IP fraud score is a quantitative metric ranging from 0 to 100. It shows the overall trustworthiness of an IP address based on its recorded history and serves as the primary reputation flag for IPv4 addresses. Each of the ~4.3 billion IPv4 addresses has a fraud score stored in specialized databases, and platforms regularly consult these databases to assess connection quality and filter out untrustworthy IPs. Tools like CyberYozh’s IP Checker can be used to check the IP fraud score before deployment, so only trustworthy addresses are used.
Key definitions: IPv4 reputation and fraud/trust scores
Let’s start with key topics related to the IP’s fraud score.
IPv4 protocol
The fourth version of the Internet Protocol that assigns a unique 32-bit numeric address (e.g., 192.168.1.1) to each web-connected device. Unlike IPv6, every IPv4 address has an established reputation in anti-fraud databases, making fraud score checks feasible only for IPv4. Basically, that’s why IPv4 addresses are still used much more actively than IPv6.
IP geolocation
The mapping of an IP address to a physical location (country, region, city, ISP). Mismatches between an account's registered region and its connecting IP are a common fraud signal.
Read more about the geotargeting proxy in a blog
IP header
Metadata transmitted with every network packet, including source/destination IP, protocol type, and TTL. Anti-fraud systems inspect headers to validate connection authenticity and detect anomalies.
Hidden IP address
An IP that is known to belong to a VPN, proxy, or Tor exit node. This typically increases the fraud score, as platforms flag anonymized connections by default. Tor nodes usually have quite a high fraud score.
IP flags
Annotations attached to an IP in reputation databases, such as "VPN," "datacenter," "Tor exit node," "spam source," or "botnet member," and each active flag raises the overall fraud score.
Proxy server
An intermediary server that relays requests on behalf of a client, substituting the client's IP. Datacenter proxies carry higher fraud scores than residential proxies because their non-ISP origin is easily identified.
Read more about what is a proxy server in the blog.
VPN (Virtual Private Network)
A service that tunnels traffic through an encrypted server, masking the user's real IP. Public VPN IPs are frequently flagged in fraud databases due to shared abuse histories.
Explore the difference between proxy and VPN in the blog article.
Tor network
A privacy network routes traffic through multiple volunteer-operated nodes. Tor exit node IPs are almost universally flagged and carry high fraud scores on most platforms due to their connection with darknet activities.
IP abuse
A recorded history of malicious activity originating from an IP, including spam campaigns, DDoS participation, credential stuffing, or scam traffic. Abuse history is the primary driver of elevated fraud scores.
IP fraud score
A 0–100 risk rating assigned to an IP address: scores below 25 are considered clean, 25–50 borderline, and 50+ are treated as high-risk by most platforms.
IP trust score
An inverse metric to the fraud score: the higher the trust score, the more reputable the IP. Some services report it as a percentage of trustworthiness instead of a fraud score.
IP database
Aggregated repositories (e.g., IPQualityScore, AbuseIPDB) that store IPs alongside their fraud scores, flags, blacklist status, and abuse velocity. Anti-fraud systems query multiple databases simultaneously for a composite score.
Learn more about how websites derive your trust profile before you even log in, and be prepared.
How to check IP fraud score: IP Checker
CyberYozh's IP Checker cross-references an IP address against multiple leading anti-fraud databases, such as IPQualityScore, and returns a composite fraud score along with key flags: VPN/proxy/Tor status, blacklist presence, abuse velocity, ASN type, and geolocation data. It provides a full reputation profile of any IP address in seconds.
How to use the IP fraud score
The IP fraud score is a crucial metric that can determine whether the IP is safe to use. The lower the fraud score, the lower the probability that platforms will block or restrict connections or sessions.
It’s always better to reject IPs with a fraud score of 50 or more.
Check the IP before deployment
Before connecting through any proxy or assigning an IP to an automation task, verify it with CyberYozh's IP Checker:
Open the IP Checker and enter the target IP address
Review the fraud score: reject any result of 50 or higher
Confirm that VPN, proxy, and Tor flags are not set (unless required by the use case)
Check blacklist status: ensure no active listings in spam or abuse databases
Verify geolocation and ASN: confirm they match the intended region and type (residential vs. datacenter)
Proceed with deployment only if all checks pass
Understand what causes an IP ban and how to prevent it in CyberYozh’s specialized article.
Automate the IP fraud score check with the API
CyberYozh API is an automation tool that enables the use of CyberYozh proxies and other tools in scraping and automation scripts, whether using custom JavaScript or Python code or a framework like Scrapy or Playwright.
Access CyberYozh support and get your API key
Read the API documentation to explore the possible commands
Call the API command for the IP check in your code
The result will determine whether you may proceed with the IP or not
Read more about the proxy management cycle to understand how the IP reputation works.
Conclusion: Importance of the IP fraud score
The IP fraud score is a foundational metric for any web operation relying on proxies, automation, or multi-account management. CyberYozh addresses this directly by running professional-grade fraud-score verification on its entire IP pool, filtering out compromised addresses before they reach users, and ensuring a consistently high-quality, low-risk proxy infrastructure.