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Evercookie: Applications, Description & Controversial applications

Evercookie (also known as supercookie) is an open-source JavaScript application programming interface (API) that identifies and reproduces intentionally deleted cookies on the clients' browser storage. This behavior is known as a zombie cookie. It was created by Samy Kamkar in 2010 to demonstrate the possible infiltration from the websites that use…

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Evercookie topic overview

The analysis highlights Applications, Description and Controversial applications as prominent areas in the source structure around Evercookie.

Related topics
25
Source areas
5
Connected nodes
30
Extracted relationships
62
Concept neighborhoods
18
Bridge connections
30

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Description · 17 topics
Background · 3 topics
Controversial applications · 3 topics
Overview · 1 topics
Public attitudes towards data tracking · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Suggested research paths

A focused starting point derived from the topic graph, ranked independently of the source article order.

Start with these areas

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

  • Tor Tor (anonymity network)

Background

Description

Controversial applications

Public attitudes towards data tracking

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.

How Evercookie connects Entity context

The extracted context around Evercookie shows recurring relationship patterns in the source. For example, Evercookie → Berkeley, California, Etag, ETags, Flash, HTML5, HTTP, Hulu, KISSmetrics, KISSmetrics' CEO Hiten Shah, On, On August, On Friday July, On October, Other, QuantCast, Samy Kamkar's Evercookie, Spotify, The, Two Another extracted example is Evercookie → Californian, Due, ETags, HTML5 Storage, HTTP, In, Samy Kamkar, Started, The, There, When. Use these groups to spot repeated connection types before inspecting the individual relationships.

Evercookie

Top relations

related to KISSMetrics privacy lawsuit · 21
Evercookie → Berkeley, California, Etag, ETags, Flash, HTML5, HTTP, Hulu, KISSmetrics, KISSmetrics' CEO Hiten Shah, On, On August, On Friday July, On October, Other, QuantCast, Samy Kamkar's Evercookie, Spotify, The, Two
related to background · 11
Evercookie → Californian, Due, ETags, HTML5 Storage, HTTP, In, Samy Kamkar, Started, The, There, When
related to Description · 9
Evercookie → By, Evercookie API, From, HTTP, If, Samy Kamkar, September, Then, When
related to NSA Tor tracking · 9
Evercookie → Edward Snowden, Evercookie's, In, National Security Agency, NSA, Tails, The TOR Blog, Tor, TOR Browser Bundles
has application · 6
Evercookie → As, Internet, Often, Slovak University, Technology, The
related to Public attitudes towards data tracking · 6
Evercookie → Americans, Another, Data, In, Recent, Wall Street Journal

Important terminology

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

Important terminology

storage cookies websites data mechanisms team user research users used browser tracking project cookie website use information browsers track kissmetrics

Evercookie relationships Subject–Predicate–Object triples

TTTA extracted 62 structured relationships around Evercookie. Examples in this analysis include Evercookie → has application → Slovak University and Evercookie → has application → Technology. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Evercookiehas applicationSlovak University0.60section
Evercookiehas applicationTechnology0.60section
Evercookiehas applicationInternet0.60section
Evercookiehas applicationOften0.60section
Evercookiehas applicationAs0.60section
Evercookiehas applicationThe0.60section
Evercookierelated to backgroundThere0.60section
Evercookierelated to backgroundHTTP0.60section
Evercookierelated to backgroundHTML5 Storage0.60section
Evercookierelated to backgroundWhen0.60section
Evercookierelated to backgroundThe0.60section
Evercookierelated to backgroundDue0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Evercookie bring nearby vocabulary together. In this analysis, examples include Storage, Mechanisms and Project. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Evercookie
    • Storage
    • Mechanisms
    • Project
    • Used
    • Tracking
    • Samy
    • Browsers
    • Commercial
    • Cookie
    • Users
    • Website
    • Data
  • evercookie
    • Storage
    • Mechanisms
    • Project
    • Used
    • Tracking
    • Samy
    • Browsers
    • Commercial
    • Cookie
    • Users
    • Website
    • Data
  • flash cookies
    • Http
    • Used
    • Flash
    • Websites
    • Deleted
    • Html5
    • Samy
    • Storage
    • Team
    • Commercial
    • Kissmetrics
    • Mechanisms
  • http cookies
    • Flash
    • Http
    • Websites
    • Html5
    • Used
    • Kissmetrics
    • Deleted
    • Storage
    • Samy
    • Team
    • Mechanisms
    • Respawning
  • http strict transport security
    • Flash
    • Html5
    • Used
    • Kissmetrics
    • Samy
    • Team
    • Respawning
    • Storage
    • Commercial
    • Privacy
    • Web
    • Websites
  • http etags
    • Flash
    • Html5
    • Used
    • Kissmetrics
    • Samy
    • Team
    • Respawning
    • Storage
    • Commercial
    • Privacy
    • Web
    • Websites
  • public attitudes towards data tracking
    • Cookie
    • Tracking
    • Many
    • Storage
    • Deleted
    • Internet
    • Users'
    • Flash
    • Evercookie
    • Project
    • Users
    • Used
  • samy kamkar
    • Samy
    • Project
    • Flash
    • Respawning
    • Mechanisms
    • Browsers
    • Http
    • Privacy
    • Use
    • Tracking
    • Used
    • Storage

Connections between topic areas Semantic bridges

For Evercookie, one of the stronger structural bridges in this analysis connects Evercookie with Description. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Evercookie — Description · splits 13 ⟂ 18
Evercookie — Background · splits 27 ⟂ 4
Evercookie — Controversial applications · splits 27 ⟂ 4

Map overview Semantic statistics

Evercookie

Nodes31
Edges30
Triples62
Avg. degree1.94
Density0.064516
Components1

Source & methodology

TTTA analyzes the structure around Evercookie to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Description & Controversial applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Evercookie · EN edition · Analysis: TopicsToTalkAbout

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