waybackurls vs GHunt: Features, Performance, Compatibility, and Use Cases

When comparing waybackurls vs GHunt, it is important to understand that these tools are designed for substantially different types of reconnaissance and OSINT work. Both are open-source command-line tools, but their data sources, workflows, requirements, and practical use cases are not the same.

waybackurls focuses on discovering URLs that have been collected by web archives and related historical sources. It accepts domains as input and retrieves known URLs associated with those domains, making it useful for historical URL discovery and web reconnaissance.

GHunt, meanwhile, is an OSINT framework focused primarily on Google-related information. The current GHunt v2 provides modules for investigating email addresses, Google accounts, Gaia IDs, Drive resources, BSSIDs through geolocation, and other Google-related objects. It supports CLI use, JSON output, asynchronous operation, and library integration.

Because they solve different problems, the comparison is less about choosing one universal tool and more about understanding which workflow each tool is built to support.

waybackurls vs GHunt at a Glance

CategorywaybackurlsGHunt
Primary purposeHistorical URL discoveryGoogle-focused OSINT
Main inputDomainsGoogle-related identifiers and resources
Main data focusArchived/discovered URLsGoogle account and service information
Programming languageGoPython
InterfaceCommand lineCLI, Python library
Current major versionv0.1.0v2.2.0
JSON exportNot a primary output formatSupported
Async architectureNot a major featureFully asynchronous
Browser extensionNoGHunt Companion
Docker supportNot central to the projectAvailable, although some login workflows have limitations
Best suited toWeb reconnaissanceGoogle-oriented OSINT investigations

What Is waybackurls?

waybackurls is a lightweight command-line utility created by Tom Hudson (tomnomnom). Its primary purpose is to accept line-delimited domains and retrieve URLs known to the Wayback Machine for those domains.

A basic workflow can look like:

cat domains.txt | waybackurls > urls

The project’s README also provides installation through Go:

go install github.com/tomnomnom/waybackurls@latest

Its relatively small scope is one of its defining characteristics. Instead of trying to become a complete OSINT framework, waybackurls concentrates on extracting historical URL information that can subsequently be processed with other reconnaissance tools.

The project has also added support for features such as dates, Common Crawl fetching, VirusTotal URLs, version retrieval, and filtering options over its development history.

waybackurls Features

Key characteristics include:

  • Historical URL discovery
  • Domain-based input
  • Command-line operation
  • Standard input and output support
  • Go-based installation
  • Integration with archived web data
  • Options for additional URL sources and filtering
  • Easy integration into shell-based reconnaissance pipelines

Because its output is text-oriented, it can fit naturally into workflows where one tool generates URLs and another analyzes them.

waybackurls Requirements

The current repository specifies Go 1.18 in its go.mod file.

The basic requirements are therefore relatively modest:

  • A compatible Go installation
  • Terminal or command-line access
  • Internet connectivity for retrieving remote archive data
  • A domain or list of domains to investigate

Although installation is straightforward in principle, the project’s issue tracker contains reports concerning installation problems, missing commands, and environments where the expected output does not appear.

What Is GHunt?

GHunt is a modular OSINT framework designed around Google-related investigation. The current v2 documentation describes it as an offensive Google framework focused on OSINT, while also providing a broader architecture that can be extended with additional modules.

Its current modules include:

  • email
  • gaia
  • drive
  • geolocate
  • spiderdal

The email module can retrieve information associated with Google accounts and related services, while the other modules address different Google-related objects and resources.

GHunt v2 also supports JSON output for several modules, making its results easier to incorporate into automated workflows or other analysis systems.

GHunt Features

Important GHunt capabilities include:

  • Google-focused OSINT
  • Email investigation
  • Gaia ID investigation
  • Google Drive resource investigation
  • BSSID geolocation
  • Digital Assets Links discovery
  • CLI operation
  • Python library usage
  • Asynchronous architecture
  • JSON export
  • Browser-extension-assisted authentication
  • Docker availability

The project released version 2.2.0 with a geolocate module capable of geolocating a BSSID without requiring an API key.

GHunt Requirements

The current GHunt documentation lists Python 3.10 or newer as the requirement. Its recommended installation method uses pipx:

pipx install ghunt

Authentication is an additional consideration. GHunt v2 uses Google authentication and provides several login methods, including its Companion browser extension and manual authentication options.

This makes GHunt’s setup more involved than a simple domain-to-URL utility because some functionality depends on authentication and Google’s current behavior.

Features Comparison

Historical Web Data

waybackurls is specifically designed around historical URL discovery. It retrieves URLs known to web archives and is therefore useful when investigating how a website’s publicly accessible URL structure has changed over time.

GHunt does not have this same purpose. Its focus is Google-related objects and services rather than archived website URLs.

Google Account Investigation

This is where the two tools diverge most clearly.

GHunt can investigate Google-related information associated with an email address and other identifiers. Its documentation lists information such as names, Gaia IDs, profile details, activated Google services, possible YouTube channels, usernames, and other related information depending on what is publicly or technically available.

waybackurls does not provide an equivalent Google-account investigation workflow.

Automation

Both tools can participate in automated workflows, but they approach automation differently.

waybackurls uses simple command-line input/output, making it particularly convenient for shell pipelines. GHunt provides a more structured framework with asynchronous operation, JSON export, and Python library support.

Extensibility

waybackurls is intentionally compact and focused. Its codebase is small, while its output-oriented design makes it easy to combine with other command-line utilities.

GHunt is structured more explicitly as a framework. Its v2 architecture includes modules and library usage, allowing developers to build additional functionality around it.

Performance and Efficiency

Performance depends heavily on the task being performed, so a direct speed ranking would be misleading.

waybackurls has a relatively narrow job: retrieve known URLs. That focused design can make it convenient for large domain lists and reconnaissance pipelines where the output is primarily a stream of URLs.

GHunt performs more specialized investigations and may interact with multiple Google-related services. Its v2 architecture is fully asynchronous and was redesigned to be significantly lighter and faster than the earlier implementation.

However, GHunt’s authentication and service-dependent workflows introduce factors that do not normally apply to a simple URL retrieval tool.

Compatibility

waybackurls

waybackurls is written in Go and is distributed as a Go program. The repository specifies Go 1.18, and its command-line design makes it suitable for environments where Go applications can be installed.

It can therefore fit into:

  • Linux reconnaissance environments
  • macOS terminals
  • Windows environments with Go
  • Security-focused distributions
  • CI or scripting environments

GHunt

GHunt is Python-based and currently requires Python 3.10 or newer.

Its ecosystem also includes:

  • Python environments
  • Linux-based systems
  • Browser-extension-assisted workflows
  • Docker-based deployments
  • CLI automation

The project also provides a Docker image, although its documentation notes that the Companion-based login workflow is not compatible with Docker.

Ease of Use

waybackurls generally has a simpler conceptual workflow:

Domain → archived URL collection → text output

That makes it relatively easy to understand for someone learning web reconnaissance.

GHunt has a broader workflow:

Authentication → identifier/resource → module → investigation results

This provides more functionality but also introduces additional setup and concepts.

Consequently, installation simplicity and investigation depth are different considerations rather than a simple measure of which tool is easier.

Typical Use Cases

waybackurls Use Cases

waybackurls can be useful for:

  • Historical website reconnaissance
  • Discovering previously known URLs
  • Mapping older website structures
  • Finding legacy endpoints for authorized security assessments
  • Building URL datasets for further analysis
  • Feeding archived URLs into other security tools
  • Researching changes in publicly accessible web infrastructure

For example, an authorized security tester might collect historical URLs from a domain and then manually determine which endpoints remain relevant to the current application.

GHunt Use Cases

GHunt is more appropriate for Google-oriented OSINT scenarios such as:

  • Investigating an email address
  • Examining Google account-related information
  • Investigating Gaia IDs
  • Examining Google Drive resources
  • BSSID-based geolocation
  • Researching relationships between publicly available Google services
  • Building structured Google-focused OSINT workflows

Its current modules make it broader than a single-purpose account lookup utility.

All investigations should be performed only on information and systems that you are authorized to research, while respecting privacy, applicable laws, and service terms.

Pros and Limitations

waybackurls Pros

  • Focused on historical URL discovery
  • Lightweight command-line workflow
  • Simple text-based output
  • Go-based and easy to integrate into shell pipelines
  • Useful for web reconnaissance
  • Can process multiple domains through standard input
  • Has incorporated sources such as Common Crawl and VirusTotal URLs over its development history

waybackurls Limitations

  • Primarily focused on URL discovery rather than broader OSINT
  • Results depend on available historical data
  • Does not provide GHunt-style Google account investigation
  • Requires Go for the standard installation method
  • Installation and execution issues have been reported by users in the project’s issue tracker

GHunt Pros

  • Specialized Google-focused OSINT framework
  • Multiple investigation modules
  • Supports email and Gaia investigations
  • Includes Drive and geolocation functionality
  • Fully asynchronous architecture
  • JSON export
  • Python library support
  • Browser extension for authentication assistance
  • Extensible framework design

GHunt Limitations

  • Requires Python 3.10+
  • Authentication adds setup complexity
  • Results depend on Google’s available information and current service behavior
  • Its Google-centric design makes it unsuitable as a replacement for a general historical URL collector
  • Some authentication workflows are not suitable for Docker deployments

waybackurls vs GHunt: Which Tool Fits Which Task?

The differences become clearer when the intended task is considered:

TaskMore Directly Aligned Tool
Find historical URLswaybackurls
Explore archived website endpointswaybackurls
Build URL lists for reconnaissancewaybackurls
Investigate a Google-associated emailGHunt
Examine Google account informationGHunt
Investigate Gaia IDsGHunt
Investigate Google Drive resourcesGHunt
Perform BSSID geolocationGHunt
Integrate simple URL output into shell pipelineswaybackurls
Build a modular Google-focused OSINT workflowGHunt

This table describes functional alignment rather than an overall ranking. The two tools address different categories of problems.

Development and Project Activity

The projects also show different development patterns.

The waybackurls repository has a compact history, with its latest listed release being v0.1.0. Its development history includes additions such as Common Crawl support, VirusTotal URLs, date display, version retrieval, and filtering.

GHunt is a larger framework with a more recent v2 release series. Version 2.2.0 added BSSID geolocation, while earlier v2 releases introduced a refactored architecture, asynchronous operation, JSON export, library support, and a redesigned authentication system.

These differences reflect their respective goals: waybackurls remains focused on URL discovery, while GHunt has evolved into a modular Google-oriented OSINT framework.

Final Comparison

waybackurls and GHunt should not be viewed as direct substitutes. waybackurls is centered on discovering URLs associated with historical web data, making it particularly relevant to web reconnaissance and archival research. Its simple command-line model also makes it convenient for pipelines and bulk domain processing.

GHunt takes a different approach by concentrating on Google-related OSINT. Its modules, asynchronous architecture, JSON output, library support, and authentication workflow make it suitable for investigations involving Google accounts, identifiers, Drive resources, and other supported Google-related objects.

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