Conducting External Reconnaissance with OSINT

When to Use

Performing the initial reconnaissance phase of a penetration test to gather intelligence before active scanning
Mapping an organization's external attack surface to identify unknown or shadow IT assets
Collecting employee information, email formats, and organizational structure for social engineering campaigns
Identifying exposed credentials, leaked data, or sensitive documents published on the internet
Scoping the breadth of an organization's digital footprint prior to a red team engagement

Do not use for stalking, harassment, or unauthorized surveillance of individuals. OSINT gathering must be conducted within the scope of an authorized engagement and comply with applicable privacy laws (GDPR, CCPA).

Prerequisites

Written authorization to perform reconnaissance against the target organization
Dedicated research workstation with a VPN or Tor for anonymized queries when required
OSINT framework tools installed: Amass, theHarvester, Shodan CLI, Recon-ng, SpiderFoot
API keys for Shodan, Censys, SecurityTrails, Hunter.io, VirusTotal, and GitHub for enhanced results
Disposable email accounts for accessing services that require registration during research

Workflow

Step 1: Domain and DNS Enumeration

Enumerate all domains, subdomains, and DNS records associated with the target:

Root domain identification: Start with the primary domain and identify all related domains through reverse WHOIS lookups on registrant name, email, and organization using
```
whoxy.com
```
or
```
domaintools.com
```

Subdomain enumeration: Run multiple tools for comprehensive coverage:

```
amass enum -passive -d target.com -o amass_subs.txt
```
for passive subdomain discovery from 40+ data sources

subfinder -d target.com -all -o subfinder_subs.txt

for fast passive enumeration

crt.sh

certificate transparency log queries:

curl -s "https://crt.sh/?q=%25.target.com&output=json" | jq -r '.[].name_value' | sort -u

DNS record analysis: Query for all record types:
```
dig target.com ANY
```
, check for SPF, DKIM, DMARC records that reveal email infrastructure, and enumerate MX records to identify email providers
Zone transfer attempt:
```
dig axfr @ns1.target.com target.com
```
to check for misconfigured DNS servers
Consolidate results: Merge, deduplicate, and resolve all discovered subdomains to IP addresses. Map IP addresses to ASN and hosting providers.

Step 2: Infrastructure and Service Discovery

Identify internet-facing infrastructure without directly scanning target systems:

Shodan:
```
shodan search "ssl.cert.subject.cn:target.com"
```
to find all internet-facing services with TLS certificates for the target domain. Also search by organization name and IP ranges.
Censys: Search for target's IP ranges and TLS certificates to identify services, technologies, and potential vulnerabilities indexed from internet-wide scanning
Cloud asset discovery: Check for S3 buckets (
```
target-com
```
,
```
target-backup
```
,
```
target-dev
```
), Azure Blob storage (
```
target.blob.core.windows.net
```
), and GCP storage using tools like
```
cloud_enum
```
WAF and CDN identification: Use
```
wafw00f target.com
```
to identify web application firewalls and CDN providers that may mask the origin server IP
Historical data: Use Wayback Machine (
```
web.archive.org
```
) to find removed pages, old application versions, and forgotten endpoints

Step 3: Email and Personnel Intelligence

Gather employee information and email addresses for social engineering preparation:

Email harvesting:
```
theHarvester -d target.com -b all -f harvest_results.html
```
to collect emails from search engines, LinkedIn, and data sources
Email format identification: Use
```
hunter.io
```
to determine the email format (first.last, flast, firstl) and verify deliverability
LinkedIn reconnaissance: Identify employees by department, particularly IT administrators, security team members, and executives. Note technologies mentioned in job postings and employee profiles.
Organizational chart: Build an org chart from LinkedIn data to understand reporting structures, identify key personnel, and map departments
Social media analysis: Review employee social media profiles for information about internal tools, technologies, office locations, badge photos, and security practices
Job postings: Analyze current and historical job postings on the company career page and job boards for technology stack details, tools, and infrastructure information

Step 4: Credential and Data Leak Analysis

Search for exposed credentials and sensitive data:

Breach databases: Check
```
haveibeenpwned.com
```
API for breached email addresses associated with the target domain
Paste sites: Search Pastebin, GitHub Gists, and similar paste sites for leaked credentials, configuration files, or internal documents
Code repositories: Search GitHub, GitLab, and Bitbucket for:
- ```
org:target "password"
```
  ,
```
org:target "api_key"
```
  ,
```
org:target "secret"
```
- Use
```
trufflehog
```
  or
```
gitleaks
```
  for automated secret scanning across the target's public repositories
Document metadata: Download publicly available documents (PDF, DOCX, XLSX) from the target website and extract metadata using
```
exiftool
```
to reveal internal usernames, software versions, printer names, and file paths
Google dorking: Use targeted search operators:
- ```
site:target.com filetype:pdf
```
  for public documents
- ```
site:target.com inurl:admin
```
  for admin panels
- ```
site:target.com "index of /"
```
  for directory listings
- ```
site:pastebin.com "target.com"
```
  for paste site mentions

Step 5: Technology Stack Profiling

Identify the technologies, frameworks, and services used by the target:

Web technology fingerprinting: Use
```
whatweb target.com
```
or Wappalyzer browser extension to identify CMS, frameworks, JavaScript libraries, analytics, and server software
SSL/TLS analysis:
```
sslyze target.com
```
or
```
testssl.sh target.com
```
to identify cipher suites, protocol versions, certificate details, and cryptographic weaknesses
JavaScript analysis: Download and review JavaScript files for framework identifiers, API endpoints, internal hostnames, and version strings
DNS-based service identification: Review TXT records for service providers (e.g.,
```
v=spf1 include:_spf.google.com
```
indicates Google Workspace,
```
MS=msXXXXXX
```
indicates Microsoft 365)
Mobile app analysis: Download the target's mobile applications from app stores and analyze with
```
apktool
```
(Android) or
```
frida
```
for hardcoded URLs, API endpoints, and embedded credentials

Key Concepts

Term	Definition
OSINT	Open Source Intelligence; intelligence collected from publicly available sources including websites, social media, public records, and government data
Passive Reconnaissance	Information gathering without directly interacting with target systems, leaving no footprint in target logs
Active Reconnaissance	Information gathering that involves direct interaction with target systems (scanning, probing) and may be logged
Certificate Transparency	Public logs of TLS certificates issued by certificate authorities, queryable to discover subdomains and infrastructure
Attack Surface	The sum of all points where an unauthorized user can attempt to enter or extract data from an environment
Google Dorking	Using advanced Google search operators to find sensitive information indexed by search engines that was not intended to be public
Shadow IT	Technology systems and services deployed by employees or departments without the knowledge or approval of the IT department

Tools & Systems

Amass (OWASP): Comprehensive subdomain enumeration tool that combines passive sources, DNS brute-forcing, and certificate transparency log analysis
Shodan: Internet-wide scanning database that indexes services, banners, and metadata for internet-connected devices, searchable by IP, domain, or organization
theHarvester: OSINT tool for gathering emails, subdomains, hosts, employee names, and open ports from public sources
SpiderFoot: Automated OSINT collection platform that queries 200+ data sources and correlates findings into a unified graph
Recon-ng: Modular web reconnaissance framework with a database backend for organizing and cross-referencing discovered intelligence

Common Scenarios

Scenario: Pre-Engagement Reconnaissance for a Red Team Exercise

Context: A technology company has contracted a red team assessment. Before active testing begins, the team conducts passive OSINT to map the attack surface and identify potential entry points. The target is a SaaS company with 500 employees and a primary domain of techcorp.io.

Approach:

Enumerate 147 subdomains via Amass and crt.sh, including staging.techcorp.io, jenkins.techcorp.io, and vpn.techcorp.io
Shodan reveals a forgotten Elasticsearch instance on port 9200 with no authentication exposed to the internet
theHarvester collects 89 employee email addresses, revealing the format first.last@techcorp.io
GitHub search discovers a former developer's public repository containing a
```
.env
```
file with AWS access keys
LinkedIn analysis reveals the company uses Okta for SSO, Jira for project management, and AWS for hosting
Google dorking finds a directory listing on docs.techcorp.io exposing internal architecture diagrams
Compile all intelligence into a reconnaissance report that feeds directly into the threat modeling and attack planning phases

Pitfalls:

Relying on a single subdomain enumeration tool and missing assets found by other tools using different data sources
Failing to check cloud storage services (S3, Azure Blob, GCP) for publicly accessible buckets
Not searching for credentials in public code repositories, which frequently yield immediate access
Conducting active scanning (port scans, vulnerability scans) during what should be a passive-only phase

Output Format

## External Reconnaissance Report - TechCorp.io

### Attack Surface Summary
- **Domains discovered**: 3 (techcorp.io, techcorp.com, techcorpapp.com)
- **Subdomains enumerated**: 147 unique subdomains across all domains
- **Unique IP addresses**: 34 IPs mapped across AWS us-east-1 and us-west-2
- **Email addresses collected**: 89 valid corporate email addresses
- **Exposed services**: 12 internet-facing services identified via Shodan/Censys

### Critical Findings

**1. Unauthenticated Elasticsearch Instance**
- Host: 52.xx.xx.xx:9200 (elastic.techcorp.io)
- Indexed data: Application logs containing user session tokens and PII
- Source: Shodan search "ssl.cert.subject.cn:techcorp.io"

**2. AWS Credentials in Public GitHub Repository**
- Repository: github.com/former-dev/techcorp-scripts
- File: .env containing AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY
- Status: Keys appear active (not tested - out of scope for passive recon)

**3. Directory Listing Exposing Internal Documents**
- URL: https://docs.techcorp.io/internal/
- Contents: Architecture diagrams, network topology, runbooks
- Source: Google dork "site:techcorp.io intitle:index.of"

### Recommendations
1. Immediately rotate the exposed AWS credentials and audit CloudTrail logs
2. Restrict Elasticsearch access to internal networks or add authentication
3. Disable directory listings on docs.techcorp.io and audit all web servers
4. Implement GitHub secret scanning across all organization repositories

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