Ecommerce has transformed the retail landscape, with platforms like Shopify empowering entrepreneurs worldwide. However, with this growth comes the threat of fraud, which can severely impact both finances and reputation. Recently, a significant data leak involving popular Shopify plugins was uncovered, exposing sensitive information of nearly 3,000 Shopify stores . This incident underscores the importance of robust fraud prevention measures to safeguard your online store.

As ecommerce continues to evolve, so do the tactics employed by fraudsters. Relying solely on Shopify’s built-in fraud detection may not be sufficient to protect your business from sophisticated threats. This article explores why you need additional protection from fraud prevention tools like Skyflare, how fraud analysis works on Shopify, and the emerging types of fraud that online businesses face today.

Shopify offers built-in fraud detection features designed to help merchants identify potentially fraudulent orders. This system primarily functions by ranking orders using various indicators, which are key in assessing the risk level of transactions.

Shopify Fraud Prevention: How It Works

Shopify offers built-in fraud detection features designed to help merchants identify potentially fraudulent orders. This system primarily functions by ranking orders using various indicators, which are key in assessing the risk level of transactions.

Fraud Analysis on Shopify

When an order is placed, Shopify analyzes it using multiple data points. These include the customer’s IP address, shipping and billing addresses, payment method, and historical behavior. Based on this analysis, Shopify provides a risk score that categorizes the order as low, medium, or high risk.

Indicators Used in Shopify Fraud Prevention

  1. Billing and Shipping Address Mismatch: Orders where the billing and shipping addresses don’t match are flagged as higher risk.
  2. High-Value Orders: Large orders are scrutinized more closely due to the potential for significant financial loss.
  3. Geolocation: Orders placed from IP addresses in high-risk countries or locations far from the billing address can trigger alerts.
  4. Email Domain: Orders using free email domains (e.g., Gmail, Yahoo) might be considered riskier than those using corporate email addresses.
  5. Order Velocity: Multiple orders placed in a short period from the same IP address can indicate fraudulent activity.
  6. IP Address: An order placed from an IP address far from the shipping address or an IP address that has previously been associated with fraudulent orders.
  7. Proxy Detection: Orders placed using a proxy or VPN to mask the real IP address.
  8. Card Verification: Mismatch between the payment card and the billing information provided

These indicators provide a helpful baseline for Shopify fraud prevention. However, merchants often find that Shopify’s built-in tools require substantial manual intervention to manage high-risk orders effectively

Ref. Shopify help center: Fraud analysis

The Need for Additional Shopify Fraud Prevention Tools

Despite the utility of Shopify’s fraud detection, the system’s limitations mean that manual review is often necessary. This can be time-consuming and still might not catch all fraudulent activities, prompting the need for supplementary tools like Skyflare.

Why Shopify’s Built-in Tools Are Not Enough

Shopify itself recommends the use of additional fraud prevention apps for a more comprehensive approach. The built-in system helps identify potential risks but lacks advanced features like automated chargeback management, real-time machine learning updates, and customizable fraud rules that more sophisticated tools offer.

Emerging Types of Sophisticated Fraud in Ecommerce

The landscape of ecommerce fraud is evolving. Traditional order fraud is just one aspect; modern fraudsters employ more complex methods that require advanced detection and prevention strategies.

Click Fraud

Click fraud is an insidious practice in digital advertising where the number of clicks on an ad has an artificially boost. This malicious activity is carried out by competitors aiming to deplete your ad budget, or by fraudsters seeking to earn money from pay-per-click schemes. Identifying click fraud involves monitoring for unusual spikes in traffic, inexplicably high costs, or a sudden drop in conversion rates.

Learn more: Ultimate Guide to Click Fraud Prevention: Safeguard Your Digital Ad Spend

Malicious Bots

Bots can be used for various malicious activities, such as scraping pricing information, creating fake accounts, and executing DDoS attacks that disrupt your website’s operations.

Learn more: Why Online Shop Owners Previously Overlooked the Importance of Bot Protection Service

Ad Injection

Ad injection involves inserting unauthorized ads into your website, which can redirect traffic, steal revenue, and damage your brand’s reputation. These ads often lead to malicious sites that can harm customers.

Learn more: What is Ad-injection?

Financial and Reputational Impact of Sophisticated Fraud

All these fraudulent activities lead to financial losses, increased operational costs, and potential damage to your business’s reputation. Customers who experience fraud on your platform may lose trust and choose competitors instead.

Why Skyflare Is a Good Plugin for Shopify Fraud Prevention

Skyflare offers a robust solution to the limitations of Shopify’s built-in fraud detection, making it an ideal choice for small to medium-sized online businesses.

Key Features of Skyflare for Shopify Fraud Prevention

  1. Real-Time Fraud Detection: Skyflare uses machine learning algorithms to analyze transactions in real-time, providing instant alerts on suspicious activities.
  2. Automated Chargeback Prevention: The tool helps prevent chargebacks by identifying high-risk transactions before they are processed.
  3. Customizable Fraud Rules: Merchants can set custom rules based on their specific needs, ensuring more precise fraud detection.
  4. Detailed Fraud Analysis: Skyflare offers in-depth reports and insights, helping businesses understand fraud patterns and take proactive measures.

Comparison with Other Shopify Fraud Prevention Tools

While several fraud prevention tools are available, Skyflare stands out for its ease of use, comprehensive features, and scalability. Other tools may offer similar capabilities, but they often come with higher costs and complexity, making Skyflare particularly suitable for small to medium-sized businesses.

Pros of Skyflare

  • User-Friendly Interface: Easy integration with Shopify and intuitive dashboards.
  • Scalability: Suitable for businesses of all sizes, with flexible pricing plans.
  • Comprehensive Protection: Covers a wide range of fraud types, from payment fraud to account hijacking.

Cons of Skyflare

  • Initial Setup: Requires some initial configuration to tailor the rules to your business needs.

Comparison Summary of Shopify Fraud Prevention Tools

Other fraud prevention tools on the market offer strong capabilities, but Skyflare’s balance of ease-of-use, affordability, and robust protection makes it a standout choice for many Shopify merchants. While some tools might offer more extensive enterprise features, Skyflare provides a solid foundation for effective fraud prevention without overwhelming smaller teams.


Ecommerce fraud is a pervasive threat that requires vigilant protection measures. Shopify’s built-in fraud detection offers a good starting point, but the complexity and sophistication of modern fraud necessitate additional tools like Skyflare. By leveraging advanced fraud prevention solutions, merchants can better protect their finances, customer data, and brand reputation, ensuring a safer and more trustworthy shopping experience for all.


Why should I use an additional fraud prevention tool with Shopify?

  • Shopify’s built-in fraud detection is useful but requires manual intervention and lacks advanced features like real-time machine learning updates and automated chargeback management. Additional tools provide comprehensive protection.

How does Skyflare improve fraud detection?

  • Skyflare uses real-time machine learning algorithms to detect suspicious activities and offers customizable fraud rules, detailed fraud analysis, and automated chargeback prevention.

What are the main types of ecommerce fraud?

  • Beyond order fraud, modern ecommerce fraud includes click fraud, malicious bots, customer hijacking, and ad injection, all of which can cause significant financial and reputational damage.

Can Skyflare handle all types of ecommerce fraud?

  • Yes, Skyflare is designed to detect and prevent a wide range of fraudulent activities, including payment fraud, account takeovers, and malicious bot attacks.

Is Skyflare suitable for small businesses?

  • Yes, Skyflare offers flexible pricing plans and an easy-to-use interface, making it suitable for small to medium-sized businesses looking for robust fraud protection without the complexity of larger enterprise solutions.