Highlight

• Enhanced User Experience and Operational Efficiency
• Ensure the Security of Sensitive Company Data
• Scraper Bots Detected and Blocked

Company

As a leading force in global fashion e-commerce, this company has rapidly scaled its international footprint, now reaching customers in over 150 countries and engaging more than 150 million active users. Leveraging a hyper-responsive, data-powered supply chain, it introduces thousands of new styles daily, which are tailored to evolving trends and priced for accessibility. With a seamless digital experience and a cutting-edge approach to social media marketing, including collaborations with tens of thousands of influencers, the brand continues to redefine speed, scale, and style in online retail.

Challenge

• Data Breaches & Customer Privacy Risks
• Marketing Abuse by Scalpers & Bots
• DDoS Attacks & Platform Downtime

As a top 3 global online fashion retailer, this brand faces multiple cybersecurity challenges that threaten its operations and customer trust. With millions of users worldwide, it is a prime target for data breaches, where hackers seek to exploit vast stores of personal and financial information. The company previously faced a severe cyberattack that compromised millions of user accounts, including encrypted passwords and payment details, with stolen data later circulating on dark web platforms. This breach not only triggered significant financial penalties and customer compensation demands but also dealt a lasting blow to consumer trust. The incident highlighted critical weaknesses in the company’s security infrastructure, emphasizing the urgent need for advanced safeguards.

Additionally, Payment fraud and phishing attacks further threaten customer security, as cybercriminals attempt to steal credit card details and manipulate transactions. Beyond traditional cyber risks, the brand also struggles with marketing abuse by scalpers and fraudsters, particularly during major shopping events like Black Friday, where scalpers and fraudsters use bots and automated scripts to exploit discount coupons, hijack flash sales, and hoard limited-time offers for resale. Additionally, DDoS attacks pose a growing threat, especially during peak sales periods, where attackers flood the platform with fake traffic, disrupting transactions, slowing down the website, and preventing genuine shoppers from making purchases. As these cybersecurity threats continue to evolve, the company must prioritize AI-driven fraud detection, real-time bot mitigation, enhanced authentication measures, and infrastructure security upgrades to protect its platform and ensure fair access for legitimate customers.

Solution

To combat these critical cybersecurity threats, the global online fashion company needed a solution that could accurately detect and block malicious activities without disrupting the user experience worldwide. Chosen for its superior accuracy, adaptive risk control, and seamless user experience, GeeTest was integrated into the platform’s add-to-cart process.

Multi-Layered Dynamic Security to Block Automated Scripts

GeeTest CAPTCHA supports multiple verification methods, including sliding puzzles and icon clicking verification. This fast fashion company can choose the appropriate verification method based on specific scenarios (such as registration, login, and payment), combined with behavioral biometrics (e.g., mouse movements, touch pressure, swipe speed), effectively distinguishing between human users and bots. To counter AI-driven CAPTCHA solvers, GeeTest updates 300,000 verification images per hour and applies visual distortion techniques, making it nearly impossible for attackers to create stable cracking models.

AI-Driven Risk Engine & Real-Time Threat Mitigation

GeeTest’s AI-powered risk scoring system analyzes 200+ risk dimensions (e.g., IP reputation, device fingerprints, request frequency) in real time, triggering CAPTCHA for suspicious activities like rapid login attempts and achieving a 99.5% interception rate against credential-stuffing attacks. Its proprietary Captcha Token (CT) mechanism flags high-risk IPs, devices, and behavioral patterns, integrating with this fashion retailer's business rules to restrict malicious accounts from high-value activities (e.g., flash sales), directly undermining attackers’ ROI and deterring further exploits.

Adaptive Security Strategies with Optimized User Experience

GeeTest intelligently adapts verification intensity to balance security and usability. Legitimate users enjoy effortless “one-click” validation, while high-risk traffic encounters multi-step challenges like icon clicks or slide puzzles. By leveraging WebAssembly technology, verification delays are minimized to under 300 milliseconds. With seven global service sites, GeeTest dynamically routes users to the nearest server or cluster, ensuring seamless experiences during flash sales and maintaining platform stability even during peak traffic surges. To support this company's global operations, GeeTest offers 78 language options and localized UI customization, allowing the company to adjust the CAPTCHA interface according to its brand's visual style, such as modifying colors, fonts, and icons. This customization enhances brand consistency, enabling users to experience its uniqueness during the verification process.

Continuous Security Evolution & Proactive Threat Intelligence

GeeTest CAPTCHA employs a self-learning AI framework fueled by global threat data from 10,000+ daily attacks. Its system autonomously analyzes emerging tactics (e.g., Puppeteer-extra bot tools), simulates attack chains, and deploys countermeasures within hours, staying 3+ months ahead of threats. Automated adversarial testing continuously refines verification logic, while real-time dashboards alert the company to risks. This ensures threats like AI scalpers are neutralized preemptively, with defenses evolving faster than attackers can adapt.

Result

• Reducing scalper success rates by 92%
• Operational Efficiency Leap
• 99.5% Interception Rate Against Credential Stuffing

After deploying GeeTest CAPTCHA, the global online fashion retailer experienced a significant improvement in its traffic situation and a notable reduction in the time its technical staff spent on managing traffic-related issues. The solution effectively reduced malicious traffic, achieving a 99.5% interception rate against credential-stuffing attacks, which lowered the risk of data breaches and unauthorized access to customer accounts. This enhanced security stabilized the platform, particularly during high-traffic events like Black Friday, by minimizing disruptions from DDoS attacks and marketing abuse by scalpers and bots. As a result, genuine customers enjoyed uninterrupted access to the platform and promotions.

Additionally, the technical staff saw a 40% decrease in time spent detecting and responding to traffic anomalies, thanks to GeeTest’s AI-driven risk engine autonomously identifying and mitigating threats in real-time. These improvements not only bolstered the company’s cybersecurity but also optimized operational efficiency, allowing the retailer to maintain a reliable and secure shopping environment for its over 150 million active users worldwide.