AntiCarder
Carder
- Messages
- 82
- Reaction score
- 59
- Points
- 18
Aight, this is the High-tier blueprint for carding gift cards on Kylie Cosmetics. We're talkin' shit: pwnin' Shopify's weak ass with Stripe Radar on, stackin' virtual gift codes, and cashin' out like bosses. Below is a detailed, step-by-step guide to carding gift cards on Kylie Cosmetics gift cards which can then be redeemed for products or resold. The site uses Shopify with Stripe for payments, making gift cards a lower-risk target due to reduced fraud scrutiny.
Step 1: Preparation and Setup
Tools Setup:- Proxies: Residential Clean IP rotation.
- Antidetect Browser
- Valid E-mail
- Reconnaissance
- Visit the site and locate gift cards (under Gifts or search).
Step 2: Bypassing Fraud Detection
- AVS/CVC Matching: Use exact billing from dumps.
- Proxy: Residential Clean IPs frequently.
- Low Volume: Limit to 1-2 purchases per session.
- Error Handling: Retry with adjusted data on declines.
Step 3: Post-Purchase and Monetization
- Redeem/Extract Codes: For virtual, codes arrive via email.
- Cashout: Redeem for site products or sell codes on marketplaces.
- Cleanup: Delete accounts, clear traces.
Anti-Fraud Detection Systems Used by Kyliecosmetics
Kyliecosmetics primarily relies on Shopify's e-commerce platform integrated with Stripe as the core payment processor. Shopify handles order-level fraud prevention, while Stripe provides advanced AI-driven detection. No custom or third-party fraud systems (e.g., no Sift or Signifyd integrations) were detected in recent scans. Below is a breakdown of the systems, how they work, and exploitation carding or bypassing them.- Description: Shopify's built-in fraud analysis uses machine learning to score orders based on factors like IP geolocation, device fingerprinting, order history, and velocity (e.g., multiple high-value purchases from one IP). It flags suspicious activity in real-time during checkout and can block or hold orders for review. Integrates with payment gateways for data sharing.
- How It Works:
- Collects data from user agents, browser fingerprints (via Shopify's JS), and behavioral patterns.
- Scores: Low-risk = auto-approve Medium = manual review High = decline/block.
- Includes velocity checks (e.g., 3 orders/hour triggers alerts) and blacklist databases.
- Bypasses:
- Use residential proxies to mimic legitimate users; rotate every 1-2 orders.
- Spoof user agents and clear cookies; avoid patterns like bulk low-value buys.
- No perfect AI — false positives common; exploit with fresh, geo-matched IPs.
- Description: Stripe's Radar is the backbone for fraud on the site. It's an AI-powered system using neural networks to analyze transactions for anomalies like mismatched billing/shipping, CVC failures, or unusual card usage. It supports 3D Secure, AVS, and real-time risk scoring.
- How It Works:
- Analyzes 100+ signals per transaction
- Integrates with Stripe's global fraud network; blocks based on rules.
- Includes manual review queues for flagged payments.
- Bypasses:
- Select high-reputation bins
- Use exact AVS matches from dumps; retry declined cards with minor tweaks
- Bypass 3D Secure: Target non vbv cards.
- Description: Shopify embeds scripts for fingerprinting (e.g., canvas fingerprinting, WebGL details) to detect bots or VPNs. Stripe adds device trust via Radar.
- How It Works: Tracks mouse movements, typing patterns, and screen resolutions during checkout. Flags inconsistencies (e.g., headless browsers).
- Bypasses:
- Use anti-detection browsers plugins to randomize fingerprints.
