About Hansipy

Hansipy, apache log access analyzer for detection and prevention of web attack. Intrusion prevention systems utilize signature based detection method. Generator tricks for systems programmers with sample access.log already Presented at PyCon'08, Chicago, by David M. Beazley. My aim is to rewrite the code into this project about detection web attack like sqli, backdoor/shell, page login access and more. Add some generator/function for detection, send to database and display in php report.

How it works

Hansipy is basically using string signature and matches each lines from the apache log access. these pattern has been chosen manually from whitepaper SANS Institute titled "How to identify malicious HTTP Requests". you can found this paper here https://www.sans.org/reading-room/whitepapers/detection/identify-malicious-http-requests-34067 I also put shell/backdoor scanner using name of shell/backdoor database from emposha project called "PHP-Shell-Detector". visit emphosa project about Web Shell Detector https://github.com/emposha/PHP-Shell-Detector Hansipy write in simple python script using method generator, simple function like if-else, for, and more. Output will be shown on your terminal also reported to your database and display onto web browser by php script. add sorting menu features for easy analysis.

Instalation

download this project from https://github.com/pobyzaarif
move hansipy folder to /var (linux!)
move hansipy_report folder to /var/www/html (public_html)
import sql file to database hansipy (must create database hansipy before)
setting config file and root folder
execute hansipy.py
this script can running in realtime mode by execute realtime.py

video tutorial

bit.ly/7noob

Features

Demo

http://www.website.com/hansipy/

Rule

rule_01 : Cross-Site Scripting
rule_02 : SQL Injection
rule_03 : Insecure Direct Object Reference
rule_04 : Page with status code between >= 400
rule_05 : Page with transfers over 1MB
rule_06 : Page login access
rule_07 : Backdoor/Shell

Changelog

1.5 added sender data to db, display report html/php.
1.4 script structure changed. generator function used. realtime mode added.
1.3 script structure changed. rule, host, datetime, method, added to report point.
1.2 rule, script structure changed.
1.1 report to csv_file, some pattern added.
1.0 first version.

TODO List

add requirement (create automatically installation)
add more pattern (continous looping)
add option to run hansipy (use args / user friendly)
edit view hansipy report (css)
add login page
add paging
add graph view
add anomaly-based detection
try use regex
TBD

pobyzaarif / hansipy