dasHarvester Email und Subdomain Enumeration Tool Cheat Sheet

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Überblick

dasHarvester ist ein leistungsstarkes OSINT (Open Source Intelligence)-Tool, das für die Erfassung von E-Mail-Adressen, Subdomain-Namen, virtuellen Hosts, offenen Ports, Bannern und Mitarbeiternamen aus verschiedenen öffentlichen Quellen entwickelt wurde. Es wird weit verbreitet von Penetrationsprüfern, Bug-Bounty-Jägern und Sicherheitsforschern für Aufklärung und Informationssammlung während der ersten Phasen der Sicherheitsbewertungen verwendet.

ZEIT Legal Hinweis: Verwenden Sie nur denHarvester auf Domains, die Sie besitzen oder haben ausdrückliche Erlaubnis zu testen. Unberechtigte Aufklärung kann die Nutzungsbedingungen und die lokalen Gesetze verletzen.

Installation

Kali Linux Installation

```bash

theHarvester is pre-installed on Kali Linux

theharvester --help

Update to latest version

sudo apt update sudo apt install theharvester

Alternative: Install from GitHub

git clone https://github.com/laramies/theHarvester.git cd theHarvester sudo python3 -m pip install -r requirements.txt ```_

Ubuntu/Debian Installation

```bash

Install dependencies

sudo apt update sudo apt install python3 python3-pip git

Clone repository

git clone https://github.com/laramies/theHarvester.git cd theHarvester

Install Python dependencies

python3 -m pip install -r requirements.txt

Make executable

chmod +x theHarvester.py

Create symlink for global access

sudo ln -s $(pwd)/theHarvester.py /usr/local/bin/theharvester ```_

Docker Installation

```bash

Pull official Docker image

docker pull theharvester/theharvester

Run with Docker

docker run --rm theharvester/theharvester -d google -l 100 -b example.com

Build from source

git clone https://github.com/laramies/theHarvester.git cd theHarvester docker build -t theharvester .

Run custom build

docker run --rm theharvester -d google -l 100 -b example.com ```_

Python Virtuelle Umgebung

```bash

Create virtual environment

python3 -m venv theharvester-env source theharvester-env/bin/activate

Clone and install

git clone https://github.com/laramies/theHarvester.git cd theHarvester pip install -r requirements.txt

Run theHarvester

python3 theHarvester.py --help ```_

Basisnutzung

Befehlsstruktur

```bash

Basic syntax

theharvester -d -l -b

Common usage pattern

theharvester -d example.com -l 500 -b google

Multiple sources

theharvester -d example.com -l 500 -b google,bing,yahoo

Save results to file

theharvester -d example.com -l 500 -b google -f results.html ```_

Wesentliche Parameter

```bash

Domain to search

-d, --domain DOMAIN

Limit number of results

-l, --limit LIMIT

Data source to use

-b, --source SOURCE

Output file

-f, --filename FILENAME

Start result number

-s, --start START

Enable DNS brute force

-c, --dns-brute

Enable DNS TLD expansion

-t, --dns-tld

Enable port scanning

-p, --port-scan

Take screenshots

-e, --screenshot ```_

Datenquellen

Suchmaschinen suchen

```bash

Google search

theharvester -d example.com -l 500 -b google

Bing search

theharvester -d example.com -l 500 -b bing

Yahoo search

theharvester -d example.com -l 500 -b yahoo

DuckDuckGo search

theharvester -d example.com -l 500 -b duckduckgo

Yandex search

theharvester -d example.com -l 500 -b yandex ```_

Soziale Netzwerke

```bash

LinkedIn search

theharvester -d example.com -l 500 -b linkedin

Twitter search

theharvester -d example.com -l 500 -b twitter

Instagram search

theharvester -d example.com -l 500 -b instagram

Facebook search

theharvester -d example.com -l 500 -b facebook ```_

Fachdatenbanken

```bash

Hunter.io (requires API key)

theharvester -d example.com -l 500 -b hunter

SecurityTrails (requires API key)

theharvester -d example.com -l 500 -b securitytrails

Shodan (requires API key)

theharvester -d example.com -l 500 -b shodan

VirusTotal (requires API key)

theharvester -d example.com -l 500 -b virustotal ```_

Zertifikat Transparenz

```bash

Certificate Transparency logs

theharvester -d example.com -l 500 -b crtsh

Censys (requires API key)

theharvester -d example.com -l 500 -b censys

Certificate Spotter

theharvester -d example.com -l 500 -b certspotter ```_

DNS Quellen

```bash

DNS dumpster

theharvester -d example.com -l 500 -b dnsdumpster

Threat Crowd

theharvester -d example.com -l 500 -b threatcrowd

DNS brute force

theharvester -d example.com -l 500 -b google -c

TLD expansion

theharvester -d example.com -l 500 -b google -t ```_

Erweiterte Techniken

Umfassende Aufklärung

```bash

!/bin/bash

comprehensive-recon.sh

DOMAIN="$1" OUTPUT_DIR="theharvester_results_$(date +%Y%m%d_%H%M%S)"

if [ $# -ne 1 ]; then echo "Usage: $0 " exit 1 fi

mkdir -p "$OUTPUT_DIR"

echo "Starting comprehensive reconnaissance for $DOMAIN"

Search engines

echo "=== Search Engines ===" theharvester -d "$DOMAIN" -l 500 -b google -f "$OUTPUT_DIR/google.html" theharvester -d "$DOMAIN" -l 500 -b bing -f "$OUTPUT_DIR/bing.html" theharvester -d "$DOMAIN" -l 500 -b yahoo -f "$OUTPUT_DIR/yahoo.html"

echo "=== Social Networks ===" theharvester -d "$DOMAIN" -l 500 -b linkedin -f "$OUTPUT_DIR/linkedin.html" theharvester -d "$DOMAIN" -l 500 -b twitter -f "$OUTPUT_DIR/twitter.html"

Certificate transparency

echo "=== Certificate Transparency ===" theharvester -d "$DOMAIN" -l 500 -b crtsh -f "$OUTPUT_DIR/crtsh.html"

DNS sources

echo "=== DNS Sources ===" theharvester -d "$DOMAIN" -l 500 -b dnsdumpster -f "$OUTPUT_DIR/dnsdumpster.html"

DNS brute force

echo "=== DNS Brute Force ===" theharvester -d "$DOMAIN" -l 500 -b google -c -f "$OUTPUT_DIR/dns_brute.html"

All sources combined

echo "=== All Sources Combined ===" theharvester -d "$DOMAIN" -l 1000 -b all -f "$OUTPUT_DIR/all_sources.html"

echo "Reconnaissance complete. Results saved in $OUTPUT_DIR" ```_

API Schlüsselkonfiguration

```bash

Create API keys configuration file

cat > api-keys.yaml ``<< 'EOF' apikeys: hunter: your_hunter_api_key securitytrails: your_securitytrails_api_key shodan: your_shodan_api_key virustotal: your_virustotal_api_key censys: id: your_censys_id secret: your_censys_secret binaryedge: your_binaryedge_api_key fullhunt: your_fullhunt_api_key github: your_github_token EOF

Use configuration file

theharvester -d example.com -l 500 -b hunter --api-keys api-keys.yaml ```_

Analyse von Mustern

```python

!/usr/bin/env python3

email-pattern-analyzer.py

import re import sys from collections import Counter

def analyze_email_patterns(emails): """Analyze email patterns to identify naming conventions""" patterns = [] domains = []

for email in emails:
    if '@' in email:
        local, domain = email.split('@', 1)
        domains.append(domain.lower())

        # Analyze local part patterns
        if '.' in local:
            if len(local.split('.')) == 2:
                patterns.append('firstname.lastname')
            else:
                patterns.append('complex.pattern')
        elif '_' in local:
            patterns.append('firstname_lastname')
        elif any(char.isdigit() for char in local):
            patterns.append('name_with_numbers')
        else:
            patterns.append('single_name')

return patterns, domains

def extract_names_from_emails(emails): """Extract potential names from email addresses""" names = []

for email in emails:
    if '@' in email:
        local = email.split('@')[0]

        # Remove numbers and special characters
        clean_local = re.sub(r'[0-9_.-]', ' ', local)

        # Split into potential name parts
        parts = clean_local.split()
        if len(parts) >``= 2:
            names.extend(parts)

return names

def main(): if len(sys.argv) != 2: print("Usage: python3 email-pattern-analyzer.py ") sys.exit(1)

email_file = sys.argv[1]

try:
    with open(email_file, 'r') as f:
        content = f.read()

    # Extract emails using regex
    email_pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]\\\\{2,\\\\}\b'
    emails = re.findall(email_pattern, content)

    print(f"Found \\\\{len(emails)\\\\} email addresses")
    print("\n=== Email Addresses ===")
    for email in sorted(set(emails)):
        print(email)

    # Analyze patterns
    patterns, domains = analyze_email_patterns(emails)

    print("\n=== Email Patterns ===")
    pattern_counts = Counter(patterns)
    for pattern, count in pattern_counts.most_common():
        print(f"\\\\{pattern\\\\}: \\\\{count\\\\}")

    print("\n=== Domains ===")
    domain_counts = Counter(domains)
    for domain, count in domain_counts.most_common():
        print(f"\\\\{domain\\\\}: \\\\{count\\\\}")

    # Extract names
    names = extract_names_from_emails(emails)
    if names:
        print("\n=== Potential Names ===")
        name_counts = Counter(names)
        for name, count in name_counts.most_common(20):
            if len(name) > 2:  # Filter out short strings
                print(f"\\\\{name\\\\}: \\\\{count\\\\}")

except FileNotFoundError:
    print(f"Error: File \\\\{email_file\\\\} not found")
except Exception as e:
    print(f"Error: \\\\{e\\\\}")

if name == "main": main() ```_

Subdomain Validierung

```bash

!/bin/bash

subdomain-validator.sh

DOMAIN="$1" SUBDOMAIN_FILE="$2"

if [ $# -ne 2 ]; then echo "Usage: $0 " exit 1 fi

echo "Validating subdomains for $DOMAIN"

Extract subdomains from theHarvester results

grep -oE "[a-zA-Z0-9.-]+.$DOMAIN" "$SUBDOMAIN_FILE"|sort -u > temp_subdomains.txt

Validate each subdomain

while read subdomain; do if [ -n "$subdomain" ]; then echo -n "Checking $subdomain: "

    # DNS resolution check
    if nslookup "$subdomain" >/dev/null 2>&1; then
        echo -n "DNS✓ "

        # HTTP check
        if curl -s --connect-timeout 5 "http://$subdomain" >/dev/null 2>&1; then
            echo "HTTP✓"
        elif curl -s --connect-timeout 5 "https://$subdomain" >/dev/null 2>&1; then
            echo "HTTPS✓"
        else
            echo "No HTTP"
        fi
    else
        echo "DNS✗"
    fi
fi

done < temp_subdomains.txt

rm temp_subdomains.txt ```_

Integration mit anderen Tools

Integration mit Nmap

```bash

!/bin/bash

theharvester-nmap-integration.sh

DOMAIN="$1"

if [ $# -ne 1 ]; then echo "Usage: $0 " exit 1 fi

Gather subdomains with theHarvester

echo "Gathering subdomains with theHarvester..." theharvester -d "$DOMAIN" -l 500 -b all -f harvester_results.html

Extract IP addresses and subdomains

grep -oE '([0-9]\\{1,3\\}.)\\{3\\}[0-9]\\{1,3\\}' harvester_results.html|sort -u > ips.txt grep -oE "[a-zA-Z0-9.-]+.$DOMAIN" harvester_results.html|sort -u > subdomains.txt

Scan discovered IPs with Nmap

if [ -s ips.txt ]; then echo "Scanning discovered IPs with Nmap..." nmap -sS -O -sV -oA nmap_ips -iL ips.txt fi

Resolve subdomains and scan

if [ -s subdomains.txt ]; then echo "Resolving and scanning subdomains..." while read subdomain; do ip=$(dig +short "$subdomain"|head -1) if [ -n "$ip" ] && [[ "$ip" =~ ^[0-9]+.[0-9]+.[0-9]+.[0-9]+$ ]]; then echo "$ip $subdomain" >> resolved_hosts.txt fi done < subdomains.txt

if [ -s resolved_hosts.txt ]; then
    nmap -sS -sV -oA nmap_subdomains -iL resolved_hosts.txt
fi

fi

echo "Integration complete. Check nmap_*.xml files for results." ```_

Integration mit Metasploit

```bash

!/bin/bash

theharvester-metasploit-integration.sh

DOMAIN="$1" WORKSPACE="$2"

if [ $# -ne 2 ]; then echo "Usage: $0 " exit 1 fi

Run theHarvester

theharvester -d "$DOMAIN" -l 500 -b all -f harvester_results.html

Extract emails and hosts

grep -oE '\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+.[A-Z|a-z]\\{2,\\}\b' harvester_results.html > emails.txt grep -oE '([0-9]\\{1,3\\}.)\\{3\\}[0-9]\\{1,3\\}' harvester_results.html|sort -u > hosts.txt

Create Metasploit resource script

cat > metasploit_import.rc ``<< EOF workspace -a $WORKSPACE workspace $WORKSPACE

Import hosts

$(while read host; do echo "hosts -a $host"; done < hosts.txt)

Import emails as notes

$(while read email; do echo "notes -a -t email -d \"$email\" -H $DOMAIN"; done < emails.txt)

Run auxiliary modules

use auxiliary/gather/dns_enum set DOMAIN $DOMAIN run

use auxiliary/scanner/http/http_version set RHOSTS file:hosts.txt run

workspace hosts notes EOF

echo "Metasploit resource script created: metasploit_import.rc" echo "Run with: msfconsole -r metasploit_import.rc" ```_

Integration mit Recon-ng

```python

!/usr/bin/env python3

theharvester-recon-ng-integration.py

import subprocess import re import json

class TheHarvesterReconIntegration: def init(self, domain): self.domain = domain self.results = \{ 'emails': [], 'subdomains': [], 'ips': [], 'social_profiles': [] \}

def run_theharvester(self):
    """Run theHarvester and parse results"""
    try:
        # Run theHarvester with multiple sources
        cmd = ['theharvester', '-d', self.domain, '-l', '500', '-b', 'all']
        result = subprocess.run(cmd, capture_output=True, text=True)

        if result.returncode == 0:
            self.parse_results(result.stdout)
        else:
            print(f"theHarvester error: \\\{result.stderr\\\}")

    except Exception as e:
        print(f"Error running theHarvester: \\\{e\\\}")

def parse_results(self, output):
    """Parse theHarvester output"""
    # Extract emails
    email_pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]\\\{2,\\\}\b'
    self.results['emails'] = list(set(re.findall(email_pattern, output)))

    # Extract IPs
    ip_pattern = r'([0-9]\\\{1,3\\\}\.)\\\{3\\\}[0-9]\\\{1,3\\\}'
    self.results['ips'] = list(set(re.findall(ip_pattern, output)))

    # Extract subdomains
    subdomain_pattern = rf'[a-zA-Z0-9.-]+\.\\\{re.escape(self.domain)\\\}'
    self.results['subdomains'] = list(set(re.findall(subdomain_pattern, output)))

def generate_recon_ng_commands(self):
    """Generate Recon-ng commands"""
    commands = [
        f"workspaces create \\\{self.domain\\\}",
        f"workspaces select \\\{self.domain\\\}",
    ]

    # Add domains
    commands.append(f"db insert domains \\\{self.domain\\\}")
    for subdomain in self.results['subdomains']:
        commands.append(f"db insert domains \\\{subdomain\\\}")

    # Add hosts
    for ip in self.results['ips']:
        commands.append(f"db insert hosts \\\{ip\\\}")

    # Add contacts (emails)
    for email in self.results['emails']:
        local, domain = email.split('@', 1)
        commands.extend([
            f"db insert contacts \\\{local\\\} \\\{local\\\} \\\{email\\\}",
            f"db insert domains \\\{domain\\\}"
        ])

    # Add reconnaissance modules
    commands.extend([
        "modules load recon/domains-hosts/hackertarget",
        "run",
        "modules load recon/domains-hosts/threatcrowd",
        "run",
        "modules load recon/hosts-ports/shodan_hostname",
        "run"
    ])

    return commands

def save_recon_ng_script(self, filename="recon_ng_commands.txt"):
    """Save Recon-ng commands to file"""
    commands = self.generate_recon_ng_commands()

    with open(filename, 'w') as f:
        for cmd in commands:
            f.write(cmd + '\n')

    print(f"Recon-ng commands saved to \\\{filename\\\}")
    print(f"Run with: recon-ng -r \\\{filename\\\}")

def export_json(self, filename="theharvester_results.json"):
    """Export results to JSON"""
    with open(filename, 'w') as f:
        json.dump(self.results, f, indent=2)

    print(f"Results exported to \\\{filename\\\}")

def main(): import sys

if len(sys.argv) != 2:
    print("Usage: python3 theharvester-recon-ng-integration.py <domain>``")
    sys.exit(1)

domain = sys.argv[1]

integration = TheHarvesterReconIntegration(domain)
integration.run_theharvester()
integration.save_recon_ng_script()
integration.export_json()

print(f"\nResults Summary:")
print(f"Emails: \\\\{len(integration.results['emails'])\\\\}")
print(f"Subdomains: \\\\{len(integration.results['subdomains'])\\\\}")
print(f"IPs: \\\\{len(integration.results['ips'])\\\\}")

if name == "main": main() ```_

Automatisierung und Schrift

Automatisierte Überwachung

```bash

!/bin/bash

theharvester-monitor.sh

DOMAIN="$1" INTERVAL="$2" # in hours ALERT_EMAIL="$3"

if [ $# -ne 3 ]; then echo "Usage: $0 " exit 1 fi

BASELINE_FILE="baseline_$\\{DOMAIN\\}.txt" CURRENT_FILE="current_$\\{DOMAIN\\}.txt"

Create baseline if it doesn't exist

if [ ! -f "$BASELINE_FILE" ]; then echo "Creating baseline for $DOMAIN" theharvester -d "$DOMAIN" -l 500 -b all > "$BASELINE_FILE" fi

while true; do echo "$(date): Monitoring $DOMAIN"

# Run current scan
theharvester -d "$DOMAIN" -l 500 -b all > "$CURRENT_FILE"

# Compare with baseline
if ! diff -q "$BASELINE_FILE" "$CURRENT_FILE" >/dev/null; then
    echo "Changes detected for $DOMAIN"

    # Generate diff report
    diff "$BASELINE_FILE" "$CURRENT_FILE" > "changes_$\\\\{DOMAIN\\\\}_$(date +%Y%m%d_%H%M%S).txt"

    # Send alert email
    if command -v mail >/dev/null; then
        echo "New information discovered for $DOMAIN"|mail -s "theHarvester Alert: $DOMAIN" "$ALERT_EMAIL"
    fi

    # Update baseline
    cp "$CURRENT_FILE" "$BASELINE_FILE"
fi

# Wait for next interval
sleep $((INTERVAL * 3600))

done ```_

Batch Domain Processing

```python

!/usr/bin/env python3

batch-domain-processor.py

import subprocess import threading import time import os from concurrent.futures import ThreadPoolExecutor, as_completed

class BatchDomainProcessor: def init(self, max_workers=5): self.max_workers = max_workers self.results = \\{\\}

def process_domain(self, domain, sources=['google', 'bing', 'crtsh']):
    """Process a single domain"""
    try:
        print(f"Processing \\\\{domain\\\\}...")

        # Create output directory
        output_dir = f"results_\\\\{domain\\\\}_\\\\{int(time.time())\\\\}"
        os.makedirs(output_dir, exist_ok=True)

        results = \\\\{\\\\}

        for source in sources:
            try:
                output_file = f"\\\\{output_dir\\\\}/\\\\{source\\\\}.html"
                cmd = [
                    'theharvester',
                    '-d', domain,
                    '-l', '500',
                    '-b', source,
                    '-f', output_file
                ]

                result = subprocess.run(
                    cmd,
                    capture_output=True,
                    text=True,
                    timeout=300  # 5 minute timeout
                )

                if result.returncode == 0:
                    results[source] = \\\\{
                        'status': 'success',
                        'output_file': output_file
                    \\\\}
                else:
                    results[source] = \\\\{
                        'status': 'error',
                        'error': result.stderr
                    \\\\}

            except subprocess.TimeoutExpired:
                results[source] = \\\\{
                    'status': 'timeout',
                    'error': 'Command timed out'
                \\\\}
            except Exception as e:
                results[source] = \\\\{
                    'status': 'error',
                    'error': str(e)
                \\\\}

        self.results[domain] = results
        print(f"Completed \\\\{domain\\\\}")

    except Exception as e:
        print(f"Error processing \\\\{domain\\\\}: \\\\{e\\\\}")
        self.results[domain] = \\\\{'error': str(e)\\\\}

def process_domains(self, domains, sources=['google', 'bing', 'crtsh']):
    """Process multiple domains concurrently"""
    with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
        futures = \\\\{
            executor.submit(self.process_domain, domain, sources): domain
            for domain in domains
        \\\\}

        for future in as_completed(futures):
            domain = futures[future]
            try:
                future.result()
            except Exception as e:
                print(f"Error processing \\\\{domain\\\\}: \\\\{e\\\\}")

def generate_summary_report(self, output_file="batch_summary.txt"):
    """Generate summary report"""
    with open(output_file, 'w') as f:
        f.write("theHarvester Batch Processing Summary\n")
        f.write("=" * 40 + "\n\n")

        for domain, results in self.results.items():
            f.write(f"Domain: \\\\{domain\\\\}\n")

            if 'error' in results:
                f.write(f"  Error: \\\\{results['error']\\\\}\n")
            else:
                for source, result in results.items():
                    f.write(f"  \\\\{source\\\\}: \\\\{result['status']\\\\}\n")
                    if result['status'] == 'error':
                        f.write(f"    Error: \\\\{result['error']\\\\}\n")

            f.write("\n")

    print(f"Summary report saved to \\\\{output_file\\\\}")

def main(): import sys

if len(sys.argv) != 2:
    print("Usage: python3 batch-domain-processor.py <domain_list_file>")
    sys.exit(1)

domain_file = sys.argv[1]

try:
    with open(domain_file, 'r') as f:
        domains = [line.strip() for line in f if line.strip()]

    processor = BatchDomainProcessor(max_workers=3)

    print(f"Processing \\\\{len(domains)\\\\} domains...")
    processor.process_domains(domains)
    processor.generate_summary_report()

    print("Batch processing complete!")

except FileNotFoundError:
    print(f"Error: File \\\\{domain_file\\\\} not found")
except Exception as e:
    print(f"Error: \\\\{e\\\\}")

if name == "main": main() ```_

Best Practices

Methoden der Aufklärung

```text 1. Passive Information Gathering: - Start with search engines (Google, Bing) - Use certificate transparency logs - Check social media platforms - Avoid direct contact with target

Source Diversification:
- Use multiple data sources
- Cross-reference findings
- Validate discovered information
- Document source reliability
Rate Limiting:
- Respect API rate limits
- Use delays between requests
- Rotate IP addresses if needed
- Monitor for blocking
Data Validation:
- Verify email addresses exist
- Check subdomain resolution
- Validate IP address ownership
- Confirm social media profiles ```_

Operationelle Sicherheit

```bash

!/bin/bash

opsec-checklist.sh

echo "theHarvester OPSEC Checklist" echo "============================"

echo "1. Network Security:" echo " □ Use VPN or proxy" echo " □ Rotate IP addresses" echo " □ Monitor for rate limiting" echo " □ Use different user agents"

echo -e "\n2. Data Handling:" echo " □ Encrypt stored results" echo " □ Use secure file permissions" echo " □ Delete temporary files" echo " □ Secure API keys"

echo -e "\n3. Legal Compliance:" echo " □ Verify authorization scope" echo " □ Respect terms of service" echo " □ Document activities" echo " □ Follow local laws"

echo -e "\n4. Technical Measures:" echo " □ Use isolated environment" echo " □ Monitor system logs" echo " □ Validate SSL certificates" echo " □ Check for detection" ```_

Fehlerbehebung

Gemeinsame Themen

```bash

Issue: API rate limiting

Solution: Use API keys and implement delays

theharvester -d example.com -l 100 -b google --delay 2

Issue: No results from certain sources

Check if source is available

theharvester -d example.com -l 10 -b google -v

Issue: SSL certificate errors

Disable SSL verification (use with caution)

export PYTHONHTTPSVERIFY=0

Issue: Timeout errors

Increase timeout values in source code

Or use smaller result limits

theharvester -d example.com -l 50 -b google ```_

Debug Mode

```bash

Enable verbose output

theharvester -d example.com -l 100 -b google -v

Check available sources

theharvester -h|grep -A 20 "sources:"

Test specific source

theharvester -d google.com -l 10 -b google

Check API key configuration

cat ~/.theHarvester/api-keys.yaml ```_

Leistungsoptimierung

```bash

Use specific sources instead of 'all'

theharvester -d example.com -l 500 -b google,bing,crtsh

Limit results for faster execution

theharvester -d example.com -l 100 -b google

Use parallel processing for multiple domains

parallel -j 3 theharvester -d \\{\\} -l 500 -b google ::: domain1.com domain2.com domain3.com

Cache DNS results

export PYTHONDONTWRITEBYTECODE=1 ```_

Ressourcen

derHarvester GitHub Repository
dieHarvester-Dokumentation
[OSINT Framework](LINK_5 -%20(__LINK_5___)
(__LINK_5___)

--

*Dieses Betrügereiblatt bietet umfassende Anleitung für die Verwendung des Harvester für OSINT- und Aufklärungsaktivitäten. Stellen Sie immer eine ordnungsgemäße Autorisierung und rechtliche Einhaltung vor, bevor Sie Informationen sammeln Aktivitäten durchführen. *

dasHarvester Email und Subdomain Enumeration Tool Cheat Sheet

Überblick

Installation

Kali Linux Installation

theHarvester is pre-installed on Kali Linux

Update to latest version

Alternative: Install from GitHub

Ubuntu/Debian Installation

Install dependencies

Clone repository

Install Python dependencies

Make executable

Create symlink for global access

Docker Installation

Pull official Docker image

Run with Docker

Build from source

Run custom build

Python Virtuelle Umgebung

Create virtual environment

Clone and install

Run theHarvester

Basisnutzung

Befehlsstruktur

Basic syntax

Common usage pattern

Multiple sources

Save results to file

Wesentliche Parameter

Domain to search

Limit number of results

Data source to use

Output file

Start result number

Enable DNS brute force

Enable DNS TLD expansion

Enable port scanning

Take screenshots

Datenquellen

Suchmaschinen suchen

Google search

Bing search

Yahoo search

DuckDuckGo search

Yandex search

Soziale Netzwerke

LinkedIn search

Twitter search

Instagram search

Facebook search

Fachdatenbanken

Hunter.io (requires API key)

SecurityTrails (requires API key)

Shodan (requires API key)

VirusTotal (requires API key)

Zertifikat Transparenz

Certificate Transparency logs

Censys (requires API key)

Certificate Spotter

DNS Quellen

DNS dumpster

Threat Crowd

DNS brute force

TLD expansion

Erweiterte Techniken

Umfassende Aufklärung

!/bin/bash

comprehensive-recon.sh

Search engines

Social networks

Certificate transparency

DNS sources

DNS brute force

All sources combined

API Schlüsselkonfiguration

Create API keys configuration file

Use configuration file

Analyse von Mustern

!/usr/bin/env python3

email-pattern-analyzer.py