Want to learn more?
Learn how IP reputation scores work and how they help identify malicious traffic sources.
Read the guideFree IP Risk Score Checker
This IP risk checker returns a reputation and fraud score for any public IPv4 or IPv6 address, along with the specific threat signals behind that score: whether the address is a TOR exit node, a VPN endpoint, an open proxy, a data centre range, or a source of abnormal traffic. It also reports how many times the address has been observed in risk events over the past 60 days, resolves the owning ASN, organisation, and ISP, and returns city-level geolocation and connection type. Enter an address and get an answer in seconds, or click Check My IP to score the address you are browsing from.
People reach an IP score check from two directions. Either you are on the defensive side—you have a suspicious address in a firewall log, a signup form, or a payment attempt, and you need to decide whether to block, challenge, or allow it. Or you are on the receiving end: a site has blocked or challenged you and you want to know what your own IP looks like to their fraud engine. This tool serves both cases with the same data.
What the IP Risk Score Means
The risk score is a four-band classification rather than an arbitrary 0–100 number, which makes it directly actionable in a rules engine.
| Score | Interpretation | Typical response |
|---|---|---|
| Low | Minimal risk signals. Behaves like an ordinary residential or corporate user. | Allow under standard policy |
| Medium | Some suspicious indicators present. Not conclusive on its own. | Challenge with CAPTCHA or step-up verification |
| High | Significant risk indicators. Elevated probability of abuse. | Restrict, rate limit, or require strong verification |
| Extreme | Multiple critical indicators. Strongly associated with abusive traffic. | Block from sensitive resources |
Sitting beside the score is a recently seen count: the number of times the address has been detected in risk events across the upstream sensor network in the last 60 days. A clean, low-risk address typically shows zero. A count above 50 means the address is actively and repeatedly involved in flagged activity, which is a much stronger signal than any single boolean indicator and is worth alerting on in its own right.
The Threat Indicators Explained
The score is a summary; the indicators are the evidence. Six flags are evaluated on every lookup, each with a severity, so you can build policy on the specific signal rather than on the aggregate.
- TOR exit node (critical) — traffic is emerging from the TOR anonymity network. Legitimate uses exist, but for e-commerce checkout or account creation this is a near-universal block signal.
- VPN service (high) — the address belongs to a commercial VPN provider. Note that VPN use is completely normal for privacy-conscious and remote-working users; treat it as a factor, not a verdict.
- Proxy server (high) — traffic is being relayed through a proxy, which conceals the true origin and is heavily used in credential stuffing and scraping.
- Data centre (medium) — the address is allocated to cloud or hosting infrastructure rather than a consumer or business access network. Ordinary humans rarely browse from AWS, and this is one of the highest-yield signals for automated traffic.
- Masked devices (medium) — multiple devices behind the address are presenting deliberately obscured fingerprints, consistent with anti-detect browsers and farm infrastructure.
- Abnormal traffic (high) — the volume or pattern of requests from this address deviates from normal user behaviour.
A separate search engine bot flag identifies legitimate crawlers such as Googlebot and Bingbot. This matters because crawlers necessarily originate from data centre ranges and would otherwise be caught by a naive data-centre block. When the flag is set, the tool’s recommendations explicitly carve crawlers out rather than telling you to block them.
Reading the Network and Geolocation Data
Every lookup also returns the context you need to interpret the score, and to escalate if necessary.
| Field | What it tells you |
|---|---|
| ASN | Autonomous System Number of the network announcing the address—the unit at which you would apply a network-wide block |
| Organization | Registered owner from WHOIS data |
| ISP | The provider actually serving the connection, and the party you would send an abuse report to |
| City, Region, Country | Approximate physical location, with an ISO 3166 country code for geo-rules |
| Timezone | IANA zone for the address, useful for checking whether activity timing matches the claimed location |
| Connection type | Residential, Mobile, Corporate, Satellite, WiFi, or Cellular |
Connection type deserves attention in fraud review. A payment claiming to come from a suburban customer but arriving over a corporate or data centre connection in a different country is a mismatch worth acting on. Conversely, mobile and cellular addresses are shared by large numbers of subscribers through carrier-grade NAT, so a bad reputation on a mobile IP says much less about the individual user than a bad reputation on a residential one.
Geolocation is inferred from registry and network data, not GPS. City-level accuracy is typically good for fixed-line connections and considerably worse for mobile and satellite. Treat country as reliable and city as indicative. For a location-focused lookup with more geographic detail, use the IP geolocation lookup.
How to Use the IP Risk Checker
- Enter an IP address in either format—
8.8.8.8for IPv4 or2001:db8::1for IPv6. Input is validated before any lookup runs, and the tool tells you which format it detected. - Or click Check My IP to auto-detect and score your own public address, which is the fastest way to see what a site’s fraud engine sees when you connect.
- Read the risk gauge for the Low / Medium / High / Extreme classification and the recently-seen event count.
- Scan the threat indicator grid to see which of the six signals are active and at what severity. This is where you learn why the score is what it is.
- Review the generated recommendations. Each one names a scenario, a suggested action—block, challenge, monitor, or allow—and a priority, derived from the specific combination of flags on this address.
- Check the network and geolocation panel for ASN, organisation, ISP, location, and connection type before you act.
- Export the result as JSON for a SIEM or script, as CSV for a spreadsheet, or copy a formatted text report straight into a ticket.
Results are cached in your browser for 30 minutes, so re-checking the same address during an investigation is instant and does not consume another lookup.
Turning a Score Into a Policy
The recommendations panel is deliberately conditional rather than generic. An Extreme score produces an immediate block recommendation. Any anonymiser flag produces a block for proxy, VPN, and TOR traffic—unless the search engine bot flag is also set, in which case it recommends allowing crawlers through the same rule. A Medium score produces a challenge recommendation rather than a block, since a false positive there costs you a real customer. A data centre address with no bot flag produces a challenge or rate-limit suggestion. More than 50 recent risk events produces a monitoring recommendation regardless of the headline score.
The general principle when operationalising this: block on the extremes, challenge in the middle, and never build a policy on a single indicator alone. A VPN flag by itself is not fraud—a large share of ordinary remote workers are permanently behind one. A VPN flag combined with a data centre allocation, an Extreme score, and 200 recent risk events is a different proposition entirely. Layer IP reputation with device signals and behavioural checks rather than treating it as a verdict.
Limits Worth Knowing
- Private addresses cannot be scored. RFC 1918 ranges such as
10.0.0.0/8,172.16.0.0/12, and192.168.0.0/16, along with loopback and other reserved ranges, are rejected with an explanatory message. They have no global reputation because they are not globally routable. - Addresses are reassigned. Residential IPs rotate through DHCP and cloud IPs are recycled constantly, so reputation is a point-in-time observation, not a permanent property. A block list built from raw IPs needs an expiry.
- Shared infrastructure spreads blame. Carrier-grade NAT, campus networks, and corporate egress points put thousands of users behind one address. One bad actor taints the score for everyone sharing it.
- Absence of flags is not proof of safety. A brand-new residential address used for fraud for the first time will score Low. IP reputation catches repeat and infrastructure-based abuse, which is most of it, but not the first attempt.
If you are investigating an address as part of a wider incident, the WHOIS lookup gives you registration and abuse contact details for the netblock, and the security tools collection covers the related analysis utilities.
Frequently Asked Questions
What is an IP risk score?
It is a classification of how likely traffic from an address is to be abusive, derived from observed activity and from infrastructure characteristics such as proxy, VPN, TOR, and data centre membership. This tool reports it on a four-band scale—Low, Medium, High, or Extreme—alongside the individual signals that produced it.
How do I check my own IP score?
Click Check My IP. The tool detects your public address and runs the same analysis against it, showing you the risk band, active threat indicators, and network details that a site’s fraud system would see when you connect.
Why is my IP flagged as high risk when I have done nothing wrong?
The most common causes are a commercial VPN, a shared carrier-grade NAT address on mobile broadband, or an address recently reassigned to you after a previous holder abused it. Disconnecting a VPN, or renewing your address by restarting your router, often resolves it. Persistent problems can be raised with your ISP.
Does a VPN or proxy flag mean the traffic is fraudulent?
No. Millions of legitimate users are behind VPNs for privacy or corporate access. Treat anonymiser flags as a risk factor to be weighed with other signals, not as proof of fraud. The severity ratings in the indicator grid exist precisely to support that weighting.
Can it check IPv6 addresses?
Yes. Both IPv4 and IPv6 are validated and supported, and the tool tells you which format it detected before running the lookup.
Why can I not check a private IP like 192.168.1.1?
Private and reserved ranges are not globally routable, so they have no internet-wide reputation to report. The tool detects them during validation and explains this rather than returning a meaningless score.
What does the recently-seen count mean?
It is the number of times the address has been detected in risk events across the upstream sensor network over the past 60 days. Zero is typical for clean addresses; a count above 50 indicates sustained involvement in flagged activity and warrants monitoring regardless of the headline score.
Can I export the results?
Yes. Every report can be downloaded as JSON for programmatic use, downloaded as CSV for a spreadsheet, or copied as formatted text for pasting into a ticket or an incident write-up.
Should I block every high-risk IP automatically?
Block on Extreme, challenge on Medium and High, and always expire IP-based blocks, since addresses are reassigned constantly. Combine IP reputation with device and behavioural signals—an IP-only policy generates false positives against legitimate VPN and mobile users.
Is the lookup free?
Yes. There is no account, no signup, and no payment. Results are cached in your browser for 30 minutes so repeated checks of the same address during an investigation are instant.
Free IP Risk Score Checker
This IP risk checker returns a reputation and fraud score for any public IPv4 or IPv6 address, along with the specific threat signals behind that score: whether the address is a TOR exit node, a VPN endpoint, an open proxy, a data centre range, or a source of abnormal traffic. It also reports how many times the address has been observed in risk events over the past 60 days, resolves the owning ASN, organisation, and ISP, and returns city-level geolocation and connection type. Enter an address and get an answer in seconds, or click Check My IP to score the address you are browsing from.
People reach an IP score check from two directions. Either you are on the defensive side—you have a suspicious address in a firewall log, a signup form, or a payment attempt, and you need to decide whether to block, challenge, or allow it. Or you are on the receiving end: a site has blocked or challenged you and you want to know what your own IP looks like to their fraud engine. This tool serves both cases with the same data.
What the IP Risk Score Means
The risk score is a four-band classification rather than an arbitrary 0–100 number, which makes it directly actionable in a rules engine.
| Score | Interpretation | Typical response |
|---|---|---|
| Low | Minimal risk signals. Behaves like an ordinary residential or corporate user. | Allow under standard policy |
| Medium | Some suspicious indicators present. Not conclusive on its own. | Challenge with CAPTCHA or step-up verification |
| High | Significant risk indicators. Elevated probability of abuse. | Restrict, rate limit, or require strong verification |
| Extreme | Multiple critical indicators. Strongly associated with abusive traffic. | Block from sensitive resources |
Sitting beside the score is a recently seen count: the number of times the address has been detected in risk events across the upstream sensor network in the last 60 days. A clean, low-risk address typically shows zero. A count above 50 means the address is actively and repeatedly involved in flagged activity, which is a much stronger signal than any single boolean indicator and is worth alerting on in its own right.
The Threat Indicators Explained
The score is a summary; the indicators are the evidence. Six flags are evaluated on every lookup, each with a severity, so you can build policy on the specific signal rather than on the aggregate.
- TOR exit node (critical) — traffic is emerging from the TOR anonymity network. Legitimate uses exist, but for e-commerce checkout or account creation this is a near-universal block signal.
- VPN service (high) — the address belongs to a commercial VPN provider. Note that VPN use is completely normal for privacy-conscious and remote-working users; treat it as a factor, not a verdict.
- Proxy server (high) — traffic is being relayed through a proxy, which conceals the true origin and is heavily used in credential stuffing and scraping.
- Data centre (medium) — the address is allocated to cloud or hosting infrastructure rather than a consumer or business access network. Ordinary humans rarely browse from AWS, and this is one of the highest-yield signals for automated traffic.
- Masked devices (medium) — multiple devices behind the address are presenting deliberately obscured fingerprints, consistent with anti-detect browsers and farm infrastructure.
- Abnormal traffic (high) — the volume or pattern of requests from this address deviates from normal user behaviour.
A separate search engine bot flag identifies legitimate crawlers such as Googlebot and Bingbot. This matters because crawlers necessarily originate from data centre ranges and would otherwise be caught by a naive data-centre block. When the flag is set, the tool’s recommendations explicitly carve crawlers out rather than telling you to block them.
Reading the Network and Geolocation Data
Every lookup also returns the context you need to interpret the score, and to escalate if necessary.
| Field | What it tells you |
|---|---|
| ASN | Autonomous System Number of the network announcing the address—the unit at which you would apply a network-wide block |
| Organization | Registered owner from WHOIS data |
| ISP | The provider actually serving the connection, and the party you would send an abuse report to |
| City, Region, Country | Approximate physical location, with an ISO 3166 country code for geo-rules |
| Timezone | IANA zone for the address, useful for checking whether activity timing matches the claimed location |
| Connection type | Residential, Mobile, Corporate, Satellite, WiFi, or Cellular |
Connection type deserves attention in fraud review. A payment claiming to come from a suburban customer but arriving over a corporate or data centre connection in a different country is a mismatch worth acting on. Conversely, mobile and cellular addresses are shared by large numbers of subscribers through carrier-grade NAT, so a bad reputation on a mobile IP says much less about the individual user than a bad reputation on a residential one.
Geolocation is inferred from registry and network data, not GPS. City-level accuracy is typically good for fixed-line connections and considerably worse for mobile and satellite. Treat country as reliable and city as indicative. For a location-focused lookup with more geographic detail, use the IP geolocation lookup.
How to Use the IP Risk Checker
- Enter an IP address in either format—
8.8.8.8for IPv4 or2001:db8::1for IPv6. Input is validated before any lookup runs, and the tool tells you which format it detected. - Or click Check My IP to auto-detect and score your own public address, which is the fastest way to see what a site’s fraud engine sees when you connect.
- Read the risk gauge for the Low / Medium / High / Extreme classification and the recently-seen event count.
- Scan the threat indicator grid to see which of the six signals are active and at what severity. This is where you learn why the score is what it is.
- Review the generated recommendations. Each one names a scenario, a suggested action—block, challenge, monitor, or allow—and a priority, derived from the specific combination of flags on this address.
- Check the network and geolocation panel for ASN, organisation, ISP, location, and connection type before you act.
- Export the result as JSON for a SIEM or script, as CSV for a spreadsheet, or copy a formatted text report straight into a ticket.
Results are cached in your browser for 30 minutes, so re-checking the same address during an investigation is instant and does not consume another lookup.
Turning a Score Into a Policy
The recommendations panel is deliberately conditional rather than generic. An Extreme score produces an immediate block recommendation. Any anonymiser flag produces a block for proxy, VPN, and TOR traffic—unless the search engine bot flag is also set, in which case it recommends allowing crawlers through the same rule. A Medium score produces a challenge recommendation rather than a block, since a false positive there costs you a real customer. A data centre address with no bot flag produces a challenge or rate-limit suggestion. More than 50 recent risk events produces a monitoring recommendation regardless of the headline score.
The general principle when operationalising this: block on the extremes, challenge in the middle, and never build a policy on a single indicator alone. A VPN flag by itself is not fraud—a large share of ordinary remote workers are permanently behind one. A VPN flag combined with a data centre allocation, an Extreme score, and 200 recent risk events is a different proposition entirely. Layer IP reputation with device signals and behavioural checks rather than treating it as a verdict.
Limits Worth Knowing
- Private addresses cannot be scored. RFC 1918 ranges such as
10.0.0.0/8,172.16.0.0/12, and192.168.0.0/16, along with loopback and other reserved ranges, are rejected with an explanatory message. They have no global reputation because they are not globally routable. - Addresses are reassigned. Residential IPs rotate through DHCP and cloud IPs are recycled constantly, so reputation is a point-in-time observation, not a permanent property. A block list built from raw IPs needs an expiry.
- Shared infrastructure spreads blame. Carrier-grade NAT, campus networks, and corporate egress points put thousands of users behind one address. One bad actor taints the score for everyone sharing it.
- Absence of flags is not proof of safety. A brand-new residential address used for fraud for the first time will score Low. IP reputation catches repeat and infrastructure-based abuse, which is most of it, but not the first attempt.
If you are investigating an address as part of a wider incident, the WHOIS lookup gives you registration and abuse contact details for the netblock, and the security tools collection covers the related analysis utilities.
Frequently Asked Questions
What is an IP risk score?
It is a classification of how likely traffic from an address is to be abusive, derived from observed activity and from infrastructure characteristics such as proxy, VPN, TOR, and data centre membership. This tool reports it on a four-band scale—Low, Medium, High, or Extreme—alongside the individual signals that produced it.
How do I check my own IP score?
Click Check My IP. The tool detects your public address and runs the same analysis against it, showing you the risk band, active threat indicators, and network details that a site’s fraud system would see when you connect.
Why is my IP flagged as high risk when I have done nothing wrong?
The most common causes are a commercial VPN, a shared carrier-grade NAT address on mobile broadband, or an address recently reassigned to you after a previous holder abused it. Disconnecting a VPN, or renewing your address by restarting your router, often resolves it. Persistent problems can be raised with your ISP.
Does a VPN or proxy flag mean the traffic is fraudulent?
No. Millions of legitimate users are behind VPNs for privacy or corporate access. Treat anonymiser flags as a risk factor to be weighed with other signals, not as proof of fraud. The severity ratings in the indicator grid exist precisely to support that weighting.
Can it check IPv6 addresses?
Yes. Both IPv4 and IPv6 are validated and supported, and the tool tells you which format it detected before running the lookup.
Why can I not check a private IP like 192.168.1.1?
Private and reserved ranges are not globally routable, so they have no internet-wide reputation to report. The tool detects them during validation and explains this rather than returning a meaningless score.
What does the recently-seen count mean?
It is the number of times the address has been detected in risk events across the upstream sensor network over the past 60 days. Zero is typical for clean addresses; a count above 50 indicates sustained involvement in flagged activity and warrants monitoring regardless of the headline score.
Can I export the results?
Yes. Every report can be downloaded as JSON for programmatic use, downloaded as CSV for a spreadsheet, or copied as formatted text for pasting into a ticket or an incident write-up.
Should I block every high-risk IP automatically?
Block on Extreme, challenge on Medium and High, and always expire IP-based blocks, since addresses are reassigned constantly. Combine IP reputation with device and behavioural signals—an IP-only policy generates false positives against legitimate VPN and mobile users.
Is the lookup free?
Yes. There is no account, no signup, and no payment. Results are cached in your browser for 30 minutes so repeated checks of the same address during an investigation are instant.
Suspicious Traffic in Your Logs?
Our SOC team monitors network traffic 24/7, correlating IPs against threat intelligence feeds.
What Is IP Risk Assessment
IP risk assessment evaluates the reputation and threat level of an IP address based on historical behavior, blocklist presence, geographic location, hosting characteristics, and association with malicious activity. Security teams use IP risk scores to make automated decisions about network access, email filtering, and threat prioritization.
Every IP address that connects to your systems carries a risk profile. IP addresses associated with botnets, spam networks, VPN exit nodes, Tor relays, or known command-and-control infrastructure represent higher risk than those associated with legitimate ISPs and corporate networks. This tool checks IP addresses against multiple reputation databases and threat feeds.
Risk Indicators
| Indicator | Risk Signal | Severity |
|---|---|---|
| Blocklist presence | IP appears on spam or abuse blocklists (Spamhaus, SORBS) | High |
| Bot network membership | IP associated with known botnet infrastructure | Critical |
| Tor exit node | IP is a Tor network exit point | Medium — may be legitimate privacy or attack masking |
| Open proxy/relay | IP operates as an open proxy or mail relay | High |
| VPN/hosting provider | IP belongs to a VPN or hosting service | Medium — common for legitimate and malicious use |
| Geographic anomaly | Connection from unusual country for the user | Medium |
| Recent abuse reports | IP has received recent abuse complaints | High |
| Port scanning activity | IP has been observed scanning networks | High |
| Hosting reputation | IP hosted on a provider known for bulletproof hosting | Critical |
| Age/registration | Recently allocated IP block with no history | Low-Medium |
Common Use Cases
- Email security: Check sender IP reputation before accepting email to filter spam and phishing without relying solely on content analysis
- Web application security: Evaluate IP risk for login attempts, API requests, and form submissions to detect automated attacks and credential stuffing
- Network access control: Implement risk-based access policies that require additional authentication or block connections from high-risk IP addresses
- Threat investigation: During incident response, assess the risk profile of IP addresses found in logs, alerts, and forensic evidence
- Fraud prevention: Score transaction risk based on the IP address of the buyer to detect fraudulent purchases from compromised or anonymized networks
Best Practices
- Use multiple reputation sources — No single blocklist is comprehensive. Aggregate results from Spamhaus, SORBS, VirusTotal, AbuseIPDB, and commercial threat feeds for accurate risk assessment.
- Apply context to risk scores — A Tor exit node connecting to your public website is different from one attempting SSH login. Apply risk scores in context of the requested resource and action.
- Don't block solely on IP reputation — IPs can be shared (NAT, CDN, VPN) and reputations change. Use IP risk as one factor in a multi-layered decision that includes behavior analysis and authentication.
- Update reputation data frequently — IP reputation is ephemeral. Addresses move between providers, botnets recruit new IPs, and previously malicious IPs are cleaned up. Use real-time or hourly-updated feeds.
- Log and review decisions — Track which IPs are blocked or flagged by risk scoring. False positives (blocking legitimate users) damage business. Review blocked IPs regularly for accuracy.
References & Citations
- MaxMind. (2024). MaxMind GeoIP2. Retrieved from https://www.maxmind.com/en/geoip2-services-and-databases (accessed January 2025)
- The Tor Project. (2024). Tor Bulk Exit List. Retrieved from https://check.torproject.org/torbulkexitlist (accessed January 2025)
Note: These citations are provided for informational and educational purposes. Always verify information with the original sources and consult with qualified professionals for specific advice related to your situation.
Key Security Terms
Understand the essential concepts behind this tool
Frequently Asked Questions
Common questions about the IP Risk Checker
IP reputation assesses trustworthiness based on historical behavior. Factors: spam/malware activity, botnet membership, proxy/VPN usage, abuse reports, geolocation anomalies. Reputation databases: Spamhaus, AbuseIPDB, IPVoid, ThreatFox. Scores: clean (low risk), suspicious (moderate), malicious (high). Used for: fraud prevention, rate limiting, access control, email filtering. Check inbound connections (logins, transactions, API requests). Update reputation scores regularly - IPs change owners/behavior.
VPN/proxy detection methods: 1) IP database lookups (IPHub, IPQualityScore) - maintain lists of known VPN/proxy IPs. 2) Port scanning (common proxy ports: 8080, 3128, 1080). 3) Reverse DNS (VPN providers have identifiable PTR records). 4) Timing analysis (increased latency). 5) WebRTC leak detection (reveals real IP). Use cases: prevent fraud, enforce geo-restrictions, detect account sharing. Limitation: residential proxies harder to detect. Combine multiple signals.
Threat intelligence score quantifies IP risk level (0-100). Calculated from: malware C2 activity, botnet membership, scanning behavior, spam sources, phishing sites, abuse reports, threat feed presence. High score (80+) = block, medium (40-79) = challenge (CAPTCHA, MFA), low (<40) = allow. Sources: AlienVault OTX, AbuseIPDB, VirusTotal, Shodan. Update scores daily. Use with context - recently reassigned IPs may have stale reputations. Combine with behavior analytics.
Tor exit node detection: 1) Query Tor Bulk Exit List (check.torproject.org). 2) DNS blackhole lookup (ip.dnsel.torproject.org). 3) Commercial APIs (IPQualityScore, IPHub). 4) Maintain local Tor exit node list (updated hourly). Exit nodes change frequently - update lists regularly. Use cases: prevent anonymous abuse, enforce access policies, fraud prevention. Consider: Tor used for legitimate privacy (journalists, activists). Balance security with privacy rights. Option: allow but require additional verification.
IP geolocation maps IPs to physical locations using routing data, registrar info, user-reported data. Accuracy: country (95-99%), city (55-80%), coordinates (~50km radius). Providers: MaxMind GeoIP2, IP2Location, ipdata. Data includes: country, region, city, coordinates, ISP, ASN, timezone. Used for: geo-blocking, fraud detection (billing vs IP mismatch), analytics, content localization. Limitations: VPNs/proxies show VPN location, mobile IPs imprecise, privacy concerns. Update databases monthly.
IP risk checking prevents credential stuffing (automated login attempts using breached passwords). Defenses: 1) Block high-risk IPs (data centers, botnets, Tor). 2) Rate limiting per IP. 3) CAPTCHA for suspicious IPs. 4) MFA for all accounts. 5) Credential breach monitoring. 6) Device fingerprinting. 7) Behavioral analysis (login patterns). 8) Bot detection (F5, DataDome). Block: IPs with high threat scores, proxy/VPN usage during login, abnormal login velocities. Monitor login attempts by IP.
Autonomous System Number (ASN) identifies network ownership (ISP, cloud provider, organization). Examples: AS15169 (Google), AS16509 (Amazon AWS), AS8075 (Microsoft Azure). Use for: identifying cloud/hosting IPs (higher fraud risk), ISP reputation, ASN-level blocking (block entire malicious networks), threat intelligence correlation. Check ASN: whois lookup, IP databases. High-risk ASNs: bulletproof hosting providers, known botnet operators. Whitelist: legitimate cloud services (verify API keys), corporate VPNs.
Check frequency depends on risk tolerance and traffic: Real-time checking: user logins, transactions, API calls (check every request). Cached checking: cache results 1-24 hours for performance (reduce API costs). Batch checking: nightly scans of access logs, firewall rules updates. Continuous monitoring: security tools (SIEM, firewall) with hourly threat feed updates. High-risk environments: check every request + update block lists hourly. Balance: API rate limits, latency, cost. Use multi-tier caching (Redis) for high-volume sites.
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