{"id":3310,"date":"2024-07-02T09:16:07","date_gmt":"2024-07-02T09:16:07","guid":{"rendered":"https:\/\/www.infobip.com\/developers\/?p=3310"},"modified":"2024-07-02T11:11:11","modified_gmt":"2024-07-02T11:11:11","slug":"how-to-fight-fake-otp-traffic-using-infobip-signals","status":"publish","type":"post","link":"https:\/\/www.infobip.com\/developers\/blog\/how-to-fight-fake-otp-traffic-using-infobip-signals","title":{"rendered":"How to fight fake OTP traffic using Infobip Signals"},"content":{"rendered":"\n

Let us introduce you to Infobip Signals – AI service that prevents fake accounts and SMS fraud.<\/p>\n\n\n\n

In today’s digital landscape, businesses face numerous challenges in ensuring the security<\/strong> and integrity of their communication channels. Fraudulent activities such as SMS pumping fraud pose significant threats, leading to increased costs and compromised user experiences. <\/p>\n\n\n\n

That is where Infobip Signals<\/a> enters the scene as the world’s first AI-based software service that prevents the automatic creation of fake accounts<\/strong> on social media and software platforms.  <\/p>\n\n\n\n

In this tutorial, we will explore how developers can utilize Infobip Signals to improve their projects. <\/p>\n\n\n\n

Step 1: You need to get a handle on how fraudulent schemes operate<\/strong><\/h2>\n\n\n\n

Let\u2019s begin by understanding the various fraudulent activities that developers may encounter. One of them is SMS pumping fraud<\/strong> (a practice where artificial traffic inflates costs and undermines the integrity of mobile networks). Besides that, there is also fake account creation, unauthorized access attempts, etc. <\/p>\n\n\n\n

Recognizing these threats is the first step in implementing effective fraud prevention measures.  <\/p>\n\n\n\n

Step 2: Meet Infobip Signals<\/strong><\/h2>\n\n\n\n

We already said that Infobip Signals is a fraud prevention product designed to combat SMS pumping fraud. <\/p>\n\n\n\n

But how can Signals do that?\u00a0\u00a0<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

To avoid being detected, fraudsters will attack by sending one or two OTP requests from a range of numbers. The following scenario will appear as follows:  <\/p>\n\n\n\n

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  1. Your business receives OTP requests<\/strong>, but not all of them are legitimate traffic.\u00a0\u00a0<\/li>\n<\/ol>\n\n\n\n
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    1. Infobip Signals will check for patterns and flag numbers<\/strong> that are potentially fraudulent.\u00a0\u00a0<\/li>\n<\/ol>\n\n\n\n
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      1. Our CPaaS platform uses data and insights to block numbers<\/strong> if the risk score is above the defined target.\u00a0\u00a0<\/li>\n<\/ol>\n\n\n\n
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        1. If the number is blocked, an error code is sent via a delivery report and logged, the transaction is not charged<\/strong>.\u00a0\u00a0<\/li>\n<\/ol>\n\n\n\n

          Advanced technologies such as machine learning and adaptive algorithms help Signals do so and offer developers comprehensive protection against fraudulent activities across communication channels.  <\/p>\n\n\n\n

          Step 3: Let’s dive deeper into what Signals does<\/strong><\/h2>\n\n\n\n

          Some of the patterns Signal is monitoring:  <\/p>\n\n\n\n

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          • Number of received messages per phone number <\/strong>– if a specific phone number received more traffic than expected,\u00a0\u00a0<\/li>\n<\/ul>\n\n\n\n
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            • Number of received messages per phone number range<\/strong>,\u00a0\u00a0<\/li>\n<\/ul>\n\n\n\n
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              • Several errors per prone number range<\/strong> – like above, ranges with a lot of specific errors are considered suspicious.\u00a0\u00a0<\/li>\n<\/ul>\n\n\n\n

                For each message sent, Signals calculates the risk score. The risk score is a number from 0 to 100 where 0 represents several high trust and no suspicious behavior detected, and 100 is highly suspicious. Signals automatically block certain destinations or ranges detected as substantial risk. <\/p>\n\n\n\n

                This option can be activated at the account level with a set threshold. Blocked traffic won’t incur charges or count towards monthly volumes until the score falls below the defined threshold.\u00a0<\/p>\n\n\n\n

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