Elevating Fast-Fashion E-commerce Defense: Proactive Intelligence Against Organized Fraud

01 Summary

Company：

A Global Fast Fashion E-commerce Platform

Industry：

E-commerce

Use Case：

Business fraud prevention

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Key Results

Monthly Risk Alerts	300+ alerts per month
Fraud Blocked During Sales Events	Over $1 million directly prevented during peak campaigns
Risk Response Speed	Real-time, as fast as 5 minutes
Risk Detection Coverage	From internal monitoring → real-time global fraud ecosystem monitoring
Malicious Complaint Interruption	100% success in stopping fraud-driven complaint extortion (Black Friday)
Business Impact	Protected millions in revenue, ensured brand safety, and enhanced global risk management efficiency

02 Background & Challenges

In fast fashion e-commerce, fraudsters are often more aggressive than legitimate customers—especially during major sales events. Fraud rings organize virtual credit card attacks, refund abuse schemes, and even hire fake reviewers to launch malicious complaint campaigns, forcing the platform to issue compensations. This creates massive financial and brand risks during peak campaigns.

03 Threat Hunter's Solution

3.1 Highlighted Cases

• Malicious Complaint Extortion Detected: During Black Friday, we intercepted a fraud ring mobilizing dozens of participants to flood the client’s social media with fake product quality complaints, aiming to force mass compensations. We delivered the intelligence in real time, enabling the client to launch immediate PR and risk mitigation actions, neutralizing the threat before escalation.

  
  

3.2 Key Outcomes

• 300+ high-risk fraud alerts per month, including payment fraud, refund scams, coupon scalping, and fake complaint rings.

• During Black Friday: disrupted 2 organized malicious complaint campaigns and multiple payment fraud cases.

• Evolved from reactive post-incident response to proactive real-time threat prevention. Through Threat Hunter’s fraud intelligence services, the platform has successfully transformed its fraud prevention capabilities:

  • 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.