An IP fraud score is a risk rating given to an IP address by a checking service. It can help you spot reported abuse, proxy use or other warning signs. A high result does not mean you personally committed fraud, and different checking services can give the same address different ratings.
If you have just bought a proxy or found a high score on your home connection, start with two checks: is this the address your tool actually uses, and what reasons appear beside the number? Scamalytics, IPQualityScore and AbuseIPDB provide different information, so keep the service name with each result.
Next, try the work that matters to you. Can you open the required pages? Does your data-collection tool return useful results? Is the problem a connection failure, a missing field or an account message? Those answers help you decide what needs changing.
I would first check what the result means, then investigate any problem in the task itself before paying for another proxy.
Where Can You Check an IP Fraud Score?
Use a fraud checker for its assessment and reasons
Scamalytics offers an address lookup with a fraud score and supporting network information. IPQualityScore also provides a public risk-checking interface. Either is a place to start when the question is how that service assesses a particular address.
I keep the service name beside any score I compare. "Score 80" leaves too much unanswered; "IPQS returned 80 for this address under these settings" gives support something to investigate. I would keep those details when comparing proxies or asking for a correction.
| Check | What it helps answer | What it does not establish |
|---|---|---|
| Fraud/risk lookup | How this provider assesses the address | The decision of every destination website |
| Proxy or network classification | Whether a provider identifies hosting, VPN or proxy signals | The identity or intentions of the current user |
| Abuse reports | What reported activity is associated with the address | That every user of a shared address caused that activity |
| Actual application result | Whether the task you need worked at that time | Why it worked or failed without further evidence |
I use AbuseIPDB as a reference for reported abuse and its own confidence measure. Read it as another kind of evidence. Its number has a different meaning from a fraud score returned by another company.
Check the connection used by the task
A browser IP check may describe the direct connection while a scraper uses a configured proxy. Check through the relevant client. Otherwise, the number you are discussing may not belong to the address responsible for the application request.
The same issue can arise with IPv4 and IPv6. A computer can use either, and two tools may not choose the same route. Compare the complete address before debating whether one checker is wrong. Sharing a laptop or Wi-Fi network does not make every lookup identical.
I came across a home-network report in which the same person saw 88 for IPv4 and 0 for IPv6. Their connection used CGNAT, where customers can share a public address. My first check in that situation would be the complete address: two lookups from one home can concern different IPs.
I would not predict account access from those two numbers. I would check which address the application used and what happened there; the forum report tells me about that user's lookups.
What Does a High IP Risk Score Actually Mean?
Read IPQS thresholds as IPQS guidance
I read IPQS's published interpretation to check how the company explains its own output. It describes 70–75 as a range that can occur for average-risk proxy/VPN connections, 85 and above as suspicious, and 90 and above as abusive or malicious in its model. I would not apply those thresholds to Scamalytics or AbuseIPDB.
| IPQS result | Interpretation in that provider's guidance | Your next question |
|---|---|---|
| 70–75 | Can occur for average-risk proxy/VPN connections | Is this result actually associated with a problem in the intended application? |
| 85 or higher | Suspicious activity indication | Which supporting signals and lookup settings explain the result? |
| 90 or higher | The provider's strongest listed concern in this guidance | What action does your own defined screening policy require? |
For Scamalytics, retain its returned score, risk label and supporting classifications together. For AbuseIPDB, retain the report/confidence meaning described by that service. There is no sound reason to average those outputs into a universal "IP quality percentage."
Separate the risk label from what happened to the user
A score of 90 is not evidence of a 90% probability that your particular account will be banned. The lookup and an application's decision are different measurements. The most useful result includes both the provider's output and the actual behavior you observed.
Here is how I would read a hypothetical result: the checker says 88, while the application accepts the permitted task normally. The number deserves attention under a defined policy; it does not establish that access failed. Conversely, a low score next to an expired-login message does not make the session current. Fix the observed failure rather than trying to make every diagnostic number look reassuring.
For a company screening users, thresholds also need validation against legitimate customer outcomes. A very strict rule can reject shared networks that the business otherwise wants to serve. That is a reason to evaluate false positives, not to assume the lowest possible score is always the best business result.
Why Can a Home or Residential IP Score Badly?
Residential describes the network, not a clean history
A residential address can have earlier activity attached to it. Addresses may be reassigned, and multiple people can share a public exit. Buying a product labeled residential does not establish that its current reputation is suitable for every application.
Databases can disagree about an IP's country or network type. If a result conflicts with the proxy you bought, save the address, date and full result. Ask whether the supplied proxy is wrong or the checking database has older information.
Consider a home connection that works normally but scores poorly in one checker. Before replacing the router or subscribing to a new proxy plan, identify what the checker actually reports. A classification dispute calls for different evidence from a recent-abuse report. Neither is resolved by deleting browser history.
Shared activity can affect innocent users
On an office, mobile or other shared connection, the public address can represent more than one person. A website sees the public exit, while a household sees one apparently ordinary device. That difference helps explain why "I have never done anything suspicious" does not settle the address-level question.
If you control the network, check for unexpected devices or unusual activity before assuming a checker is simply inaccurate. If the connection is supplied by an ISP or proxy provider, give it the exact address and reported issue. Avoid sending account passwords or session cookies as part of that explanation.
Why Do IP Reputation Checks Give Different Results?
Providers do not observe the same activity
Different datasets, update cycles and models can produce different assessments. That does not mean every disagreement points to a broken checker. I would compare the reasons each provider gives before choosing whichever number looks lower.
Scamalytics states that its assessment reflects its available visibility, which is not the entire internet. Treat a result as evidence from that source. Likewise, a list of abuse reports answers a narrower question than a model combining several network indicators.
For a practical comparison, use one address and look at country, operator, classification and abuse information together. If the two services agree about the network but differ in the final number, the discrepancy may be in the model rather than in the address being tested.
Settings and timing can change the comparison
I also checked IPQS's settings documentation for inputs that can affect a lookup. A stricter check can flag more legitimate connections. If an API result differs from its public web form, compare the settings and supplied information before deciding that one result is wrong.
Check the time too. A dynamic proxy may now use another IP, and a checking service may have updated its information. Compare today's address with the one in the older screenshot before treating the two results as a change in one proxy's reputation.
For an occasional manual check, a short note with the address, service, time and reasons is sufficient. There is no need to build a large reporting system merely to investigate one connection. Preserve the details that could actually change the answer.
Looking for Better Proxies? Consider PuraRoute
If you are looking for higher-quality proxies, PuraRoute is an option to try. It offers dynamic residential proxies, static residential proxies and static native proxies. The choice lets you match the service to your work, whether you need changing IPs for research or one fixed IP for regular use over a longer period.
Choose the type that fits your daily work
Dynamic residential proxies can suit repeated website or data checks where changing IPs is useful. Static residential and static native proxies suit jobs that need an assigned IP for longer. Available location choices also help when your work concerns a particular market. Pick the type around that need rather than buying only because a product is advertised as residential or has an attractive score screenshot.
Check the score, then test your real task
Run a reputation check, then try the same proxy in the browser or tool you actually use. Check whether pages load, the expected information appears and the task works reliably enough for your needs. For a collection job, look at the number of useful results and the cost. A score is one part of the decision; your actual business test should guide a larger purchase.
What Should You Do About a High IP Fraud Score?
Work through the finding in an order that can change the answer
Begin with the client that performs the task. Record its complete public address, including whether it is IPv4 or IPv6. Then retain the named checker's result and reasons. Only after those match should you investigate reputation or ask for a replacement.
| Finding | Most useful next step | Who may be able to act |
|---|---|---|
| The lookup used another address | Repeat it through the tool you use and address family | Your own client/network setup |
| The exit changed between checks | Use an appropriate observation window and confirm the address again | Client configuration or connection provider |
| One checker reports an unexpected classification | Save the exact address, result, time and reasons | That database's correction/support route |
| Proxy authentication fails | Inspect host, port, protocol and credentials | Client configuration or proxy support |
| The destination asks for account verification | Follow the actual account instruction | The destination's account/support process |
| The task works but a checker is high | Compare against an actual job or business requirement | Whoever defines that requirement |
I would follow that order before paying for another connection, because the reported number may not even concern the request that failed. Browser IP checks, another script and a configured research tool can use different routes.
Preserve a short diagnostic record rather than a screenshot of one number
For a support request, include the address, checker, lookup time, relevant settings, returned reasons and the actual failure. I would write the support note along these lines: "The configured client used this IPv4 exit at this time; checker X returned this classification; the destination showed this message." That gives the recipient something specific to investigate.
Do not include account cookies, payment information or proxy passwords. If the dispute concerns location, record the requested and observed locations. If it concerns a named screening standard, identify that standard and method. A general claim that an address is "dirty" does not explain what remedy you need.
Clearing browser settings does not erase an IP's history in another company's database. Reconnecting may give you another IP. Correcting a database entry, replacing a proxy and completing account verification are separate fixes, so choose the one that matches the problem.
How Do You Test Proxies for Your Actual Business?
Use the same checking method for the whole sample
Before buying a larger plan, try a small group of the proxies you would use. Check each address with the same service and settings. Keep the time and any reasons shown beside the score. If you compare Scamalytics on one address with IPQS on another, the different results will be hard to explain.
Then use those proxies in your normal work. For a scraper, use a short list of known pages and check the returned information. For a browser, open familiar websites and try the actions you need. If you are checking a particular country, compare the page's market and language too.
For example, a pricing job may need complete product and seller information from twenty URLs. A proxy that loads a homepage but leaves most of those product fields missing has not passed that business test. Check whether the problem comes from the connection, the collection tool or the data source before deciding what to replace.
Judge quality by useful results and cost
| Your work | What a useful test should show |
|---|---|
| Product-data collection | The correct item and the fields your report needs |
| Regional website research | The intended market, with usable page content |
| Everyday browsing | Pages, links and essential controls work |
| Repeated checks | The job keeps producing useful results over the period you need |
| A larger data project | A cost per useful result you can afford |
I would use a low fraud score to shortlist addresses, then judge them against these business questions. Record failed pages separately from wrong products or missing fields. Those problems need different fixes, and replacing every proxy may leave the real cause untouched.
If a supplied proxy misses a stated requirement, send the provider the address, approximate time and a short example. If a checker appears to classify it incorrectly, use that checker's correction route. Clear evidence is easier to act on than a request for an IP that will score zero everywhere.
Frequently Asked Questions About IP Fraud Scores
Can clearing cookies change the score?
Cookies are browser state. Deleting them does not erase an address's recorded network history in a third party's database. A destination might assess browser state separately, so its behavior could change, but that should not be described as repairing the public IP's fraud score.
Is a DNS server address the IP I should check?
Usually the relevant address is the public exit used by the application making the request. A DNS resolver has a different job and is not a substitute for that exit. Check from the configured client, particularly if the browser and another application use different routes.
Can two people on the same Wi-Fi see different results?
They may check different address families, use different applications or have additional routing enabled. They can also use different checker settings. Compare the complete public address and lookup method before assuming the shared Wi-Fi means every result must match. The device alone is not the lookup input.
Does a new static IP start with no history?
An IP newly assigned to your account is not necessarily a newly created or previously unused address. Ask about the resource and any applicable replacement terms, then check it against the requirements of your task. The word static describes assignment behavior rather than a guaranteed reputation history.
Can I combine several scores into one quality percentage?
Different providers' scales and abuse-confidence measures are not necessarily comparable. Keep the original outputs with their names and meanings. If you build an internal decision rule, define it as your own rule and validate it against your task instead of presenting an average as an industry standard.
