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https://github.com/regit/pshitt

Passwords of SSH Intruders Transferred to Text
https://github.com/regit/pshitt

Last synced: 9 days ago
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Passwords of SSH Intruders Transferred to Text

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README

        

======
PSHITT
======

Introduction
============

pshitt (for Passwords of SSH Intruders Transferred to Text) is a lightweight
fake SSH server designed to collect authentication data sent by intruders.
It basically collects username and password used by SSH bruteforce software
and writes the extracted data to a file in JSON format.

pshitt is written in Python and uses ``paramiko`` to implement the SSH layer.

Installing pshitt
=================

From Python Packaging Index (PyPI) using pip ::

pip install pshitt

Install from source ::

git clone https://github.com/regit/pshitt.git

NOTE: if you are installing from source, make sure you install ``paramiko``
and ``python-daemon`` packages.

Running pshitt
==============

If you installed via pip ::

./pshitt -o passwords.json

If you installed from source, go into the source directory and run ::

./pshitt.py -o passwords.json

This will run a fake SSH server listening on port 2200 to catch authentication
data sent by the intruders. Information about SSH connection attempt will be
stored in the ``passwords.json`` using JSON as format ::

{"username": "root", "src_ip": "116.10.191.184", "password": "P@ssword", \
"src_port": 41397, "timestamp": "2014-06-25T21:35:21.660303"}

Full options are available via '-h' option ::

usage: pshitt [-h] [-o OUTPUT] [-k KEY] [-l LOG] [-p PORT] [-t THREADS] [-v]
[-D]

Passwords of SSH Intruders Transferred to Text

optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
File to export collected data
-k KEY, --key KEY Host RSA key
-l LOG, --log LOG File to log info and debug
-p PORT, --port PORT TCP port to listen to
-t THREADS, --threads THREADS
Maximum number of client threads
-v, --verbose Show verbose output, use multiple times increase
verbosity
-D, --daemon Run as unix daemon

Using pshitt data
=================

As the format is JSON, it is easy to use the data in data analysis
software such as Splunk or Logstash.

Here's a sample configuration for logstash ::

input {
file {
path => [ "/var/log/pshitt.log" ]
codec => json
type => "json-log"
}
}

filter {
# warn logstash that timestamp is the one to use
if [type] == "json-log" {
date {
match => [ "timestamp", "ISO8601" ]
}
}

# optional but geoip is interesting
if [src_ip] {
geoip {
source => "src_ip"
target => "geoip"
add_field => [ "[geoip][coordinates]", "%{[geoip][longitude]}" ]
add_field => [ "[geoip][coordinates]", "%{[geoip][latitude]}" ]
}
mutate {
convert => [ "[geoip][coordinates]", "float" ]
}
}
}

output {
elasticsearch {
host => "localhost"
}
}

Basically, it is just enough to mention that the ``pshitt.log`` file is
using JSON format.