Open Source Perl Log Analysis Software

AWStats is a free powerful and featureful server logfile analyzer that shows you all your Web/Mail/FTP statistics including visits, unique visitors, pages, hits, rush hours, os, browsers, search engines, keywords, robots visits, broken links and more

OSSIM, AlienVault’s Open Source Security Information and Event Management (SIEM) product, provides event collection, normalization and correlation. For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities: * Log management * Advanced threat detection with a continuously updated library of pre-built correlation rules * Actionable threat intelligence updates from AlienVault Labs Security Research Team * Rich analytics dashboards and data visualization

pgBadger is a fast and powerful log analyzer for PostgreSQL, written in Perl. It parses PostgreSQL logs and generates detailed, visually appealing HTML reports, helping DBAs and developers understand query performance, connection issues, and system bottlenecks. With support for incremental analysis, gzip-compressed logs, and parallel processing, pgBadger is ideal for monitoring and optimizing PostgreSQL database activity in production environments.

Screen squid is web-based interface for viewing reports based on Squid proxy server log files. It can be accessed from web-browser through more than 50 reports. No extra files, only DB. All reports generated "on-the-fly". And we got personal cabinet for each user/group.

[ set status to abandon - volunteers welcome ] The postfix-logwatch / amavis-logwatch log analyzers produce summaries, reports and statistics regarding the operation of postfix and amavis. Use standalone, or as a filter module for the open source logwatch utility.

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.

Squid Analyzer parses Squid proxy access log and reports general statistics about hits, bytes, users, networks, top URLs, and top second level domains. Statistic reports are oriented toward user and bandwidth control.

LightSquid is a LIGHT and FAST, web based squid proxy traffic analyser . analize access.log and generate per-user & per group report.

Sendmail log Analyzer is a tool to monitor sendmail usage and generate HTML and graph reports. It reports all you ever wanted to know about email trafic on your network. You can also use it in ISP environment with per domain and per mailbox report.

Logrep is a tool for collection and presentation of information from various logfiles including snort, squid, postfix, apache, sendmail, iptables/ipchains and nt eventlogs. HTML-reports, multi dimensional analysis, ssh and graphs are available.

Kojoney is an easy of use, secure, robust and powerfull Honeypot for the SSH Service written in Python. With the kojoney daemon are distributeds other tools such as kip2country (IP to Country) and kojreport, a tool to generate reports from the log fi

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.

Scripts and tools to manage your Server.

lla is an LDAP Logfile Analyser , it generates statistics At this moment only NS 4.11 Logfiles have been tested. Your on your own if you want to analyse other type of Logfiles. But feel free to give feedback on your experiments and contribute patches to t

IP2Location C library enables the user to find the country, region, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, MCC, MNC, mobile brand name, elevation and usage type that any IP address or hostname originates from. It has been optimized for speed and memory utilization. Developers can use the API to query all IP2Location™ binary databases for applications written in C or supporting static/dynamic library.

SLOP is a PERL and PHP based engine for the collection of and reporting on logs from various network based devices such as firewalls, switches, and web servers. So far, SLOP supports Checkpoint firewalls and Cisco 2900 and 3500 switches.

This RRDTool Framework provides a central HTTP-based service for import into standard RRD DBs and graph generation. A lightweight, easily extendable agent for the data sources is pushing updates with minimal resource consumption on the master service.

AWStats Enterprise Manager is a tool for managing awstats configuration creation and logfile processing, in a multi-server environment. This script is designed to pull all the webserver logs, for every server, and parse them with awstats.

This is an addon for IPCop v2 which records the ADSL statistics from the ADSL modem and produces a nice set of graphs.

AfterGlow is a scripts which facilitates the process of generating link graphs from CSV input. AfterGlow is written in Perl and generates output that can be read by GraphViz, Gephi, etc. Source: https://github.com/zrlram/afterglow Tarball: http://pixlcloud.com/afterglow-2

Smart apache logfile sniffer to assign given IP's to names. It's a tool to check if special guests are visiting your webserver or Big Brother is watching you. Works with a CSV-list of IP's or IP-ranges.

Another Postfix's log analysis tool. It read maillog from stdin and output in format of every mail's traceroute. This can greatly help administrator to find problems of mail system.

AutoBahn is a reactive unix log monitor, capable of analyzing logs for suspicious activity and implementing firewall rules to block offenders, all in real-time.

PERL script and required environment to easily use the Afterglow software (http://afterglow.sourceforge.net/ Copyright (c) 2006 Raffael Marty) by listing the packet captures to visualize or by specifying a directory that contains the packet captures.

Aw2sql is a Perl CLI script which analyze the results of the Awstats and store them into a MySQL database. After this you can query this results from your own site and create a personalized design to the statistics.