Peter Dyson geekpete

## pull_contacts.py
#!/usr/bin/python

"""Module for pulling contacts out of Google and storing them to disk
(or something).

See the official guide for a more in-depth look at GData Python
   http://code.google.com/apis/contacts/docs/1.0/developers_guide_python.html
"""

import atom

## gist:1443559
>>> import boto
>>> ec2 = boto.connect_ec2()
>>> stats = ec2.get_all_instance_status()
>>> stats
[InstanceStatus:i-67c81e0c]
>>> stat = stats[0]
>>> stat
InstanceStatus:i-67c81e0c
>>> stat.id
u'i-67c81e0c'

## elasticsearch_best_practices.txt
If you want, I can try and help with pointers as to how to improve the indexing speed you get. Its quite easy to really increase it by using some simple guidelines, for example:

- Use create in the index API (assuming you can).
- Relax the real time aspect from 1 second to something a bit higher (index.engine.robin.refresh_interval).
- Increase the indexing buffer size (indices.memory.index_buffer_size), it defaults to the value 10% which is 10% of the heap.
- Increase the number of dirty operations that trigger automatic flush (so the translog won't get really big, even though its FS based) by setting index.translog.flush_threshold (defaults to 5000).
- Increase the memory allocated to elasticsearch node. By default its 1g.
- Start with a lower replica count (even 0), and then once the bulk loading is done, increate it to the value you want it to be using the update_settings API. This will improve things as possibly less shards will be allocated to each machine.
- Increase the number of machines you have so

## gist:5532748

      
              1 file
            
          
              2 forks
            
          
              2 comments
            
          
              7 stars
            
          
                athieriot
                / gist:5532748
            
            
              Last active
              June 19, 2021 13:32
            
              
                Hipchat with IRSSI
              
          
    If you are adventurous, here the process to have Hipchat working in your favourite IRC client:


First, you need to install the IRSSI XMPP plugin. You can find this package in your distribution, but I advice you to use the latest version possible if you don't want this segfault errors everywhere: http://gna.org/bugs/?20487


The first version released after the patch fix is the 0.52-2 that you can download here: https://launchpad.net/ubuntu/+archive/primary/+files/irssi-plugin-xmpp_0.52-2_amd64.deb (No dependencies so it should work in any Debian distributions)


Once it's done. You have to configure IRSSI. Either via command line, either manually in the ~/.irssi/config file. I followed this thread: http://cybione.org/lists/irssi-xmpp-list/msg00339.html and it was pretty successful.


You can find your XMPP access on your HipChat account on this page: https://boxuk.hipchat.com/account/xmpp. Everything has a XMPP account id. Even the Rooms name. So you have to use these instead of the real names for your I


## gist:5777474
#!/usr/bin/env python

import sys

# Lamson is an application, but also the best way to read email without
# struggling with "battery include" libraries.
from lamson.encoding import from_string as parse_mail

from pyelasticsearch import ElasticSearch
from pyelasticsearch.exceptions import ElasticHttpNotFoundError

## install-comodo-ssl-cert-for-nginx.rst

      
              1 file
            
          
              296 forks
            
          
              96 comments
            
          
              932 stars
            
          
                bradmontgomery
                / install-comodo-ssl-cert-for-nginx.rst
            
            
              Last active
              June 10, 2024 15:37
            
              
                Steps to install a Comodo PositiveSSL certificate with Nginx.
              
          
    Setting up a SSL Cert from Comodo

I use Namecheap.com as a registrar, and they resale
SSL Certs from a number of other companies, including Comodo.
These are the steps I went through to set up an SSL cert.

Purchase the cert


## DevAlias-PentestEnvironmentSetup.sh
# /dev/alias Pentest Environment Setup
# Version: 0.2 (20131211)
# Created By: Glenn 'devalias' Grant (http://devalias.net)
# License: The MIT License (MIT) - Copyright (c) 2013 Glenn 'devalias' Grant (see http://choosealicense.com/licenses/mit/ for full license text)

# TODO:
#   * Option to check if tools (from this script and external) exist/are already installed and what versions
#     * Eg nmap , metasploit, etc
#   * Lair: https://github.com/fishnetsecurity/Lair
#     * apt-get install python-pip

## README.md

      
              2 files
            
          
              13 forks
            
          
              25 comments
            
          
              82 stars
            
          
                bertspaan
                / README.md
            
            
              Created
              January 2, 2014 15:28
            
              
                Python script to convert DBF database file to CSV
              
          
    Python script to convert DBF database file to CSV


First download dbfpy: http://sourceforge.net/projects/dbfpy/files/latest/download?source=files
Then install: sudo python setup.py install

To convert DBF file to CSV:
./dbf2csv database.dbf

  
## gist:146ce50807d16fd4a6aa
# Initialize the scroll
page = es.search(
  index = 'yourIndex',
  doc_type = 'yourType',
  scroll = '2m',
  search_type = 'scan',
  size = 1000,
  body = {
    # Your query's body
    })

## lost_volumes.py
import skew

total_size = 0
total_volumes = 0

for volume in skew.scan('arn:aws:ec2:*:*:volume/*'):
    if not volume.data['Attachments']:
        total_volumes += 1
        total_size += volume.data['Size']
        print('%s: %dGB' % (volume.arn, volume.data['Size']))
	#!/usr/bin/python

	"""Module for pulling contacts out of Google and storing them to disk
	(or something).

	See the official guide for a more in-depth look at GData Python
	http://code.google.com/apis/contacts/docs/1.0/developers_guide_python.html
	"""

	import atom
	>>> import boto
	>>> ec2 = boto.connect_ec2()
	>>> stats = ec2.get_all_instance_status()
	>>> stats
	[InstanceStatus:i-67c81e0c]
	>>> stat = stats[0]
	>>> stat
	InstanceStatus:i-67c81e0c
	>>> stat.id
	u'i-67c81e0c'
	If you want, I can try and help with pointers as to how to improve the indexing speed you get. Its quite easy to really increase it by using some simple guidelines, for example:

	- Use create in the index API (assuming you can).
	- Relax the real time aspect from 1 second to something a bit higher (index.engine.robin.refresh_interval).
	- Increase the indexing buffer size (indices.memory.index_buffer_size), it defaults to the value 10% which is 10% of the heap.
	- Increase the number of dirty operations that trigger automatic flush (so the translog won't get really big, even though its FS based) by setting index.translog.flush_threshold (defaults to 5000).
	- Increase the memory allocated to elasticsearch node. By default its 1g.
	- Start with a lower replica count (even 0), and then once the bulk loading is done, increate it to the value you want it to be using the update_settings API. This will improve things as possibly less shards will be allocated to each machine.
	- Increase the number of machines you have so
	#!/usr/bin/env python

	import sys

	# Lamson is an application, but also the best way to read email without
	# struggling with "battery include" libraries.
	from lamson.encoding import from_string as parse_mail

	from pyelasticsearch import ElasticSearch
	from pyelasticsearch.exceptions import ElasticHttpNotFoundError
	# /dev/alias Pentest Environment Setup
	# Version: 0.2 (20131211)
	# Created By: Glenn 'devalias' Grant (http://devalias.net)
	# License: The MIT License (MIT) - Copyright (c) 2013 Glenn 'devalias' Grant (see http://choosealicense.com/licenses/mit/ for full license text)

	# TODO:
	# * Option to check if tools (from this script and external) exist/are already installed and what versions
	# * Eg nmap , metasploit, etc
	# * Lair: https://github.com/fishnetsecurity/Lair
	# * apt-get install python-pip
	# Initialize the scroll
	page = es.search(
	index = 'yourIndex',
	doc_type = 'yourType',
	scroll = '2m',
	search_type = 'scan',
	size = 1000,
	body = {
	# Your query's body
	})
	import skew

	total_size = 0
	total_volumes = 0

	for volume in skew.scan('arn:aws:ec2:::volume/*'):
	if not volume.data['Attachments']:
	total_volumes += 1
	total_size += volume.data['Size']
	print('%s: %dGB' % (volume.arn, volume.data['Size']))