[go: up one dir, main page]

Skip to content

In-depth Attack Surface Mapping and Asset Discovery_AI_Experimentation_by_SaintDruG

License

Notifications You must be signed in to change notification settings

blackhatethicalhacking/Amass_AI

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

OWASP Flagship GitHub Release Docker Images Follow on Twitter Chat on Discord

GitHub Test Status GoDoc License Go Report CodeFactor Maintainability Codecov

The OWASP Amass Project performs network mapping of attack surfaces and external asset discovery using open source information gathering and active reconnaissance techniques.

Information Gathering Techniques Used:

Technique Data Sources
APIs 360PassiveDNS, Ahrefs, AnubisDB, BeVigil, BinaryEdge, BufferOver, BuiltWith, C99, Chaos, CIRCL, Cloudflare, DNSDB, DNSRepo, Deepinfo, Detectify, FOFA, FullHunt, GitHub, GitLab, Greynoise, HackerTarget, Hunter, IntelX, LeakIX, Maltiverse, Mnemonic, Netlas, Pastebin, PassiveTotal, PentestTools, Pulsedive, Quake, SOCRadar, Searchcode, Shodan, SonarSearch, Spamhaus, Spyse, Sublist3rAPI, ThreatBook, ThreatCrowd, ThreatMiner, Twitter, URLScan, VirusTotal, Yandex, ZETAlytics, ZoomEye
Certificates Active pulls (optional), Censys, CertCentral, CertSpotter, Crtsh, Digitorus, FacebookCT, GoogleCT
DNS Brute forcing, Reverse DNS sweeping, NSEC zone walking, Zone transfers, FQDN alterations/permutations, FQDN Similarity-based Guessing
Routing ASNLookup, BGPTools, BGPView, BigDataCloud, IPdata, IPinfo, NetworksDB, RADb, Robtex, ShadowServer, TeamCymru
Scraping AbuseIPDB, Ask, Baidu, Bing, DNSDumpster, DNSHistory, DNSSpy, DuckDuckGo, Gists, Google, HackerOne, HyperStat, PKey, RapidDNS, Riddler, Searx, SiteDossier, Yahoo
Web Archives ArchiveIt, Arquivo, CommonCrawl, HAW, PublicWWW, UKWebArchive, Wayback
WHOIS AlienVault, AskDNS, DNSlytics, ONYPHE, SecurityTrails, SpyOnWeb, Umbrella, WhoisXMLAPI

Installation Go Version Docker Images Snapcraft GitHub Downloads

You can find some additional installation variations in the Installation Guide.

Prebuilt Packages

  1. Simply unzip the package
  2. Put the precompiled binary into your path
  3. Start using OWASP Amass!

Homebrew

brew tap caffix/amass
brew install amass

Snapcraft

sudo snap install amass

Docker Container

  1. Install Docker
  2. Pull the Docker image by running docker pull caffix/amass
  3. Run docker run -v OUTPUT_DIR_PATH:/.config/amass/ caffix/amass enum -d example.com

The volume argument allows the Amass graph database to persist between executions and output files to be accessed on the host system. The first field (left of the colon) of the volume option is the amass output directory that is external to Docker, while the second field is the path, internal to Docker, where amass will write the output files.

From Sources

  1. Install Go and setup your Go workspace
  2. Download OWASP Amass by running go install -v github.com/OWASP/Amass/v3/...@master
  3. At this point, the binary should be in $GOPATH/bin

Documentation GoDoc

Use the Installation Guide to get started.

Go to the User's Guide for additional information.

See the Tutorial for example usage.

See the Amass Scripting Engine Manual for greater control over your enumeration process.

Troubleshooting Chat on Discord

If you need help with installation and/or usage of the tool, please join our Discord server where community members can best help you.

🛑 Please avoid opening GitHub issues for support requests or questions!

Contributing Contribute Yes Chat on Discord

We are always happy to get new contributors on board! Please check CONTRIBUTING.md to learn how to contribute to our codebase, and join our Discord Server to discuss current project goals.

For a list of all contributors to the OWASP Amass Project please visit our HALL_OF_FAME.md.

Testimonials

"Accenture’s adversary simulation team has used Amass as our primary tool suite on a variety of external enumeration projects and attack surface assessments for clients. It’s been an absolutely invaluable basis for infrastructure enumeration, and we’re really grateful for all the hard work that’s gone into making and maintaining it – it’s made our job much easier!"

- Max Deighton, Accenture Cyber Defense Manager

"For an internal red team, the organisational structure of Visma puts us against a unique challenge. Having sufficient, continuous visibility over our external attack surface is an integral part of being able to efficiently carry out our task. When dealing with hundreds of companies with different products and supporting infrastructure we need to always be on top of our game.

For years, OWASP Amass has been a staple in the asset reconnaissance field, and keeps proving its worth time after time. The tool keeps constantly evolving and improving to adapt to the new trends in this area."

- Joona Hoikkala (@joohoi) & Alexis Fernández (@six2dez), Visma Red Team

References Bugcrowd LevelUp 0x04 DEF CON 27 Demo Labs DEF CON 27 Recon Village DEF CON 28 Red Team Village Bugcrowd LevelUp 0x07 Grayhat 2020 BeNeLux 2020 BSides København 2020 ESW 2021 DEF CON 30 Recon Village InfoSec Campus SecTool Podcast NYC OWASP Chapter 2022

Did you write a blog post, magazine article or do a podcast about OWASP Amass? Or maybe you held or joined a conference talk or meetup session, a hacking workshop or public training where this project was mentioned?

Add it to our ever-growing list of REFERENCES.md by forking and opening a Pull Request!

Top Mentions

Licensing License

This program is free software: you can redistribute it and/or modify it under the terms of the Apache license. OWASP Amass and any contributions are Copyright © by Jeff Foley 2017-2022. Some subcomponents have separate licenses.

Network graph

About

In-depth Attack Surface Mapping and Asset Discovery_AI_Experimentation_by_SaintDruG

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Go 74.5%
  • Lua 25.1%
  • Other 0.4%