jay-johnson

virt-install \
    –-name master1 \
    –-vcpus 2 \
    –-ram 1024 \
    –-network bridge=br0 \
    # –-connect qemu:///system \
    # –-disk pool=master1,size=20,bus=virtio,sparse=false \
    # -–location http://us.archive.ubuntu.com/ubuntu/dists/trusty/main/installer-amd64/ \
    # -–initrd-inject=preseeds/preseed.cfg \
    # -–extra-args="locale=en_US.UTF-8 console-setup/ask_detect=false keyboard-configuration/layoutcode=us file=file:/preseed.cfg vga=788 quiet console=tty0 utf8 console=ttyS0,115200" \

jay-johnson

#!/usr/bin/env python

import os
import sys
import json
import socket
import datetime
import time

jay-johnson

#!/usr/bin/env python

import pandas as pd

cur_file = './test.csv'
df = pd.read_csv(cur_file)
org_cols = df.columns.values
cols = {}
for c in org_cols:
    print('categorizing column: {}'.format(c))

jay-johnson

version: '3'

services:
  splunkenterprise:

    hostname: splunkenterprise
    container_name: "splunk"
    image: splunk/splunk:7.0.3
    environment:
      SPLUNK_START_ARGS: --accept-license --answer-yes

jay-johnson

openshift_master_identity_providers=[{'name': 'htpasswd_auth', 'login': 'true', 'challenge': 'true', 'kind': 'HTPasswdPasswordIdentityProvider', 'filename': '/etc/origin/master/htpasswd'}]

jay-johnson

imagetouse=/home/jay/Documents/ocp-3.9.ova
vmname=ocp
nicname=enp7s0

vboxmanage controlvm ${vmname} poweroff
vboxmanage unregistervm ${vmname} --delete
vboxmanage import ${imagetouse} --options keepallmacs --vsys 0 --cpus 4 --vsys 0 --memory 16000 --vmname ${vmname}
vboxmanage modifyvm ${vmname} --nic1 nat
vboxmanage modifyvm ${vmname} --nic1 bridged --bridgeadapter1 ${nicname}

jay-johnson

Antivirus for Network Exploits

This is the first Anti-Nex release for detecting attacks and malicious network traffic using artificial intelligence (deep neural networks with Keras and Tensorflow). These tools and datasets are for quickly training models to defend applications, infrastructure and personal property.

Here are the Anti-Nex repositories on GitHub:

1. Network-Pipeline - Distributed capture tools

jay-johnson

node {
    // https://registry.hub.docker.com/_/maven/
    def maven32 = docker.image('maven:3.2-jdk-7-onbuild');
    
    stage 'Mirror'
    // First make sure the slave has this image.
    // (If you could set your registry below to mirror Docker Hub,
    // this would be unnecessary as maven32.inside would pull the image.)
    maven32.pull()
    // We are pushing to a private secure docker registry in this demo.

jay-johnson

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

jay-johnson

// This theme's colors are based on the original Monokai
//
// 1) Install it by adding it to an existing installed theme
//    cd C:\Programs\MicrosoftVSCode\resources\app\extensions\theme-monokai
//
// 2) open up the theme's package.json:
//    C:\Programs\MicrosoftVSCode\resources\app\extensions\theme-monokai\package.json
// 
// 3) Add it into the package.json "contributes.themes" list:
//