recon for real

• Assets discovery
  • Acquisitions: empresas dentro de empresas
  • Encontre o ASN (se houver) de cada empresa, isso nos dará os intervalos de IP pertencentes a cada empresa
  • Reverse Whois and DNS permite encontrar mais infos a partir de um nome, email, domain. etc
  • Reverse DNS: com intervalos de IP dos domínios (ASN’s), você pode tentar realizar pesquisas reversas de DNS nesses IPs para encontrar mais domínios dentro do escopo
  • more techiniques and resources
• Domains and SubDomains
  • [ ] Reverse whois and dns
  • [ ] Dorks
    • [ ] subdomain scraping
  • [ ] Trackers: se encontrar o mesmo ID do mesmo tracker em 2 páginas diferentes você pode supor que ambas as páginas são gerenciadas pela mesma equipe
  • [ ] Favicon analysis
  • [ ] Passive Sub Enum
    • certs, passivos e historical subdomain
  • [ ] Shodan passive recon
• Recon in Cloud based infra
  • [ ] Tools for automate
  • [ ] cert transparecy in cloud ips
  • [ ] resolve ips to domains via ssl cert
  • [ ] CDN checker https://github.com/projectdiscovery/cdncheck
• Github
  • [ ] cs.github
  • [ ] Git dorker
  • [ ] git exposed
  • [ ] github search
• After sub enum
  • [ ] Screeshotting: analysis all screeshot and priorize domains to test (eyewitness, aquatone, httpscreenshot)
• [ ] Pré-Manual Testing and Automation
  • [ ] Test Layers
  • [ ] Tech-Profiling
  • [ ] Find cve’s and misconfigs
  • [ ] Service Scanning
  • [ ] Port Scan
  • Content/Parameter/URL Discovery
    • [ ] waybackmachine content discovery
    • Tools
• [ ] Application Analysis
  • [ ] Big Questions
  • [ ] spidering
  • [ ] javascript analysis
  • [ ] hot areas
  • [ ] parameter analysis

notes of @jhaddix lives

https://book.hacktricks.xyz/generic-methodologies-and-resources/external-recon-methodology

Assets discovery

• Acquisitions: empresas dentro de empresas

  • https://www.crunchbase.com/
  • Owler https://www.owler.com/
  • BuiltWith https://builtwith.com/
  • Linkedin
  • Wikipedia (search for acquisitions)
  • Intelx https://intelx.io/tools

• search engines

• Encontre o ASN (se houver) de cada empresa, isso nos dará os intervalos de IP pertencentes a cada empresa

  • http://bgp.he.net
  • http://asnlookup.com/
  • http://ipv4info.com/

  • https://book.hacktricks.xyz/generic-methodologies-and-resources/external-recon-methodology#asns other asn’s regions

  • automate scan in ASNs with asnmap, metabigor or amass (vps use only)

    • $ echo AS394161 | asnmap -silent | naabu -silent

    • $ echo AS394161 | asnmap -silent | naabu -silent -nmap-cli 'nmap -sV'

    • amass intel -asn 46489

• Reverse Whois and DNS permite encontrar mais infos a partir de um nome, email, domain. etc

  • https://centralops.net/co/
  • https://dnsdumpster.com/
  • https://viewdns.info/reversewhois/
  • https://domaineye.com/reverse-whois
  • https://www.reversewhois.io/
  • https://www.whoxy.com/
  • https://drs.whoisxmlapi.com/reverse-whois-search
  • Tool for automate https://github.com/vysecurity/DomLink
  • amass intel -d tesla.com -whois

• Reverse DNS: com intervalos de IP dos domínios (ASN’s), você pode tentar realizar pesquisas reversas de DNS nesses IPs para encontrar mais domínios dentro do escopo

  • dnsrecon tool https://github.com/darkoperator/dnsrecon

    • dnsrecon -r <DNS Range> -n <IP_DNS>   #DNS reverse of all of the addresses
      dnsrecon -d facebook.com -r 157.240.221.35/24 #Using facebooks dns
      dnsrecon -r 157.240.221.35/24 -n 1.1.1.1 #Using cloudflares dns
      dnsrecon -r 157.240.221.35/24 -n 8.8.8.8 #Using google dns
      

• more techiniques and resources

  • https://book.hacktricks.xyz/generic-methodologies-and-resources/external-recon-methodology
  • https://github.com/geleiaa/Reconnaissance_notes/blob/main/hakaiNotes.md
  • https://gowthams.gitbook.io/bughunter-handbook/list-of-vulnerabilities-bugs/recon-and-osint/recon
  • OneLiners https://github.com/KingOfBugbounty/KingOfBugBountyTips

Domains and SubDomains

• [ ] Reverse whois and dns

• [ ] Dorks

  • Copyright text
  • Terms of service text
  • Privacy policy text

  • Pesquise nas palavras das páginas da web que podem ser compartilhadas em diferentes sites da mesma organização. A sequência de direitos autorais pode ser um bom exemplo. Depois procure por essa string no google, em outros navegadores ou até mesmo no shodan.

  • [ ] subdomain scraping

    • site:twitch.tv -www.twitch.tv or -www.sub,twitch.tv -sub.twitch.tv

    • Tools for automate GooFuzz and sd-goo

• [ ] Trackers: se encontrar o mesmo ID do mesmo tracker em 2 páginas diferentes você pode supor que ambas as páginas são gerenciadas pela mesma equipe

  • https://book.hacktricks.xyz/generic-methodologies-and-resources/external-recon-methodology#trackers

• [ ] Favicon analysis

  1. https://github.com/devanshbatham/FavFreak

  2. https://github.com/m4ll0k/BBTz/blob/master/favihash.py
     • cat my_targets.txt | xargs -I %% bash -c 'echo "http://%%/favicon.ico"' > targets.txt python3 favihash.py -f https://target/favicon.ico -t targets.txt -s
  3. Search favicon hash on shodan
     • shodan search org:"Target" http.favicon.hash:116323821 --fields ip_str,port --separator " " | awk '{print $1":"$2}'

• [ ] Passive Sub Enum

• certs, passivos e historical subdomain

  • securitytrails.com
  • subdomainfinder.c99.nl
  • wayback machine
  • subfinder
  • certspotter https://sslmate.com/certspotter/ (free tools)
  • ctfr (crt.sh) https://github.com/UnaPibaGeek/ctfr
  • chaos.projectdiscovery.io
  • Sudomy

1. Subfinder
   • subfinder -d DOMAIN -silent -all -o subfinder_output | httpx -silent -o httpx_output
   • subfinder -d domain.com -silent | httpx -status
   • subfinder -d domain | httpx -csp-probe -title

2. Github-subdomains.py é um script parte do repositório de enumeração Github chamado “github-search”. Ele consultará a API do Github em busca de subdomains https://github.com/gwen001/github-search/blob/master/github-subdomains.py

3. passive subdomain recon with shodan https://github.com/incogbyte/shosubgo

4. tomnomnom tool https://github.com/tomnomnom/assetfinder

5. theHarvester
   • theHarvester -d DOMAIN -b "anubis, baidu, bing, binaryedge, bingapi, bufferoverun, censys, certspotter, crtsh, dnsdumpster, duckduckgo, fullhunt, github-code, google, hackertarget, hunter, intelx, linkedin, linkedin_links, n45ht, omnisint, otx, pentesttools, projectdiscovery, qwant, rapiddns, rocketreach, securityTrails, spyse, sublist3r, threatcrowd, threatminer, trello, twitter, urlscan, virustotal, yahoo, zoomeye"

6. sub, cloud, js https://github.com/nsonaniya2010/SubDomainizer

7. VHosts / Virtual Hosts: se você encontrou um endereço IP contendo uma ou várias páginas da web pertencentes a subdomínios, você pode tentar encontrar outros subdomínios nesse IP forçando nomes de domínio VHost com força bruta nesse IP.
   • https://github.com/SpiderLabs/HostHunter
8. CORS Brute Force: as vezes você encontrará páginas que retornam apenas o header Access-Control-Allow-Origin quando um domínio/subdomínio válido é definido no cabeçalho Origin
   • ffuf -w subdomains-top1million-5000.txt -u http://10.10.10.208 -H 'Origin: http://FUZZ.crossfit.htb' -mr "Access-Control-Allow-Origin" -ignore-body

• [ ] Shodan passive recon

• passive recon https://github.com/pirxthepilot/wtfis

• passive recon with shodan https://github.com/Dheerajmadhukar/karma_v2

• smap port scan (shodan api free) https://github.com/s0md3v/Smap

  • $ smap DOMAIN or IP

Recon in Cloud based infra

cloud ips:

Amazon: http://bit.ly/2vUSjED

Azure: http://bit.ly/2r7rHeR

Google Cloud: http://bit.ly/2HAsZFm

https://github.com/lord-alfred/ipranges/blob/main/all/ipv4_merged.txt (cloud providers ips)

http://kaeferjaeger.gay/ (cloud providers ips)

• How To Scan AWS’s Entire IP Range to Recon SSL Certificates https://www.daehee.com/blog/scan-aws-ip-ssl-certificates

• [ ] Tools for automate

  • https://github.com/initstring/cloud_enum
  • https://github.com/jordanpotti/CloudScraper
  • https://github.com/projectdiscovery/cloudlist
  • https://github.com/sa7mon/S3Scanner

• [ ] cert transparecy in cloud ips

  • https://github.com/UnaPibaGeek/ctfr

  • https://github.com/cheetz/sslScrape

  • cert transparecy in cloud ips/domains https://github.com/g0ldencybersec/cloudrecon

    • parse cloudrecon tool data collected:

      1. $ grep -F '.DOMAIN.COM' domainfile_DB.txt | awk -F '[][]''{print $2}' | sed 's##\n#g' "DOMAIN.COM" | sort -fu | cut -d ',' -f1 | sort -u

      2. $ grep -F '.DOMAIN.COM' domainfile_DB.txt | awk -F '[][]''{print $2}' | sed 's##\n#g' | sort -fu | cut -d ',' -f1 | sort -u

• [ ] resolve ips to domains via ssl cert

  • https://github.com/hakluke/hakip2host
    • $ prips 173.0.84.0/24 | ./hakip2host

• [ ] CDN checker https://github.com/projectdiscovery/cdncheck

Github

• [ ] cs.github

  • https://github.blog/2021-12-08-improving-github-code-search/

• [ ] Git dorker

  • https://github.com/obheda12/GitDorker

• [ ] git exposed

• $ echo domain.com | subfinder -silent | xargs -I@ sh -c 'goop @ -f'

• https://github.com/arthaud/git-dumper

• https://github.com/nyancrimew/goop

• [ ] github search

• https://gist.github.com/jhaddix/1fb7ab2409ab579178d2a79959909b33

• https://github.com/gwen001

After sub enum

• after subdomain enum verify if domains is active/online
• crawling, params discovery, vulns check

• [ ] Screeshotting: analysis all screeshot and priorize domains to test (eyewitness, aquatone, httpscreenshot)

  • https://github.com/michenriksen/aquatone
  • https://github.com/breenmachine/httpscreenshot
  • https://github.com/RedSiege/EyeWitness

[ ] Pré-Manual Testing and Automation

[ ] Test Layers

• Open Ports and Services
• Web Hosting Software
• Application Framework
• Application Custon Code or COTS
• Application Libraries (usually javascript)

[ ] Tech-Profiling

• webanalyze cli tool (wappalyzer)

[ ] Find cve’s and misconfigs

• nuclei scan for vulns
• gofingerprint (Tanner Barnes)
• Sn1per (@xer0dayz)
• Intrigue Core (jcran)
• Vulners (Burp ext)
• Jaeles Scanner (j3ssi3jjj)
• retire.js

[ ] Service Scanning

• https://github.com/x90skysn3k/brutespray

[ ] Port Scan

• use passive methods first, later if you care use active methods

Content/Parameter/URL Discovery

• Based on tech
• COTS/PAID/OSS (danielmiessler/Source2URL)
• Custom (github.com/0xDexter0us/Scavenger)
• Historical (echo domain.com | gau | wordlistgen | sort -u)
• Recursive (Tip: if you found a 401 dont stop, keep going and go deep)
• Mobile APIs
• Change Detection

• Technologies Tips (web servers and frameworks)

• [ ] waybackmachine content discovery

  • https://github.com/mhmdiaa/chronos
  • https://github.com/daudmalik06/ReconCat
  • https://github.com/tomnomnom/waybackurls

• Tools

  • https://github.com/jaeles-project/gospider
  • https://github.com/projectdiscovery/katana
  • https://github.com/s0md3v/Arjun $ arjun -u url
  • hakrawler https://github.com/hakluke/hakrawler
  • gau https://github.com/lc/gau
  • https://github.com/tomnomnom/unfurl
  • https://github.com/GerbenJavado/LinkFinder
  • turbo intruder
  • Gobuster
  • feroxbuster
  • ParamSpider
  • Parht
  • kxss
  • wfuzz
  • ffuf ffuf -u http://api.com.br/FUZZ -w /usr/share/seclists/Discovery/Web-Content/api/api-endpoints.txt -p 20 -t 1 -c -v -o ffuf_output
  • dirsearch

• $ cat domains.txt | httpx -status | gau

• $ cat domains.txt | httpx -status -ports 80,443,8080 -path /admin

• $ subfinder -d domain.com -silent | aquatone

• $ cat targets | ./feroxbuster --stdin --silent -s 200 301 302 --redirects -x js | fff -s 200 -o js-files

• $ echo domain | waybackurls | unfurl paths

• $ echo domain | waybackurls | unfurl keys

• $ echo domains | waybackurls | gf xss | hakcheckurl

• $ echo domains | subfinder -silent | httpx -silent | katana -silent -d 10 | unfurl keys | uro

[ ] Application Analysis

• [ ] Big Questions

  • how does the app pass data?
  • how and where does the app talk about users?
    • where = cookies, api calls; how = uid, email,username, uuid
  • does the site have multi-users or user levels?
    • App designed for multiple customers
    • App has multiple users levels
      • Admin (cms/framework)
      • account admin
      • account user
      • acount view
      • unauthenticated functionality
  • does the site have a unique threat model? (test PII data)
  • has there been past security research & vulns?
  • how does the app handle tries of xss, csrf, injection (sql, template, …)

• [ ] spidering

  • zaproxy or burp
  • hakcrawler and gospider

• [ ] javascript analysis

  • find some things hardcoded
  • SecretFinder https://github.com/m4ll0k/SecretFinder
  • linkfinder
  • xnLinkFinder (@xnl-h4ck3r)
  • GAP burp ext
  • minified or obfuscated js still needs to be assessed manually

• [ ] hot areas

  • “Places” inside the application where bad things can normally happen
  • Or things i want to look at, that may indicate interesting places to explore from a hacker PoV

• [ ] parameter analysis

  • priorize parameters that were vulnerable to certain vulns classes…
  • gf tomnomnom https://github.com/tomnomnom/gf
  • jhaddix/sus_params
  • Dlafox https://github.com/hahwul/dalfox
  • Gxss https://github.com/KathanP19/Gxss
  • Airixss https://github.com/ferreiraklet/airixss
  • cat url_with_params | uro | gf xss
  • cat url_with_params | uro | gf xss | httpx -t 1 -rlm 4 | qsreplace '"><svg onload=confirm(1)' | airixss -c 1 -p "confirm(1)"
  • cat url_with_params | httpx -t 1 -rlm 4 | Gxss -c 1 -p GELEIA -v -o gxss_out
  • cat wayback_output | Gxss -c 100 -p GELEIA | dalfox pipe --skip-bav --silence

• Adding more constantly…