Projects tagged ‘apache’ and ‘log’

log4j is a Java-based logging utility, and is one of many projects from the Apache Software Foundation. It is used primarily as a debugging tool.

Advanced Web Statistics (AWStats) is a free powerful Web server logfile analyzer (Perl script) that shows you all your Web statistics including visits, unique visitors, pages, hits, rush hours, search ... [More] engines, keywords used to find your site, robots, broken links, and more. It works with both IIS 5.0+ and Apache Web server log files as a CGI and/or from the command line. It also supports multiple languages including English, French, Dutch, Spanish, Italian, German, Polish, and Greek. [Less]

The Webalizer is a fast, free web server log file analysis program. It produces highly detailed, easily configurable usage reports in HTML format, for viewing with a standard web browser.

BetterAWStats is made to provide better statistics out of the data AWStats provides. It is not a replacement of AWStats. It is using all data and language resources from AWStats, so the same ... [More] translations and general features are always available also in BetterAWStats, additional features are being developed, but limited by the data provided through AWStats. [Less]

Cleans referrer spam from Apache logs and AWStats data files.

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.

ClickSpotter is a real-time web server logfile monitor with IP geolocation support.

In process log rotation for Apache 1.3, Apache 2.

Scalp! is a log analyzer for the Apache web server that aims to look for security problems. The main idea is to look through huge log files and extract the possible attacks that have been sent through ... [More] HTTP/GET (By default, Apache does not log the HTTP/POST variable). How it worksScalp is basically using the regular expression from the PHP-IDS project and matches the lines from the Apache access log file. These regexp has been chosen because of their quality and the top activity of the team maintaining that project. You will then need this file https://svn.php-ids.org/svn/trunk/lib/IDS/default_filter.xml in order to run Scalp. Scalp started as a simple python script which is still maintained, but I plan to focus my effort on the binary version (written in C++) for efficiency when it comes to scalp huge log files. UsageScalp has a couple of options that may be useful in order to save time when scalping a huge log file or in order to perform a full examination; the default options are almost okay for log files of hundreds of MB. Current options: exhaustive: Won't stop at the first pattern matched, but will test all the patterns tough: Will decode a part of potential attacks (this is done to use better the regexp from PHP-IDS in order to decrease the false-negative rate) period: Specify a time-frame to look at, all the rest will be ignored sample: Does a random sampling of the log lines in order to look at a certain percentage, this is useful when the user doesn't want to do a full scan of all the log, but just ping it to see if there is some problem... attack: Specify what classes of vulnerabilities the tool will look at (eg, look only for XSS, SQL Injection, etc.) Example of utilization: ./scalp-0.4.py -l /var/log/httpd_log -f ./default_filter.xml -o ./scalp-output --htmlHelprgaucher@plop:~/work/scalp/branches$ ./scalp-0.4.py --help Scalp the apache log! by Romain Gaucher - http://rgaucher.info usage: ./scalp.py [--log|-l log_file] [--filters|-f filter_file] [--period time-frame] [OPTIONS] [--attack a1,a2,..,an] [--sample|-s 4.2] --log |-l: the apache log file './access_log' by default --filters |-f: the filter file './default_filter.xml' by default --exhaustive|-e: will report all type of attacks detected and not stop at the first found --tough |-u: try to decode the potential attack vectors (may increase the examination time) --period |-p: the period must be specified in the same format as in the Apache logs using * as wild-card ex: 04/Apr/2008:15:45;*/Mai/2008 if not specified at the end, the max or min are taken --html |-h: generate an HTML output --xml |-x: generate an XML output --text |-t: generate a simple text output (default) --except |-c: generate a file that contains the non examined logs due to the main regular expression; ill-formed Apache log etc. --attack |-a: specify the list of attacks to look for list: xss, sqli, csrf, dos, dt, spam, id, ref, lfi the list of attacks should not contains spaces and comma separated ex: xss,sqli,lfi,ref --output |-o: specifying the output directory; by default, scalp will try to write in the same directory as the log file --sample |-s: use a random sample of the lines, the number (float in [0,100]) is the percentage, ex: --sample 0.1 for 1/1000I guess it's enough! FeaturesSince the main engine is done, I am currently focusing on the speed; for now, I am around 250000 lines of log in 170 seconds (which I consider not good, but okay compared to the Python's version I did before starting this one in C++) if I don't select an exhaustive list of the attacks (which means, it will not perform all the attack checking but stop at the first found -- based on criteria which is IMPACT > TYPE). To increase the speed, I am looking to use a multi-thread engine in order to take advantage of the muti-core processors. Beside the speed of this software, a couple of points are important: output in many formats (TEXT, XML, HTML) options in order to let the user do a pre-selection (mainly with a range of dates) configuration of the format of the Apache log may come later... [Less]