Revolutionizing E-commerce Fraud Defense: From Reactive to Proactive Fraud Intelligence

01 Summary

Company：

A Global Leading E-commerce Platform

Industry：

E-commerce

Use Case：

Business fraud prevention

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Key Results

Monthly Risk Alerts	100+ alerts per month
Annual Cost Savings	$200,000+ saved annually
Risk Response Speed	Real-time (minute-level response)
Risk Detection Coverage	From internal defense → real-time visibility into the global fraud ecosystem
Detection Accuracy	70%+ improvement in detection accuracy
Business Impact	Effectively mitigated store fraud, account trading, and data leaks, significantly reducing fraud-related losses and brand risk.

02 Background & Challenges

Operating at a global scale, this e-commerce giant has become a prime target for cross-border fraud syndicates—not just during major events like Black Friday, but throughout daily operations. Fraudsters have built a sophisticated industrial chain involving account trading, fake storefronts, refund fraud, and promo abuse. These operations thrive on platforms like Telegram, the dark web, and Facebook, complete with detailed "fraud playbooks" and "risk-avoidance guides."

The client initially believed that risks were limited to their own platform—until one day, an operations manager stumbled upon a Telegram group openly selling hundreds of their store accounts. This was a wake-up call: the real threat came from beyond the platform, and their traditional risk management framework was powerless against it.

03 Threat Hunter's Solution

Beyond risk monitoring, Threat Hunter focuses on the fraud toolchain itself—analyzing abuse tools, tracing data leaks, and providing tactical intelligence. We also offer on-site support during critical operations or peak periods, ensuring instant response to emerging threats.

3.1 Highlighted Cases

• Crawler Attack Neutralized: We discovered a tool named “XX Scraper” actively harvesting user posts and comments via exposed APIs. We traced attack IPs and mapped the entire toolchain. The client shut down vulnerable APIs immediately, preventing a large-scale data breach.

• Phone Number Leak Investigation: We identified a Telegram group selling databases that linked user UIDs to phone numbers. Working with the client, we traced the issue to a third-party API permissions misconfiguration. The vulnerability was fully patched within 48 hours, cutting off the black-market supply chain.

3.2 Key Outcomes

• 100+ risk alerts per month, covering store fraud, account trading, promo abuse, and more.

• Saved over $200,000 annually in operational costs by replacing the need for an in-house intelligence team.

• Evolved from reactive internal defense → proactive, global fraud detection.

  • Real-time monitoring of fraud activity across social media, dark web, and underground marketplaces.

  • Risk detection speed reduced from days/weeks → real-time (minutes).

  • 70%+ improvement in detection accuracy, dramatically reducing manual workload.

  • Built a dynamic external threat intelligence database to support long-term fraud prevention and security operations.