How does HAITI compare to other hash identifiers like hash-identifier?

HAITI supports over 675 hash types, far more than many alternatives, and includes integration with hashcat and John the Ripper, whereas tools like hash-identifier have smaller databases and lack such practical features.

How to install HAITI on Windows?

Install Ruby first via RubyInstaller or WSL, then use 'gem install haiti-hash' from the command-line. The documentation also mentions Docker and package manager options for alternative setups.

Can HAITI identify custom hash types?

Yes, HAITI is hackable and allows users to extend it by adding custom hash types through its Ruby library interface, though this requires some Ruby programming knowledge.

How accurate is HAITI in detecting hash algorithms?

It uses a comprehensive database and heuristics for high accuracy on standard hashes, but like all identifiers, it may struggle with obfuscated or extremely rare formats that aren't in its database.

Is HAITI suitable for batch processing of large hash lists?

As a CLI tool, it can handle batch inputs via scripting, but performance may vary with very large datasets, and it's not specifically optimized for high-throughput, real-time applications.

How to add a new hash type to HAITI?

Modify the Ruby library by defining the hash's characteristics in the codebase, as detailed in the documentation; this involves editing Ruby files to include regex patterns and metadata for detection.

Open-Awesome

haiti

MITRubyv4.0.0

A CLI tool and library to identify hash types, supporting 675+ hash formats with hashcat and John the Ripper references.

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972 stars59 forks0 contributors

What is haiti?

HAITI is a hash type identifier that analyzes a given hash string and determines which cryptographic algorithm produced it. It solves the problem of manually identifying hash formats, which is crucial for tasks like password recovery, security testing, and forensic investigations. The tool supports an extensive database of over 675 hash types, including contemporary algorithms.

Target Audience

Security researchers, penetration testers, forensic analysts, and developers working on password-related systems or security tooling.

Value Proposition

Developers choose HAITI for its comprehensive hash coverage, integration with popular tools like hashcat and John the Ripper, and its dual availability as both a CLI and library, making it versatile for automated or manual workflows.

Overview

:key: Hash type identifier (CLI & lib)

Use Cases

Best For

Identifying unknown hash formats during security assessments
Preparing hash lists for password cracking with hashcat or John the Ripper
Forensic analysis of captured password hashes
Integrating hash detection into custom security tools or scripts
Learning about different hash algorithms and their signatures
Verifying hash types in legacy systems or databases

Not Ideal For

Projects requiring hash generation or encryption rather than just identification
Environments where Ruby is not installed or minimizing dependencies is critical
Users who need a graphical interface for hash analysis without command-line interaction

Pros & Cons

Pros

Extensive Hash Detection

Supports over 675 hash types, including modern algorithms like SHA3 and Keccak, making it one of the most comprehensive tools available for security assessments.

Security Tool Integration

Provides direct references for hashcat and John the Ripper, streamlining the transition from hash identification to password cracking workflows.

Dual Interface Flexibility

Available as both a command-line tool for quick checks and a Ruby library for programmatic integration into custom security tools.

Hackable and Extensible

Designed to be modified, allowing users to add custom hash types or tweak detection logic, as highlighted in its documentation.

Cons

Ruby Dependency

Requires Ruby installation via gems, which can be a barrier in environments without Ruby or where language preferences differ.

No Graphical Interface

Lacks a GUI, forcing users to rely on the command-line or custom integrations, which may not suit all workflows.

Identification Only

Focuses solely on hash type detection and does not include hash generation, validation, or cracking features, necessitating additional tools.

Frequently Asked Questions

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