Account and Store Bans: What Is IP Fraud Score and How to Detect It?

From social media accounts to e-commerce platform stores, whether for daily use or work needs, network issues are common reasons for account and store bans, and they often point to IP-related problems. The IP fraud score is an important metric for measuring these risks.

Ⅰ. What is IP fraud score?

The IP fraud score is an indicator that assesses the risk of an IP address being associated with fraudulent activities. Based on information such as the source of the IP address, historical behavior, traffic patterns, device characteristics, and change frequency, it can be assessed whether the IP address has potential fraud risk and whether the fraud risk is high or low.

Obviously, the higher the fraud score, the higher the risk of the IP, the less safe it is to use this IP for network access and other activities, and the higher the possibility of account suspension and store closure. A high fraud score usually indicates that the IP address is associated with suspicious or malicious activities (such as false payments, identity theft, etc.), while a low fraud score indicates that the activity risk of the IP address is low.

The IP fraud score can help identify potential fraudulent behavior and take corresponding preventive measures, such as blocking suspicious transactions, verifying user identities, etc. Of course, if the fraud score of an IP is detected to be very high, it can be replaced with a safer IP at the beginning to prevent subsequent troubles.

Ⅱ. How to detect IP fraud score?

First, check your own IP address by visiting WhatIsMyIp, which will automatically display your IP address. Generally, you can just look at the My Public IPv4 column.

Generally, the reliability of IP can be analyzed through the following dimensions:

IP geolocation: Check whether the IP is from a high-risk country or region.

Proxy detection: Check if the IP belongs to the data center or comes from the ISP.

Abuse Log: Check if your IP has been flagged as a source of spam, DDoS attacks, or other malicious behavior.

Historical behavior: Check whether the IP changes frequently, whether it is robot traffic, etc.

Then you can use the following two common tools for auxiliary detection:

1. Scamalytics

Scamalytics can detect various indicators of IP, including geographic location, whether it is blacklisted in reliable open source data sets, etc., to help users detect and prevent fraud. The detection result will give a score of 0-100. The lower the score, the lower the fraud score and the lower the risk. For example, I used IPFoxy's dedicated static residential proxy IP to test it and the score was 0, indicating that the fraud score was very low.

2. AbuseIPDB

AbuseIPDB can help check and report IP addresses involved in malicious activities (such as spam, hacker attacks, DDoS attacks, etc.), and check whether there is reported malicious activity in the IP address. Here I chose an IP test from another region of IPFoxy, which showed that it was not reported, proving that the IP fraud score is low.

3.ping0

Ping0 itself does not directly detect IP fraud scores, but it can still be used as an auxiliary tool. Ping0 uses big data to monitor whether the IP has external attacks, sends spam, and other behaviors, as well as the number and frequency of dangerous behaviors to score risk control. For example, an IP with a score of less than 15 is extremely pure and is displayed in dark green. In addition, the source of the IP is determined by querying the ASN to which the IP belongs. If it is a residential ISP, the risk of fraud is low; if it is a data center or cloud server, the risk of fraud may be high.

Ⅲ. Final Thoughts

Understanding IP fraud scores and related knowledge and testing methods can effectively enhance the security of network activities, assist in selecting more reliable network tools, and reduce the risk of account and store closures.