Ecommerce Scams in 2024: 7 Types of Fraud & How to Detect Them
Online shopping is booming and fraud on the rise. Protect your business & customers from scammers. Learn how to detect & stop it before it happens.
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July 25, 2024
7min
Tanya
Online shopping is booming and fraud on the rise. Protect your business & customers from scammers. Learn how to detect & stop it before it happens.
July 25, 2024
7min
Tanya
Transaction fraud involves unauthorized transactions made using stolen credit card information. This type of fraud is one of the most common and can have significant financial repercussions for both consumers and businesses. For instance, a customer might notice several high-value purchases on their credit card statement that they did not make. These transactions could have been made using their stolen card details on various ecommerce sites. The impact of transaction fraud extends beyond financial loss; it can also damage a business’s reputation and erode customer trust.
Friendly fraud occurs when legitimate customers dispute charges to get refunds for items they actually received. This type of fraud is particularly challenging because it involves genuine customers who exploit the chargeback process. For example, a customer might order a high-end electronic gadget, receive it, and then claim they never got it. By initiating a chargeback, they can get a refund while keeping the item. This not only results in financial losses for the business but also complicates the relationship with the customer, as it can be difficult to prove the fraud without extensive documentation and evidence.
Account Takeover (ATO) fraud occurs when fraudsters gain access to a customer’s account and make unauthorized purchases. This type of fraud can be particularly damaging as it often goes unnoticed until significant harm has been done. For example, a hacker might gain access to an online shopping account by guessing the password or using phishing techniques. Once inside, they can order expensive items and have them shipped to a different address. The legitimate account holder may only realize something is wrong when they receive notifications of purchases they did not make or when they check their account balance. ATO fraud not only results in financial losses but also undermines customer confidence in the security of the ecommerce platform.
Triangulation fraud involves fraudsters setting up fake online stores to collect payment information, which they then use to make purchases on legitimate sites. This type of scam can be particularly deceptive because the fake stores often appear highly professional and trustworthy. For example, a customer might buy a product from a seemingly legitimate online store, only to later discover that the store is fake. The fraudster then uses the customer’s payment information to make purchases elsewhere. This not only results in financial loss for the customer but also complicates the process of tracking and recovering the stolen funds. Triangulation fraud can damage the reputation of legitimate businesses if customers mistakenly associate them with the fraudulent activity.
Card testing fraud involves fraudsters testing stolen credit card numbers to see which ones are still active. This type of fraud is often a precursor to larger fraudulent transactions. For example, a fraudster might make multiple small purchases on different websites using stolen card details to check which cards are still valid. These small transactions often go unnoticed by the cardholder, allowing the fraudster to identify which cards can be used for larger purchases. Card testing not only results in financial losses for the cardholder but also increases the risk of chargebacks for merchants, who may be unaware that the transactions are fraudulent until it’s too late.
Shipping/interception fraud occurs when fraudsters intercept packages by changing the shipping address after the order is placed. This type of fraud exploits the shipping process to divert goods to an unauthorized location. For example, after placing an order, a fraudster might contact the retailer pretending to be the customer and request a change in the shipping address. By doing so, they can intercept the package and receive the goods instead of the legitimate customer. This not only results in financial losses for the retailer but also leads to customer dissatisfaction and potential disputes. Shipping/interception fraud can be particularly challenging to detect and prevent, as it often involves sophisticated social engineering tactics.
Refund fraud involves fraudsters exploiting return policies to get refunds for items they never purchased or received. This type of fraud can be particularly damaging for businesses with generous return policies. For example, a fraudster might buy an item, claim it was defective or never arrived, and request a refund. Often, they use fake documentation to support their claim, making it difficult for the retailer to verify the legitimacy of the request. This not only results in financial losses but also increases operational costs as businesses have to manage and investigate fraudulent claims. Refund fraud can erode trust between retailers and customers, making it essential for businesses to implement stringent return policies and verification processes.
Detection methods are essential for identifying and preventing ecommerce fraud, and implementing a combination of strategies and tools can significantly reduce the risk of fraudulent activities. One effective approach is monitoring for unusual transaction patterns. Regularly analyzing transaction data to identify anomalies, such as sudden spikes in purchase amounts or frequency, can help detect potential fraud early. This proactive measure allows businesses to flag suspicious activities before they escalate into significant issues.
Another critical strategy is implementing multi-factor authentication (MFA). By requiring users to provide two or more verification factors, such as a password and a one-time code sent to their phone, businesses can add an extra layer of security. This method is particularly effective in preventing unauthorized access to accounts, thereby safeguarding sensitive customer information.
Using fraud detection software and analytics is also a powerful tool in the fight against ecommerce fraud. Advanced software and analytics tools can identify suspicious activities in real-time, often leveraging machine learning algorithms to detect patterns indicative of fraud. These tools provide businesses with the capability to respond swiftly to potential threats, minimizing the impact of fraudulent activities.
Verifying the legitimacy of new sellers and customers is another crucial step. Conducting thorough background checks and verification processes can help ensure that new sellers and customers are legitimate, thereby reducing the risk of fraud. This due diligence is essential for maintaining a secure ecommerce environment.
Additionally, setting velocity limits on transactions can be an effective deterrent against fraud. By implementing limits on the number of transactions or the total amount that can be processed within a specific time frame, businesses can prevent card testing and other types of fraud. This measure helps to control the flow of transactions, making it more difficult for fraudulent activities to go unnoticed.
By combining these methods, businesses can create a robust defense against ecommerce fraud, protecting both their operations and their customers. These integrated strategies not only enhance security but also build trust with customers, fostering a safer and more reliable ecommerce experience.
TrustDecision’s AI-Based Fraud Management Strategy leverages cutting-edge artificial intelligence to provide comprehensive protection against ecommerce fraud. By integrating advanced technologies, TrustDecision offers a proactive approach to identifying and mitigating fraudulent activities, ensuring both businesses and their customers are safeguarded.
TrustDecision utilizes real-time data integration and analysis to swiftly detect unusual patterns. This feature allows businesses to respond to potential threats immediately, minimizing the impact of fraud. The system’s automation capabilities streamline the detection process, reducing the need for manual intervention and enhancing overall efficiency.
The platform’s continuously evolving algorithms learn from historical data to recognize new fraud tactics. This adaptive approach ensures that the system remains effective against emerging threats, providing businesses with a dynamic defense mechanism that evolves alongside the fraud landscape.
TrustDecision offers industry-specific strategies tailored to the unique needs of different businesses. By understanding the specific challenges and requirements of various sectors, TrustDecision can provide targeted solutions that address the most relevant fraud risks, enhancing the overall security posture of each business.
In conclusion, the rise of ecommerce has brought unparalleled convenience and opportunities, but it has also opened the door to various types of fraud. Understanding the different types of ecommerce scams—such as transaction fraud, friendly fraud, account takeover fraud, triangulation fraud, card testing fraud, shipping/interception fraud, and refund fraud—is crucial for both consumers and businesses. Each type of fraud presents unique challenges and requires specific strategies to detect and prevent.
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TrustDecision empowers businesses with AI-driven decision engine designed for fraud prevention, credit risk decisioning and ensure regulatory compliance. It leverages on machine learning models and big data capabilities to deliver real-time risk insights with accuracy and automate decision-making process to deliver maximum operation efficiency.
