Protect account access
Spot risky sources at signup and login. Add IP evidence to your defenses against credential stuffing, account takeover, and automated abuse.
Signups · Logins · Account recoveryMake better decisions about the traffic you trust. ACE v2 brings FraudGuard’s own threat observations, risk guidance, and IP context into one API response.
8.216.12.173 Critical riskAlibaba Cloud Tokyo, Japan
Observed in the prior 7 days
2 events1 eventIntelligence we collect ourselves
ACE stands for Attack Correlation Engine. Our honeypot network observes hostile activity firsthand. ACE connects those observations so you can see what an IP has actually done.
Explore a real IPSee attacks, targeted services, and recent activity captured across FraudGuard’s own proprietary threat network.
Correlate repeat activity and honeypot reach. AI/ML layers help assess attack intent.
Get a recommended action, risk level, confidence factors, and the evidence behind them.
The single IP lookup
Actionable guidance for your application.
Clear evidence for the people behind it.
The complete example, from recommendation to network context.
{
"ip": "8.216.12.173",
"recommendation": {
"action": "block",
"evidence_summary": "This IP was observed performing 3 total attack events across 2 FraudGuard honeypots in the last 7 days, including 2 Jenkins probing events and 1 HTTP/WAF probing event, most recently on May 26, 2026 at 19:31 UTC.",
"cache_ttl_seconds": 14400
},
"classification": {
"primary": "web_scanner",
"secondary": [
"multi_service_scanner",
"honeypot_attacker",
"ai_automation",
"hosting_provider"
]
},
"risk": {
"level": 5,
"label": "critical",
"confidence": 85,
"confidence_factors": [
"recent_activity",
"repeated_activity",
"multi_honeypot_reach",
"specific_attack_signature",
"multiple_attack_types",
"multiple_target_services"
]
},
"observed_activity": {
"observed": true,
"attack_families": [
"web_probe"
],
"activity": {
"pattern": "burst",
"trend": "burst",
"attack_events_24h": 3,
"attack_events_7d": 3,
"attack_events_30d": 3,
"distinct_attack_types_30d": 2,
"distinct_target_services_30d": 2,
"distinct_target_ports_30d": 2,
"first_seen": "2026-05-26T15:45:54+00:00",
"last_seen": "2026-05-26T19:31:59+00:00"
},
"attacks": [
{
"type": "jenkins_login_page_probe",
"service": "jenkins",
"protocol": "http",
"destination_port": 8080,
"attack_events_24h": 2,
"attack_events_7d": 2,
"attack_events_30d": 2,
"honeypots_reached_24h": 1,
"honeypots_reached_7d": 1,
"honeypots_reached_30d": 1,
"first_seen": "2026-05-26T15:45:54+00:00",
"last_seen": "2026-05-26T15:45:57+00:00"
},
{
"type": "waf_attack",
"service": "http",
"protocol": "http",
"destination_port": 80,
"attack_events_24h": 1,
"attack_events_7d": 1,
"attack_events_30d": 1,
"honeypots_reached_24h": 1,
"honeypots_reached_7d": 1,
"honeypots_reached_30d": 1,
"first_seen": "2026-05-26T19:31:59+00:00",
"last_seen": "2026-05-26T19:31:59+00:00"
}
],
"last_observed_attack": {
"event_type": "waf_attack",
"service": "http",
"protocol": "http",
"destination_port": 80,
"observed_at": "2026-05-26T19:31:59+00:00"
}
},
"attributes": {
"ai_automation_suspected": {
"detected": true
}
},
"reasons": [
{
"code": "abusive_activity_observed",
"message": "Abusive activity observed by FraudGuard ACE",
"severity": "high"
},
{
"code": "scanner_activity_observed",
"message": "Scanner or probing activity observed",
"severity": "medium"
},
{
"code": "honeypot_interaction_observed",
"message": "Interaction observed across FraudGuard honeypot infrastructure",
"severity": "high"
},
{
"code": "waf_attack_activity_observed",
"message": "HTTP/WAF attack activity observed",
"severity": "high"
},
{
"code": "activity_within_7_days",
"message": "Activity observed within the last 7 days",
"severity": "high"
}
],
"customer": {
"ip_in_whitelist": false,
"ip_in_blacklist": false,
"ip_in_geoblock": false
},
"infrastructure": {
"type": "hosting_provider",
"provider": "Alibaba Cloud",
"is_tor_exit": false,
"is_public_proxy": false,
"is_vpn": false,
"is_hosting_provider": true,
"is_residential_proxy": false,
"is_mobile_network": false,
"is_satellite_network": false,
"is_shared_exit": false,
"is_ai_agent": false,
"first_seen": "2026-05-18T02:44:12+00:00",
"last_seen": "2026-05-18T15:07:09+00:00",
"updated_at": "2026-05-18T15:07:09+00:00"
},
"network": {
"asn": 45102,
"asn_org": "Alibaba US Technology Co., Ltd.",
"isp": "Alibaba",
"organization": "Alibaba",
"prefix": "8.216.12.0/24",
"connection_type": "Corporate"
},
"geography": {
"country": "Japan",
"isocode": "JP",
"state": "Tokyo",
"city": "Tokyo",
"postal_code": "102-0082",
"timezone": "Asia/Tokyo",
"latitude": 35.6893,
"longitude": 139.6899
},
"metadata": {
"request_id": "acev2_example_single_lookup",
"generated_at": "2026-05-27T00:47:35+00:00",
"schema_version": "2.0.0",
"api_version": "2.0.0",
"engine": "ace_v2"
}
}
Put the intelligence to work
One source of IP intelligence.
Across your fraud and security workflows.
Spot risky sources at signup and login. Add IP evidence to your defenses against credential stuffing, account takeover, and automated abuse.
Signups · Logins · Account recoveryBring observed abuse, proxy and VPN signals, and location into payment reviews. Decide when a transaction deserves another check.
Payments · Promo abuse · Fraud reviewEnrich WAF events, API traffic, and analyst queues with attacker history. Give your team the context to investigate and act.
WAF · SIEM / SOAR · API securityYes. Use the public IP lookup to explore the recommendation, evidence, and infrastructure context for an IP you know. When you’re ready to test ACE v2 in your application, start a free trial.
FraudGuard’s own honeypot network observes attacker behavior directly. ACE v2 correlates those observations and uses AI/ML layers to help assess intent, so you can review the activity behind a recommendation.
ACE v2 recommends allow, challenge, or block. Your application or security integration decides how to act. Your whitelist, blacklist, and geoblock matches are returned separately so you can apply your own policy.
No. Infrastructure is context. Consider VPN, proxy, Tor, and hosting signals alongside observed behavior, the ACE recommendation, and your own traffic before taking action.
Start with ACE v2’s recommended action, then apply your own policy. A low score can still carry a challenge recommendation. Combine the IP evidence with your own login, payment, and application signals to decide what to trust.
Both. Single IP intelligence is available on Professional and above. Bulk IP intelligence is available on Business and above for logs, queues, and larger datasets. Compare plans for allowances and pricing.
See it for yourself
Explore the evidence in a public lookup.
Then put ACE v2 behind your next decision.