oxidizeddreams

rule MinerGate
{
strings:
$a1 = "minergate.com"
condition:
$a1
}

rule MoneroOrg
{

oxidizeddreams

#!/usr/bin/env bash
# https://developers.supportbee.com/blog/setting-up-cucumber-to-run-with-Chrome-on-Linux/
# https://gist.github.com/curtismcmullan/7be1a8c1c841a9d8db2c
# http://stackoverflow.com/questions/10792403/how-do-i-get-chrome-working-with-selenium-using-php-webdriver
# http://stackoverflow.com/questions/26133486/how-to-specify-binary-path-for-remote-chromedriver-in-codeception
# http://stackoverflow.com/questions/40262682/how-to-run-selenium-3-x-with-chrome-driver-through-terminal
# http://askubuntu.com/questions/760085/how-do-you-install-google-chrome-on-ubuntu-16-04

# Versions
CHROME_DRIVER_VERSION=`curl -sS chromedriver.storage.googleapis.com/LATEST_RELEASE`

oxidizeddreams

Iodine Setup

Table of Contents

• Installation
• Domain Setup
• Running the Server
• Connecting the Client
• Routing: Server

oxidizeddreams

##Domain

We need some records on our domain (mydomain.com) DNS for connections. Add these records:

t1              IN      NS      t1ns.mydomain.com. ; note final the dot!
t1ns            IN      A       OUR_SERVER_IP

##Server

oxidizeddreams

GitHub for Bug Bounty Hunters

GitHub repositories can disclose all sorts of potentially valuable information for bug bounty hunters. The targets do not always have to be open source for there to be issues. Organization members and their open source projects can sometimes accidentally expose information that could be used against the target company. in this article I will give you a brief overview that should help you get started targeting GitHub repositories for vulnerabilities and for general recon.

Mass Cloning

You can just do your research on github.com, but I would suggest cloning all the target's repositories so that you can run your tests locally. I would highly recommend @mazen160's GitHubCloner. Just run the script and you should be good to go.

$ python githubcloner.py --org organization -o /tmp/output

oxidizeddreams

INTRO
I get asked regularly for good resources on AWS security. This gist collects some of these resources (docs, blogs, talks, open source tools, etc.). Feel free to suggest and contribute. 

Short Link: http://tiny.cc/awssecurity

Official AWS Security Resources
* Security Blog - http://blogs.aws.amazon.com/security/
* Security Advisories - http://aws.amazon.com/security/security-bulletins/
* Security Whitepaper (AWS Security Processes/Practices) - http://media.amazonwebservices.com/pdf/AWS_Security_Whitepaper.pdf
* Security Best Practices Whitepaper - http://media.amazonwebservices.com/AWS_Security_Best_Practices.pdf 

oxidizeddreams

# Security groups that contain 0.0.0.0/0 rules
aws ec2 describe-security-groups --filters Name=ip-permission.cidr,Values=0.0.0.0/0 --output=text | grep SECURITYGROUPS

# Security groups for ElasticSearch
aws ec2 describe-security-groups --filters Name=ip-permission.from-port,Values=9200 --output=text | grep SECURITYGROUPS

# Search last 10,000/1MB of CloudTrail logs for 'AccessDenied' (removed AWS account number from stream name)
aws logs get-log-events --log-group-name CloudTrail/DefaultLogGroup --log-stream-name 000000000000_CloudTrail_eu-west-1 | grep AccessDenied

# Get number of AWS API calls in time period (assumes a Cloudwatch Logs 'catch-all' filter and metric has been created against CloudTrail logs)

oxidizeddreams

import numpy as np
import pandas as pd

#### creating dataframes, adding and dropping columns

df = pd.DataFrame(np.arange(1,10).reshape(3,3),['A','B','C'],['w','x','y'])
df.columns = ['W','X','Y'] # change column names
df['Z']=df['X']+df['Y'] # new column with values X+Y
df['XX']=df.apply(lambda row: row['X']*2, axis=1) # new column with values twice of column X
df['YY']=1 # new column of ones

oxidizeddreams

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

---

oxidizeddreams

import unicodedata
import string

valid_filename_chars = "-_.() %s%s" % (string.ascii_letters, string.digits)
char_limit = 255

def clean_filename(filename, whitelist=valid_filename_chars, replace=' '):
    # replace spaces
    for r in replace:
        filename = filename.replace(r,'_')