Search Results for "ddos script"

KAAIS (Kali Applications Automatic Installation Script) Let's you easily install some applications which doesn't come by default with the Kali Linux distribution, and perform some other tasks (like apt-get commands and update your 'sources.list' file).. It's user friendly and it incorporates some other things. It also gets updated regularly.

pfck is a perl script that reads the state table of pf and reports back flows based on a supplied port number. pfck is very handy in ddos attacks to identify who's hitting a host or network on a particular port service, and who they are specifically hitting.

who.pl: A small perl script that emulates the look of who but only shows the names of the users logged in, uses the program 'users' and is usefull for shell servers where one dosen't wish the users to beable to hax0r or DDoS eachother directly (assuming, of course, the admin chowned wtmp and utmp to root:somegroup, then chmod'd them to rw-r----- and SGUID'd 'users' to somegroup).

This module provides attack surface reduction enhancements against the HTTP Flood Attacks at the web application level. Massive crawling/scanning tools, HTTP Flood tools can be detected and blocked by this module via htaccess, firewall or iptables, etc. (like mod_evasive) You can use this module by including "iosec.php" to any PHP file which wants to be protected. You can test module here: http://www.iosec.org/test.php (demo) Watch the Proof of Concept video:...

...Examples of use include: distributed math computation, encryption breaking, SETI@home/folding@home (well, if they made the projects in php..) distributed bruteforce attacks, ddos attacks, distributed processing, etc.. distributedPHP client can be configured to distribute computing to scripts written in a language other than php as long as the script supports html form input (or doesn't require input at all).

The DDoS Attack Defender Tool is a simple, yet effective python script that defends your linux system against a distributed denial of service (DDoS) attack by limiting the number of connections per IP Address.