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Simple Event Correlator (SEC) is a lightweight event correlator for network management, log file monitoring, security management, fraud detection, and other tasks which involve event correlation.
swatchdog.pl started out as swatch, the "simple watchdog" for activity monitoring log files produced by UNIX's syslog facility. It has since been evolving into a utility that can monitor just about any type of log. The name has been changed to satisfy a request made by the old Swiss watch company.
Utility to move honeyd.log entries to a MySQL database.
This is yet another simple piece of software that extracts all the basic stats from honeyd’s text-based log files and inserts them in a MySQL database. Then you can run some queries and of course visualize the data if you want to.
Many things are hardcoded or dead simple, but it does the job. The file is a modified version of “honeyd_importer” perl script originally writen by Joshua Gimer and shared through “honeypots” mailing list.
This library provides a Ruby interface to Nmap's scan data. This information is presented in an easy-to-use and intuitive fashion for storage and manipulation.
WebSite-Alert is a web site monitoring system. WebSite-Alert is a simple java daemon that will monitor your web site and will send eMail and/or SMS alert when it will detect a problem (web site down, HTTP errors, custom error, wrong content, etc...).
log2web is a software intended to expose on a simple web page the logs generated by log4j. The objective is to have an online log viewing tool to replace a "tail -f" plus some other benefits.
The first open source Web 2.0 website log analyzer, OWS uses PHP and jQuery to provide a powerful and intuitive interface to manipulate website log data stored in a MySQL database. Has a simple plugin system so you can create custom output as well.
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This project has been moved to GitHub, see https://github.com/detach8/squid-graph
Squid Graph is a free, simple, yet powerful Squid v2 native logfile analysis tool that generates reports with graphical representation of the proxy server's traffic, somewhat like the popular MRTG tool.
PHPTracking is an advanced system written in PHP to monitor your website. It uses a simple system of PHP, a MySQL Database and scheduled tasks/cron to deliver a basic, but useful overview of your site's access log.
Ida, is a Apache log security analyzer written in PHP. It will scan Apache logs and report about security incidents like SQL injections, XSS attacks, path traveling and so on.
DLStats is OpenSource Download Anazyler - a simple php code, which you can include into your site and it gives you a view how many times was each file downloaded.
Mojo Clicks is a simple click tracker easily installed in just 4 steps: 1) Create the database 2) Load the tables 3) Configure the database definitions file 4) Use the script. Uses PHP and MySQL. Features: editable link tracking and referrer tracking.
Mojo Webstats is a simple web statistics tool. It uses Javascript, PHP and MySQL to process web statistics. Includes: 1) date/time, 2) document location and title, 3) ip address and hostname, 4) browser version, 5) visitor resolution, and 6) referrer.
Nimda Stats is a simple program that analyzes Apache's error log, counts the number of Nimda virus attempts, and lists the top 100 'ip's that were used to attack your computer in an HTML file. More features coming soon.
The Webalizer Extractor. Exalizer is a program that extraxts data from the Webalizer data files and sets them to be replaced by simple tags that can be placed in template files. This way, you can make Webalizer data get displayed in the format YOU want!
SimpleLogViewer is Java 2 based GUI application that display logging data. Can read a file or listen over a TCP socket. Use plugins/embedded scripts to Hide, Rewrite, Colorize lines of log.
A simple yet useful tool for browsing instant messenger log files (like Trillian, ICQ or Gaim) and also HTML server log files.
It has some interesting search modes and provides functionality that most messengers don't.
A tool to extract the information in any log file into a database. It has no inherent knowledge of particular log formats but by using inbuilt rules and asking a few simple questions should be able to parse any type of text log intelligently.