Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Slowloris (cyber attack)

Slowloris is a type of denial of service attack tool which allows a single machine to take down another machine's web server with minimal bandwidth and side effects on unrelated services and ports. It is the prototypical slow DoS attack tool.

Affected web servers, Notable usage & Mitigating the Slowloris attack

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Slowloris (cyber attack). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Affected web servers

ApacheWebsenseVerizon'sMotorolaFlask
14 related topics

Notable usage

2009 Iranian presidential electionDoSDDoSBandwidthSpam
8 related topics

Mitigating the Slowloris attack

IP addressMod_qosMod_securityReverse proxiesFirewalls
7 related topics

R-U-Dead-Yet

DoSServerBlackmailPOSTHTTP server
5 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Platform
Cross-platform
Release
17 June 2009
Size
36 KB
Stable release
0.7
Type
Hacking tool
Written in
Perl

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Affected web servers

Mitigating the Slowloris attack

R-U-Dead-Yet

Notable usage

Similar software

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Slowloris (cyber attack)

Nodes50
Edges49
Triples14
Avg. degree1.96
Density0.04
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Slowloris (cyber attack)

Top relations

Platform · 1
Slowloris (cyber attack) → Cross-platform
Release · 1
Slowloris (cyber attack) → 17 June 2009
Size · 1
Slowloris (cyber attack) → 36 KB
Stable release · 1
Slowloris (cyber attack) → 0.7
Type · 1
Slowloris (cyber attack) → Hacking tool
Website · 1
Slowloris (cyber attack) → ha.ckers.org/slowloris/
Written in · 1
Slowloris (cyber attack) → Perl

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

attack server slowloris http slow connections web servers attacks dos tool written connection open affected apache nginx post bandwidth keep

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Slowloris (cyber attack)PlatformCross-platform1.00infobox
Slowloris (cyber attack)Release17 June 20091.00infobox
Slowloris (cyber attack)Size36 KB1.00infobox
Slowloris (cyber attack)Stable release0.71.00infobox
Slowloris (cyber attack)TypeHacking tool1.00infobox
Slowloris (cyber attack)Websiteha.ckers.org/slowloris/1.00infobox
Slowloris (cyber attack)Written inPerl1.00infobox
Varnishinstance ofProxying servers and caching accelerators0.80text
nginxinstance ofProxying servers and caching accelerators0.80text
and Squid have been recommended to mitigate this particular kind of attackinstance ofProxying servers and caching accelerators0.80text
not being able to access a particular websiteinstance ofnormally there is a gap of ten seconds between each byte but these intervals are not definite and may vary to avert detection.The victim servers of these types of attacks may fa…0.80text
disrupt their connectioninstance ofnormally there is a gap of ten seconds between each byte but these intervals are not definite and may vary to avert detection.The victim servers of these types of attacks may fa…0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.