Breaching, Poisoning and Bypassing AI-powered Anti-fraud System

[Professor]

The Complete Carder's Guide to Infiltration, Analysis, and Manipulation of Fraud Engines​

Bro, up to now we've covered the basics of AI anti-fraud systems — their weaknesses and how to bypass their detection methods from the outside. But let's be honest: sometimes you're just rolling the dice. Maybe you need the cardholder to have a flawless history of interactions with the fraud protection system. Maybe you're dealing with strict 3DS requirements or those pesky EU cards with SCA. Or maybe the fraud protection system is already too familiar with your device fingerprint after a few days and a few transactions.

In those cases, the resources required to maintain a working method multiply faster than your profits. You're burning through proxies, constantly changing anti-detection browsers, and praying to the fraud gods that your next attempt doesn't trigger a security flag.

But what if I told you there's a better way? This is a two-part guide that will change your approach to carding forever. In Part 1, we'll go behind the scenes — accessing these anti-fraud systems to understand exactly why your cards are being declined, and how to evaluate your transactions. In Part 2, we'll go further and show you how to completely break their detection capabilities by poisoning their data.

Today, we're focused on accessing and using these systems to your advantage. It's not just about understanding how they work — it's about using their own tools to check your cards before you burn them.

Warning: This method primarily works against third-party anti-fraud systems like Riskified, Signifyd, Forter, and SEON. If you're going against built-in fraud processors like Stripe Radar or Adyen Risk Engine, the effectiveness drops significantly, since they have direct access to payment data and transaction patterns that third-party systems can't see.

PART 1: THE ANATOMY OF AI ANTI-FRAUD​

1.1. How These Systems Work​

AI anti-fraud systems aren't just fancy algorithms that check whether your IP address matches your billing address. They're huge, data-hungry beasts that watch and learn from billions of transactions across thousands of merchants.

What they collect:

Data Category	Examples	Weight in Scoring
Device fingerprint	OS, browser, resolution, fonts, Canvas	20-30%
Behavioral patterns	Typing speed, mouse movements, scroll	15-25%
Transaction amounts	Typical amounts, deviations	10-15%
Time between purchases	Frequency patterns	5-10%
Merchant categories	Typical purchases	5-10%
IP addresses	Geolocation, network type	10-15%
Email	Age, domain, reputation	5-10%
Chargeback history	Lifetime trace	10-20%

The core question AI asks: "Does this transaction match the historical pattern we've seen with this card across our entire network?"

1.2. How AI Learns​

1.3. Why Card Reuse is Suicide​

Even if you change everything else, you create a profile in their database that screams "I'm fraud."

What happens:

Attempt	AI Action	Result
1st	Profile creation: card + device + behavior	Neutral
2nd (failed)	Red flag on profile	-10 trust
3rd (failed)	Flag reinforcement	-25 trust
4th	Profile marked as "fraud"	Card burned

Conclusion: Every failed attempt is another red flag associated with the card number and your device fingerprint.

1.4. The Black Box Problem​

These systems intentionally keep you in the dark, never telling you the real reason for a decline. They won't say: "Declined: this card has had 17 failed attempts on our network in the last week." They'll just hit you with generic nonsense.

That's why access to these systems is so important:

Without Access	With Access
You don't know the reason for decline	You see applied rules
You burn cards blindly	You check before using
You waste proxies	You optimize settings
You don't see patterns	You analyze data

PART 2: GAINING ACCESS TO ANTI-FRAUD SYSTEMS​

2.1. Access Difficulty Levels​

Provider	Dashboard URL	Difficulty	Requirements	Time
SEON	admin.seon.io	Low	Basic verification	1-2 days
Signifyd	app.signifyd.com	Medium	Business front	1-2 weeks
Riskified	app.riskified.com	Medium	Business front	1-2 weeks
Ravelin	dashboard.ravelin.com	Medium	Business front	1-2 weeks
Forter	portal.forter.com	High	Video calls, documents	3-4 weeks

2.2. SEON — The Entry Point​

Why SEON:

• Hungry for business
• Basic verification
• No video calls
• Easy to bypass
• Fast registration

Problem: Few large sites use SEON.

Step-by-step registration:

1. Go to seon.io
2. Click "Sign Up" or "Get Started"
3. Fill in basic business information
4. Confirm email
5. Get API key

2.3. Signifyd and Riskified — Medium Level​

What you need:

• Legitimate business front
• Email verification
• Conversation with sales team
• Steel balls and a solid front

Step-by-step process:

1. Create business front (see section 2.6)
2. Fill out form on website
3. Wait for sales call
4. Pass verification
5. Get access

2.4. Forter — The Final Boss​

What you need:

• Video calls
• Business record checks
• Evidence that would make law enforcement envious
• Don't waste time unless you're planning a large-scale attack

2.5. Ravelin — The Alternative​

What you need:

• Business front
• Basic verification
• Fewer requirements than Forter

2.6. Step-by-Step Business Front Creation​

Step 1: Domain

# Buy on Namecheap
# Price: $10-15
# TLD: .com, .co, .io
# Required: privacy protection

Step 2: Shopify Store

1. Register on Shopify
2. Choose a theme (electronics or fashion)
3. Set up basic pages:
   • About Us
   • Contact Us
   • Shipping Policy
   • Return Policy
   • Privacy Policy

Step 3: Content

# Use AI to generate:
- Business name
- Product descriptions
- About page
- Policies

# Download images from:
- Legitimate stores
- Unsplash
- Pexels

Step 4: Professional Email

Format: firstname@domain.com
Example: john@techstore.com

Set up:
- Signature with title
- Autoresponder
- Professional tone

Step 5: LinkedIn Profile

- Create a boring corporate profile
- Add work experience
- Add education
- The more mundane, the better

2.7. Alternative: Buying Logs​

Why it's easier:

Parameter	Own Registration	Buying Logs
Time	1-4 weeks	Instant
Cost	$100-500	$10-100
Risk	Medium	Low
Paper trail	Yes	No
Access to vendors	1	Multiple

What to look for:

• Sellers who don't sell burned accounts
• Verified sellers on forums
• Reviews from real buyers
• Replacement guarantee

PART 3: ASSESSING YOUR TRANSACTIONS​

3.1. Three Possible Responses​

Response	Meaning	Merchant Action
APPROVED	Transaction looks clean	Process payment
VIEW	Suspicious, but not obvious scam	Manual review
REJECT	High-risk transaction	Block

3.2. Risk Score​

Merchants receive a risk score from 0 to 100:

Range	Risk Level	Merchant Action	Your Action
0-30	Very low	Auto-approve	Use
31-50	Low	Auto-approve	Use
51-70	Medium	Manual review	Fix issues
71-85	High	Manual review	Don't use
86-100	Very high	Auto-decline	Don't use

3.3. Merchant Setting Flexibility​

Key insight: Merchants control how strictly they follow recommendations.

Merchant Type	Setting	Example	Success Chance
Strict	Rejects > 50	Best Buy	Low
Medium	Manual review up to 80	Mid-size stores	Medium
Loose	Approves high risk	Small stores	High

This explains why the same card works on one site but not another.

3.4. Data Sharing Between Systems​

Important: These systems share data. A declined transaction at a random merchant registers in the network and can ruin future attempts at all merchants using that vendor.

That's why we gain access to systems — to use their AI to evaluate our transactions before real attempts.

PART 4: PRACTICAL API USAGE​

4.1. SEON API — Complete Guide​

Step 1: Get API key

# Register on seon.io
# Find API key in dashboard
# Format: your_api_key_here

Step 2: Basic CURL request

curl https://api.seon.io/SeonRestService/fraud-api/v2/ \
-X POST \
-H "X-API-KEY: your_api_key" \
-H "Content-Type: application/json; charset=UTF-8" \
-d '{
"config": {
"ip": {"include": "flags,history,id", "version": "v1"},
"aml": {"version": "v1", "monitoring_required": true},
"email": {"include": "flags,history,id", "version": "v2"},
"phone": {"include": "flags,history,id", "version": "v1"},
"ip_api": true,
"email_api": true,
"phone_api": true,
"aml_api": true,
"device_fingerprinting": true
},
"ip": "192.168.1.1",
"action_type": "purchase",
"transaction_id": "txn_123456",
"email": "example@domain.com",
"user_fullname": "Jane Doe",
"user_firstname": "Jane",
"user_lastname": "Doe",
"user_dob": "1985-05-15",
"user_country": "US",
"user_city": "Los Angeles",
"user_region": "CA",
"user_zip": "90210",
"user_street": "456 Elm St",
"payment_mode": "credit_card",
"card_fullname": "Jane Doe",
"card_bin": "411111",
"card_last": "1234",
"card_expire": "12/2025",
"avs_result": "Y",
"cvv_result": "M",
"payment_provider": "Visa",
"phone_number": "+1234567890",
"transaction_type": "online",
"transaction_amount": "299.99",
"transaction_currency": "USD",
"items": [{
"item_id": "item_001",
"item_quantity": "1",
"item_name": "Gadget",
"item_price": "299.99",
"item_category": "Electronics"
}],
"shipping_country": "US",
"shipping_city": "Los Angeles",
"shipping_region": "CA",
"shipping_zip": "90210",
"billing_country": "US",
"billing_city": "Los Angeles",
"billing_region": "CA",
"billing_zip": "90210"
}'

Step 3: Advanced request with full data

curl https://api.seon.io/SeonRestService/fraud-api/v2/ \
-X POST \
-H "X-API-KEY: your_api_key" \
-H "Content-Type: application/json; charset=UTF-8" \
-d '{
"config": {
"ip": {"include": "flags,history,id", "version": "v1"},
"aml": {"version": "v1", "monitoring_required": true},
"email": {"include": "flags,history,id", "version": "v2"},
"phone": {"include": "flags,history,id", "version": "v1"},
"ip_api": true,
"email_api": true,
"phone_api": true,
"aml_api": true,
"device_fingerprinting": true
},
"ip": "192.168.1.1",
"action_type": "purchase",
"transaction_id": "txn_123456",
"affiliate_id": "aff_78910",
"order_memo": "Test order",
"email": "example@domain.com",
"email_domain": "domain.com",
"password_hash": "5f4dcc3b5aa765d61d8327deb882cf99",
"user_fullname": "Jane Doe",
"user_firstname": "Jane",
"user_middlename": "A",
"user_lastname": "Doe",
"user_dob": "1985-05-15",
"user_pob": "New York",
"user_photoid_number": "98765",
"user_id": "654321",
"user_name": "janedoe",
"user_created": "2023-01-01",
"user_country": "US",
"user_city": "Los Angeles",
"user_region": "CA",
"user_zip": "90210",
"user_street": "456 Elm St",
"user_street2": "Apt 9C",
"session": "session_12345",
"payment_mode": "credit_card",
"card_fullname": "Jane Doe",
"card_bin": "411111",
"card_hash": "abcd1234efgh5678",
"card_last": "1234",
"card_expire": "12/2025",
"avs_result": "Y",
"cvv_result": "M",
"payment_provider": "Visa",
"phone_number": "+1234567890",
"transaction_type": "online",
"transaction_amount": "299.99",
"transaction_currency": "USD",
"brand_id": "brand_123",
"items": [{
"item_id": "item_001",
"item_quantity": "1",
"item_name": "Gadget",
"item_price": "299.99",
"item_store": "Gadget Store",
"item_store_country": "US",
"item_category": "Electronics",
"item_url": "https://example.com/gadget",
"item_custom_fields": {"Color": "Black", "RAM": "8GB"}
}],
"shipping_country": "US",
"shipping_city": "Los Angeles",
"shipping_region": "CA",
"shipping_zip": "90210",
"shipping_street": "456 Elm St",
"shipping_street2": "Apt 9C",
"shipping_phone": "+1234567890",
"shipping_fullname": "Jane Doe",
"shipping_method": "Standard",
"billing_country": "US",
"billing_city": "Los Angeles",
"billing_region": "CA",
"billing_zip": "90210",
"billing_street": "456 Elm St",
"billing_street2": "Apt 9C",
"billing_phone": "+1234567890",
"discount_code": "DISCOUNT10",
"gift": "false",
"gift_message": "",
"merchant_id": "shop_123",
"details_url": "https://example.com/orderdetails",
"custom_fields": {}
}'

4.2. Reading SEON Response​

{
"success": true,
"error": {},
"data": {
"id": "67c2810c2de1",
"state": "DECLINE",
"fraud_score": 95.75,
"blackbox_score": 93.25,
"bin_details": {
"card_bin": "411111",
"bin_bank": "VERMONT NATIONAL BANK",
"bin_card": "VISA",
"bin_type": "CREDIT",
"bin_level": "CLASSIC",
"bin_country": "UNITED STATES",
"bin_country_code": "US",
"bin_website": "www.vermontnationalbank.com",
"bin_phone": "+1 802 476 0030",
"bin_valid": true,
"card_issuer": "VISA"
},
"version": "v2",
"applied_rules": [
{
"id": "P106",
"name": "Customer is using a datacenter ISP",
"operation": "+",
"score": 10.0
},
{
"id": "P110",
"name": "IP address was found on 4 spam blacklists",
"operation": "+",
"score": 4.0
},
{
"id": "P112",
"name": "Customer is using public proxy",
"operation": "+",
"score": 10.0
},
{
"id": "E123",
"name": "Email is not similar to user full name",
"operation": "+",
"score": 1.0
}
],
"device_details": {
"os": "MacOS",
"type": "web",
"browser": "FIREFOX10",
"private": true,
"platform": "MacIntel",
"user_agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:102.0) Gecko/20100101 Firefox/102.0",
"device_type": "desktop",
"screen_resolution": "1600x800"
},
"ip_details": {
"ip": "192.168.1.1",
"score": 24.0,
"country": "US",
"state_prov": "California",
"city": "Los Angeles",
"type": "DCH",
"tor": false,
"vpn": false,
"web_proxy": false,
"public_proxy": true,
"spam_number": 4
},
"email_details": {
"email": "example@domain.com",
"score": 2.11,
"deliverable": true,
"domain_details": {
"domain": "domain.com",
"registered": true,
"disposable": false,
"free": false,
"custom": true
}
},
"calculation_time": 2327
}
}

4.3. Analyzing the Response​

Fraud Score:

Range	Meaning	Action
0-50	Low risk	Use
51-80	Medium risk	Fix
81-100	High risk	Don't use

Applied Rules:

Rule	Meaning	What to Do
P106	Datacenter ISP	Use residential proxy
P110	IP in spam blacklists	Change proxy
P112	Public proxy	Use private proxy
E123	Email doesn't match name	Create matching email
C101	High-risk BIN	Use different BIN
V101	Velocity exceeded	Wait

Device Details:

• OS, browser, resolution — all analyzed
• Make sure everything is consistent with proxy

IP Details:

• Type: DCH (datacenter), RES (residential), MOB (mobile)
• Tor, VPN, proxy flags
• Spam number — number of blacklists

PART 5: OTHER PROVIDERS' APIs​

5.1. Signifyd​

# Production
curl https://api.signifyd.com/v3/orders \
-X POST \
-H "X-SIGNIFYD-API-KEY: your_api_key" \
-H "Content-Type: application/json" \
-d '{
"orderId": "order_123",
"email": "example@domain.com",
"card": {
"bin": "411111",
"last4": "1234",
"expiryMonth": 12,
"expiryYear": 2025
},
"billing": {
"name": "Jane Doe",
"address": "456 Elm St",
"city": "Los Angeles",
"region": "CA",
"postalCode": "90210",
"country": "US"
},
"shipping": {
"name": "Jane Doe",
"address": "456 Elm St",
"city": "Los Angeles",
"region": "CA",
"postalCode": "90210",
"country": "US"
},
"amount": 299.99,
"currency": "USD"
  }'

5.2. Riskified​

# Production
curl https://wh.riskified.com/api/v2/orders \
-X POST \
-H "X-RISKIFIED-SHOP-DOMAIN: your_shop_domain" \
-H "Content-Type: application/json" \
-H "HMAC-SHA256: calculated_hmac" \
-d '{
"order": {
"id": "order_123",
"email": "example@domain.com",
"created_at": "2026-01-01T00:00:00Z",
"currency": "USD",
"total_price": 299.99,
"customer": {
"email": "example@domain.com",
"first_name": "Jane",
"last_name": "Doe"
},
"payment_details": [{
"card_bin": "411111",
"card_last4": "1234"
}]
}
  }'

5.3. Forter​

# Production
curl https://api.forter.com/v2/orders/validation \
-X POST \
-H "api-version: 2.36" \
-H "x-forter-siteid: your_site_id" \
-H "Authorization: Bearer your_api_key" \
-H "Content-Type: application/json" \
-d '{
"orderId": "order_123",
"orderType": "WEB",
"createdAt": "2026-01-01T00:00:00Z",
"customer": {
"email": "example@domain.com",
"firstName": "Jane",
"lastName": "Doe"
},
"payment": [{
"cardBin": "411111",
"cardLast4": "1234"
}],
"total": {
"amount": 299.99,
"currency": "USD"
}
  }'

5.4. Provider Comparison​

Provider	Access Difficulty	API Complexity	Features	Best For
SEON	Low	Low	Best for start	Beginners
Signifyd	Medium	Medium	Email age matters	Mid-level
Riskified	Medium	Medium	HMAC required	Mid-level
Forter	High	High	Device fingerprint critical	Pros

PART 6: SYSTEM SETUP​

6.1. Technical Requirements​

Component	Requirement	Cost	Where to Buy
Proxy	Residential, IPQS > 80	$15-30/GB	Bright Data, IPRoyal
Antidetect	Linken Sphere, Octo	$19-50/mo	Official sites
API Access	SEON/Signifyd/etc	$50-500/mo	Direct registration
VPS	For API requests	$10-20/mo	DigitalOcean, Vultr
Domain	For business front	$10-15	Namecheap

6.2. Step-by-Step Setup​

Step 1: Proxy Setup

# 1. Buy residential proxy
# 2. Check via IPQS:
curl "https://ipqualityscore.com/api/json/ip/YOUR_API_KEY/192.168.1.1"

# 3. Ensure:
# - IPQS score > 80
# - Type: RES or MOB
# - Not in blacklists

Step 2: Antidetect Setup

1. Create profile in Octo/Linken Sphere
2. Configure:
- Timezone = proxy timezone
- Language = en-US
- Resolution = 1920x1080
- WebRTC = disabled
- Canvas = noise
- WebGL = consistent
3. Check on browserleaks.com

Step 3: API Setup

# 1. Get API key
# 2. Set up VPS:
ssh root@your_vps_ip

# 3. Install curl:
apt-get install curl

# 4. Test request:
curl https://api.seon.io/SeonRestService/fraud-api/v2/ \
-X POST \
-H "X-API-KEY: your_api_key" \
-H "Content-Type: application/json" \
  -d '{"ip": "192.168.1.1", "action_type": "purchase"}'

Step 4: Business Front Creation (if needed)

1. Buy domain on Namecheap
2. Create Shopify store
3. Generate content via AI
4. Create email
5. Create LinkedIn
6. Prepare documents

6.3. Security​

Rules:

• □ Separate VPS for API
• □ Don't use main email
• □ Proxy rotation
• □ Log cleaning
• □ Don't store API keys in plain text
• □ Use environment variables
• □ Encrypt sensitive data

PART 7: MISTAKES AND HOW TO FIX THEM​

7.1. Mistake: API Returns Error​

Causes:

1. Wrong API key
2. Wrong request format
3. Rate limit exceeded
4. Wrong endpoint

Fix:

# Check key:
echo $API_KEY

# Check format:
curl -v https://api.seon.io/SeonRestService/fraud-api/v2/

# Check limit:
# In SEON dashboard

# Check endpoint:
# SEON documentation

7.2. Mistake: High Fraud Score​

Causes:

1. Datacenter IP
2. Public proxy
3. Email doesn't match name
4. Device fingerprint inconsistent
5. High-risk BIN

Fix:

# 1. Check proxy:
curl "https://ipqualityscore.com/api/json/ip/YOUR_API_KEY/YOUR_IP"

# 2. If DCH → buy residential
# 3. If public proxy → buy private
# 4. If email mismatch → create new
# 5. If device inconsistent → configure antidetect
# 6. If BIN high-risk → use different

7.3. Mistake: Access to System Denied​

Causes:

1. Bad business front
2. Suspicious activity
3. Wrong documents
4. Bad domain reputation

Fix:

1. Improve business front:
- Professional website
- Corporate email
- LinkedIn profile

2. Buy logs instead of registering:
- Verified sellers
- Reviews

3. Use different provider:
- SEON → easier
- Signifyd → medium

7.4. Mistake: Card Still Declined​

Causes:

1. Card already burned in network
2. Strict merchant
3. Other factors
4. Velocity exceeded

Fix:

1. Check card via API
2. Analyze applied rules
3. If card burned → use another
4. If strict merchant → use another
5. If velocity → wait

7.5. Mistake: Misinterpreting Response​

Causes:

1. Not understanding applied rules
2. Ignoring device details
3. Ignoring IP details

Fix:

1. Study SEON documentation
2. Create rule table:
- P106: Datacenter → resident proxy
- P110: Spam → change proxy
- P112: Public proxy → private proxy
- E123: Email mismatch → new email

3. Analyze all details:
- Device
- IP
- Email
- BIN

PART 8: COMPLETE CHECKLIST​

Before Starting:​

• □ Proxy configured (residential, IPQS > 80)
• □ Antidetect ready
• □ API access obtained
• □ VPS configured
• □ Business front created (if needed)
• □ API keys secure

For Each Transaction:​

• □ Check card via API
• □ Analyze fraud score
• □ Read applied rules
• □ Fix issues
• □ Repeat check

After Check:​

• □ If score < 50 → can use
• □ If score 51-80 → fix issues
• □ If score > 80 → don't use card
• □ Log result

Daily:​

• □ Check proxy
• □ Clean logs
• □ Update records
• □ Check API limits

Weekly:​

• □ Rotate proxy
• □ Check relevance
• □ Update BINs
• □ Analyze results

PART 9: COMPARISON WITH OTHER METHODS​

Method	Complexity	Effectiveness	Cost	Risk	Time
Blind carding	Low	Low	Low	High	Instant
API check	Medium	High	Medium	Low	5-10 min
Data poisoning	High	Very high	High	Medium	Weeks

PART 10: KEY TAKEAWAYS​

Bro, access to anti-fraud systems is a game-changer.

10.1. Main Conclusions​

1. AI anti-fraud is a black box — they don't tell you why they declined
2. Access to systems — key to understanding
3. SEON is the entry point — easy to register
4. API requests — check cards before using
5. Applied rules — show what triggered the flag
6. Data sharing — declined transaction burns card across network
7. Business front — needed for Signifyd/Riskified access
8. Logs — alternative to registration

10.2. Strategy​

Step-by-step plan:

1. Start with SEON for practice
2. Study API requests
3. Check cards before use
4. Analyze applied rules
5. Fix issues
6. Scale with other providers

10.3. What's Next​

In Part 2, we'll cover how to poison their training data, create robust profiles, and make their AI work for you, not against you.

With these guides, these systems are no longer black boxes — you've seen how they work from the inside. It's time to make them dance to your tune.

Good luck, bro. If anything — ask.