mirror of
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mukul975
254 lines
6.6 KiB
Markdown
254 lines
6.6 KiB
Markdown
# OSINT Gathering Workflows
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## Workflow 1: Domain and Infrastructure Reconnaissance
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### Step 1: Passive DNS and WHOIS
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```bash
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# WHOIS lookup
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whois targetdomain.com
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# DNS record enumeration
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dig targetdomain.com ANY
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dig targetdomain.com MX
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dig targetdomain.com TXT
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dig targetdomain.com NS
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# Reverse DNS
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dig -x <IP_ADDRESS>
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# Zone transfer attempt
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dig axfr @ns1.targetdomain.com targetdomain.com
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```
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### Step 2: Subdomain Enumeration
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```bash
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# Using Subfinder for passive enumeration
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subfinder -d targetdomain.com -o subdomains.txt
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# Using Amass for comprehensive enumeration
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amass enum -passive -d targetdomain.com -o amass_results.txt
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# Certificate Transparency log search
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curl -s "https://crt.sh/?q=%.targetdomain.com&output=json" | jq -r '.[].name_value' | sort -u
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# Using httpx to probe discovered subdomains
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cat subdomains.txt | httpx -status-code -title -tech-detect -o live_subdomains.txt
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```
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### Step 3: IP Range and ASN Discovery
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```bash
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# ASN lookup
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whois -h whois.radb.net -- '-i origin AS12345'
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# BGP prefix lookup via Hurricane Electric
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curl -s "https://bgp.he.net/AS12345#_prefixes"
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# Shodan search for organization
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shodan search "org:Target Corporation" --fields ip_str,port,product
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```
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### Step 4: Cloud Asset Discovery
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```bash
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# AWS S3 bucket enumeration
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python3 cloud_enum.py -k targetcorp -l cloud_results.txt
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# Azure blob storage check
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for name in targetcorp targetcorp-dev targetcorp-backup; do
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curl -s -o /dev/null -w "%{http_code}" "https://${name}.blob.core.windows.net/"
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done
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# GCP bucket check
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gsutil ls gs://targetcorp-*
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```
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## Workflow 2: Personnel Intelligence
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### Step 1: Employee Enumeration
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```bash
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# theHarvester for email and name harvesting
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theHarvester -d targetdomain.com -b all -l 500 -f harvest_results
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# LinkedIn enumeration (manual + tools)
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# Use LinkedIn search operators:
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# site:linkedin.com/in "targetcorp" "security engineer"
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# site:linkedin.com/in "targetcorp" "system administrator"
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# CrossLinked for LinkedIn name harvesting
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python3 crosslinked.py -f '{first}.{last}@targetdomain.com' "Target Corporation"
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```
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### Step 2: Email Validation
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```bash
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# Verify email format using Hunter.io API
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curl "https://api.hunter.io/v2/domain-search?domain=targetdomain.com&api_key=YOUR_KEY"
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# SMTP verification (careful - can be logged)
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# Use tools like EmailHippo or NeverBounce for passive verification
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```
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### Step 3: Social Media Profiling
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```bash
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# Sherlock for username enumeration across platforms
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python3 sherlock username --timeout 5 --output sherlock_results.txt
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# Social media searching
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# Twitter advanced search: from:username targetcorp
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# Instagram: #targetcorp
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# GitHub: org:targetcorp
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```
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## Workflow 3: Credential and Data Leak Discovery
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### Step 1: Breach Database Search
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```bash
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# Have I Been Pwned API check
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curl "https://haveibeenpwned.com/api/v3/breachedaccount/user@targetdomain.com" \
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-H "hibp-api-key: YOUR_KEY"
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# DeHashed search (requires subscription)
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curl "https://api.dehashed.com/search?query=domain:targetdomain.com" \
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-u email:api_key
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```
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### Step 2: GitHub Secret Scanning
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```bash
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# GitDorker for GitHub dorking
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python3 GitDorker.py -tf tokens.txt -d dorks/alldorksv3 -q targetdomain.com
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# truffleHog for repository scanning
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trufflehog github --org=targetcorp --only-verified
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# Manual GitHub dorking
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# Search: "targetdomain.com" password
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# Search: "targetdomain.com" api_key
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# Search: "targetcorp" filename:.env
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# Search: "targetcorp" filename:wp-config.php
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```
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### Step 3: Google Dorking
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```
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# Sensitive files
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site:targetdomain.com filetype:pdf
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site:targetdomain.com filetype:xlsx
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site:targetdomain.com filetype:docx confidential
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# Configuration files
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site:targetdomain.com filetype:xml
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site:targetdomain.com filetype:conf
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site:targetdomain.com filetype:env
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# Login pages and admin panels
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site:targetdomain.com inurl:admin
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site:targetdomain.com inurl:login
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site:targetdomain.com intitle:"index of"
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# Error messages with sensitive info
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site:targetdomain.com "error" "sql" "syntax"
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site:targetdomain.com "php error" "on line"
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```
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## Workflow 4: Technology Stack Identification
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### Step 1: Web Technology Fingerprinting
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```bash
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# Wappalyzer CLI
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wappalyzer https://targetdomain.com
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# WhatWeb for technology identification
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whatweb targetdomain.com -v
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# Nuclei for technology detection
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nuclei -u https://targetdomain.com -t technologies/
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```
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### Step 2: Service and Version Detection
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```bash
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# Nmap service detection (active - requires authorization)
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nmap -sV -sC -p- targetdomain.com -oA nmap_results
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# Shodan host lookup
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shodan host <IP_ADDRESS>
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# Censys host search
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censys search "services.tls.certificates.leaf_data.subject.organization:Target Corp"
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```
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### Step 3: Job Posting Analysis
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```
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# Search job boards for technology mentions:
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# LinkedIn Jobs: "Target Corporation" AND ("AWS" OR "Azure" OR "GCP")
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# Indeed: "Target Corporation" "security" tools
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# Glassdoor: Target Corporation technology stack
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# Look for mentions of:
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# - Cloud platforms (AWS, Azure, GCP)
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# - Security tools (CrowdStrike, Carbon Black, Splunk)
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# - Development languages and frameworks
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# - Network equipment vendors (Cisco, Palo Alto, Fortinet)
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# - Identity providers (Okta, Azure AD, Ping Identity)
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```
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## Workflow 5: Physical Intelligence
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### Step 1: Location Mapping
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```
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# Google Maps reconnaissance:
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# - Office locations and building layouts
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# - Parking areas and entry points
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# - Nearby businesses for staging
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# - Delivery entrance locations
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# Google Street View:
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# - Access control systems (card readers, turnstiles)
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# - Security camera locations
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# - Badge/lanyard colors and designs
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# - Building signage
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```
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### Step 2: Document Metadata Extraction
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```bash
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# ExifTool for document metadata
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exiftool -r -ext pdf -ext docx -ext xlsx ./downloaded_documents/
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# FOCA for metadata analysis (Windows)
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# Import documents and analyze:
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# - Author names and usernames
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# - Software versions
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# - Internal file paths
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# - Printer names and network paths
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```
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## Workflow 6: OSINT Report Compilation
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### Report Structure
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```
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1. Executive Summary
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- Key findings overview
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- Risk assessment
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2. Attack Surface Map
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- External infrastructure diagram
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- Domain and subdomain inventory
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- Exposed services and applications
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3. Personnel Intelligence
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- Key personnel profiles
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- Email address list
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- Organizational chart
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4. Credential Exposure
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- Breach database findings
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- Leaked secrets and API keys
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- Password pattern analysis
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5. Technology Stack
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- Identified technologies and versions
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- Known vulnerabilities for detected versions
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- Security tool coverage gaps
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6. Recommended Attack Vectors
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- Prioritized initial access options
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- Social engineering target list
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- Technical vulnerability targets
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```
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