🔎Recon Like a Boss
source: https://medium.com/@nimmughal799/recon-like-a-boss-9a0065648d10
Last updated
source: https://medium.com/@nimmughal799/recon-like-a-boss-9a0065648d10
Last updated
Reconnaissance, or recon for short, is the process of gathering information about a target with the goal of identifying vulnerabilities and potential attack vectors.
Effective recon is an essential part of any successful web security assessment or penetration testing engagement. However, many beginners find the process daunting and overwhelming, with a seemingly endless array of tools and techniques to choose from.
In this article, we’ll take a step-by-step approach to web recon, starting with the basics and building up to more advanced techniques.
Increase Your Attack Area • Determine Technologies used by Website. • Amazon Web Service (AWS) Recon & Hacking • Github Recon • Content Discovery
Wayback Machine to view old files like robots.txt and URLs
waybackurls.py
Download:
https://gist.github.com/mhmdia/adf6bff70142e5091792841d4b372050
waybackrobots.py
Download:
https://gist.github.com/mhmdiaa/2742c5e147d49a804b408bfed3d32d07
Brute force on main domain
Some scripts to automate this task – Knockpy:- https://github.com/guelfoweb/knock
Usage: ./knockpy target.com
– Sublist3r:- https://github.com/aboul3la/Sublist3r
Usage: python sublist3r.py -d target.com
Find sub-domains with specific open ports
Usage: python sublist3r.py -d target.com -p 80,443
– SubBrute https://github.com/TheRook/subbrute
Usage: ./subbrute.py google.com
You can give list of domains like this Usage: ./subbrute.py -t list.txt
Google Dork site:target.com –site www.target.com
Online Resource:
– https://dnsdumpster.com/ – https://searchdns.netcraft.com/ – https://www.virustotal.com (Go to search and type target.com) – https://crt.sh/?q=%25paypal.com (Use “%target.com”. )
Some website have 5th and 6th level sub-domain
Tool: altdns (https://github.com/infosec-au/altdns) Input : sub-domain list Usage: ./altdns.py -i subdomains.txt -o data_output -w words.txt -r -s output.txt
Tool: SubBrute Usage: ./subbrute.py target.com > sudomains.txt Then ./subbrute.py –t subdomains.txt
Now We Have WaybackURls + Subdomains + Subdomains of Subdomains
Tool: EyeWitness (https://github.com/ChrisTruncer/EyeWitness)
- Provide list of sub-domains and it will give you report with screenshots of sub-domain Usage: ./EyeWitness.py -f subdomains.txt
Tool: Grab Them All (Mozilla addon)
WaybackURls + Subdomains + Subdomains of Subdomains + Other Sites on the same Domain
Url: https://whois.arin.net • Search by Target IP
Yahoo! owns a massive block of IP addresses • From 98.136.0.0–98.139.255.255 • Which is 260,000 unique IP addresses
Patrik Fehrenbach (@ITSecurityguard) Wrote a Bash script to download phpinfo.php file (if found) from Yahoo! IP range (98.136.0.0–98.139.255.255)
• When hacking, consider a company’s entire infrastructure. I know that Patrik has employed similar techniques to find some more. (Eg. Many people keep Backup.rar)
• Additionally, you’ll notice there was 260,000 potential addresses here, which would have been impossible to scan manually.
• When performing this type of testing, automation is hugely important.
Tools used
1- Burp Suite: Proxy 2- Zscanner: A tool designed to scrape a list of URLs. This tool will also scrape .js urls found on each page 3- JS-Scan: A tool designed to scrape a list of .js files and extract urls
Run Spider tool on your target in Burp Suite • Once the spider has finished right click on the host and click “Copy Urls in this host“
Once copied, paste them into urls.txt • Put urls.txt file in the root of Zscanner Eg. c/xampp/htdocs/zscanner/urls.txt • Now open zscanner in browser
Click on “Begin Scanner” • 4 files are outputted in the /outputs/ folder: JS-output.txt, GET-output.txt, POSTHost- output.txt, POSTData-output.txt • Copy JS-output.txt file and put it in the root of JS-Scan root folder Eg. c/xampp/js-scan/JS-output.txt
Open JS-Scan in browser
Click on Run Scanner and you will see something similar to this. That’s it.
• Endpoints extracted from JS files are more vulnerable then Endpoints defined in WebPages. • Automated Scanners generally don’t scan Endpoints defined in JS files. • Developers & Testers don’t care about them.
• Wappalyzer (Mozilla Addon)
AWS Simple Storage Service (often shortened to S3) is used by companies that don’t want to build and maintain their own storage repositories • By using Amazon Simple Storage Service, they can store objects and files on a virtual server instead of on physical racks
After the user has created their bucket, they can start storing their source code, certificates, passwords, content, databases and other data.
You can get full access to S3 bucket • You can download, upload and overwrite files
Google Dork site: amazonaws.com inurl: yahoo • Tool: S3 bucket finder (Download: https://digi.ninja/projects/bucket_finder.php)
Burp Suite can also Help
Install awscli in kali
Interact with Bucket
Find World Writable Directory.
WaybackURls + Subdomains + Subdomains of Subdomains + Other Sites on the same Domain + IP Range + New Endpoints From JS Files + S3 Buckets
• FTP Credentials • Secret Keys [API_key, Aws_secret key, etc.] • Internal credentials [Employee credentials] • API Endpoints • Domain Patterns
Go to github and search Eg. - “target.com” “dev” - “dev.target.com” - “target.com” API_key - “target.com” password - “api.target.com”
Google can also help Dork: site: “github.com” + “Target” + password
Tools are out to automate this • Gitrob • Git-all-secrets • truffleHog • Git-secrets • Repo-supervisor • Do it manually [Best way] – All tools are available on github
Tool- truffleHog
Usage: truffleHog — regex — entropy=False https://github.com/dxa4481/truffleHog.git
• Google is your friend • Use Google Dork to find:- - File Extensions - Parameters - Login Page - Sometimes Directory Structure - Important Stuff
• I often use Google Dork to find files with specific extension which also reveal technology used by Target.
Google Dork: -site:target.com filetype:php - site:target.com filetype:aspx - site:target.com filetype:swf (Shockwave Flash) - site:target.com filetype:wsdl
• Google Dork: - site: target.com inurl:.php?id= - site: target.com inurl:.php?user= - site: target.com inurl:.php?book=
• Google Dork - site: target.com inurl:login.php - site: target.com intext: “login” - site: target.com inurl:portal.php - site: target.com inurl:register.php
(Note: if site has register page, there are chances that site also have login page)
• Google Dork: -site: target.com intext: “index of /”
• Google Dork: -site: target.com filetype:txt - site: target.com inurl:.php.txt -site: target.com ext:txt
In most cases you will find robot.txt But sometimes you will find really juicy stuff
– GoBuster [https://github.com/OJ/gobuster] Use: gobuster –w wordlist.txt –u http://trgt.com – Dirbuster
Thank you for taking the time to read my article . I hope that the information and insights shared here have been valuable and practical for you to apply in your own recon efforts.
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