Research any topic before you write.

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

Hashcat

Hashcat is a password recovery tool. It had a proprietary code base until 2015, but was then released as open source software. Versions are available for Linux, macOS, and Windows. Examples of hashcat-supported hashing algorithms are LM hashes, MD4, MD5, SHA-family and Unix Crypt formats as well as algorithms used in MySQL and Cisco PIX.

Variants, Attack types & Competitions

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 Hashcat. 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.

Variants

3 related topics

Attack types

3 related topics

Competitions

2 related topics

Overview

11 related topics

Key facts & relationships

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

Developers
Jens 'atom' Steube, Gabriele 'matrix' Gristina
License
MIT License
Operating system
Cross-platform
Repository
github.com/hashcat/hashcat
Stable release
7.1.2 / 23 August 2025; 12 months ago (23 August 2025)
Type
Password cracking

Topics to explore

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

Overview

Variants

Attack types

Competitions

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

Hashcat

Nodes24
Edges23
Triples32
Avg. degree1.92
Density0.083333
Components1

How this topic connects Entity context

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

Hashcat

Top relations

related to Competitions · 7
Hashcat → Can, Competitions, Crack Me If, DefCon, DerbyCon, KoreLogic, Team Hashcat
related to Attack types · 5
Hashcat → Brute-force, CPU, Lookup, These, Toggle-Case
related to Variants · 5
Hashcat → CPU-based, CUDA, GPU-accelerated, OpenCL, Previously
related to External links · 4
Hashcat → Confessions, Derbycon, HashcatTalk, Official
Developers · 1
Hashcat → Jens 'atom' Steube, Gabriele 'matrix' Gristina
License · 1
Hashcat → MIT License
Operating system · 1
Hashcat → Cross-platform
Repository · 1
Hashcat → github.com/hashcat/hashcat
Stable release · 1
Hashcat → 7.1.2 / 23 August 2025; 12 months ago (23 August 2025)
Type · 1
Hashcat → Password cracking

Important terminology Word statistics

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

Important terminology

software password attack cpu hashcat-legacy tool 2015 available linux windows algorithms hashing opencl also md5 oclhashcat gpu recovery macos based

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
HashcatDevelopersJens 'atom' Steube, Gabriele 'matrix' Gristina1.00infobox
HashcatLicenseMIT License1.00infobox
HashcatOperating systemCross-platform1.00infobox
HashcatRepositorygithub.com/hashcat/hashcat1.00infobox
HashcatStable release7.1.2 / 23 August 2025; 12 months ago (23 August 2025)1.00infobox
HashcatTypePassword cracking1.00infobox
HashcatWebsitewww.hashcat.net1.00infobox
Hashcatis apassword recovery tool0.90text
data-dependent branchinginstance ofDue to factors0.80text
serializationinstance ofDue to factors0.80text
and memoryinstance ofDue to factors0.80text
Hashcatrelated to Attack typesThese0.60section

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.