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View 3090-hashcat.txt
hashcat (v6.1.1) 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: CUDA SDK Toolkit installation NOT detected.
CUDA SDK Toolkit installation required for proper device support and utilization
Falling back to OpenCL Runtime
@binary1985
binary1985 / 2080ti-hashcat.txt
Created Nov 21, 2018
Gigabyte RTX 2080ti Hashcat Benchmarks
View 2080ti-hashcat.txt
hashcat (v5.0.0) starting in benchmark mode...
* 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
OpenCL Platform #1: NVIDIA Corporation
======================================
* Device #1: GeForce RTX 2080 Ti, 2816/11264 MB allocatable, 68MCU
Benchmark relevant options:
View keybase.md

Keybase proof

I hereby claim:

  • I am binary1985 on github.
  • I am hackerp (https://keybase.io/hackerp) on keybase.
  • I have a public key ASDs8yjvuciMux18DMxPlthi_LJdRwVWuy6YLL1d27iqbAo

To claim this, I am signing this object:

View SecurityHeaderTest.py3
#!/usr/bin/python
import subprocess, sys, os.path, argparse
viewheader = True
verbose = True
parser = argparse.ArgumentParser(description='HTTP Security Header Tester: Joshua Platz')
requiredNamed = parser.add_argument_group('required named arguments')
requiredNamed.add_argument('-i', '--input', help='Input URL or URL input file name', required=True)
args=parser.parse_args()
sitesfile=args.input
View g3.4xlarge Hashcat
hashcat (v3.6.0) starting in benchmark mode...
OpenCL Platform #1: NVIDIA Corporation
======================================
* Device #1: Tesla M60, 1903/7613 MB allocatable, 16MCU
Hashtype: MD4
Speed.Dev.#1.....: 18255.9 MH/s (58.77ms)
View SetupCracker.sh
#!/bin/bash
sleep $(( $RANDOM % 120 ))
export DEBIAN_FRONTEND=noninteractive
apt-get update -q -y
apt-get -q -y -o Dpkg::Options::="--force-confdef" -o Dpkg::Options::="--force-confold" install linux-generic
wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
dpkg -i cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
apt-get update -q -y
apt-get install cuda -q -y
apt-get install mono-complete -q -y
View banner-lookup.sh
#!/bin/bash
clear
MINPARAMS=2
if [ $# -lt "$MINPARAMS" ]
then
echo "This script needs at least $MINPARAMS command-line arguments! Please try $0 <address/subnet> <ports>. Example $0 192.168.1.100 21,22,23,25,80,443"
exit
fi