PCIE-16GB, 16017/16280 MB, 56MCU
OpenCL API (OpenCL 1.2 CUDA 10.1.152) - Platform #1 [NVIDIA Corporation]
========================================================================
* Device #2: Tesla P100-PCIE-16GB, skipped
Benchmark relevant options:
===========================
* --optimized-kernel-enable
Minimum password length supported by kernel: 0
Maximum password length supported by kernel: 55
Hashmode: 0 - MD5
Speed.#1.........: 27008.0 MH/s (69.17ms) @ Accel:64 Loops:512 Thr:1024 Vec:8
Minimum password length supported by kernel: 0
Maximum password length supported by kernel: 55
Hashmode: 100 - SHA1
Speed.#1.........: 9590.3 MH/s (48.61ms) @ Accel:8 Loops:1024 Thr:1024 Vec:1
Minimum password length supported by kernel: 0
Maximum password length supported by kernel: 55
Speedtest :
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