Real-Time Threat Intelligence
Check domains, IPs, and URLs against 50+ threat intelligence sources. Get instant risk scores, historical data, and detailed analysis.
Real Data, Real Depth
Every lookup returns a comprehensive intelligence package — risk scoring, source breakdown, geolocation, MITRE mapping, and confidence metrics.
Risk Score
Categories
Geolocation
Blocklist Hits
Confidence
75%Risk Factors
MITRE ATT&CK Tactics
What's In Every Response
Risk Score
Composite 0-100 score weighted across threat feeds, scanner consensus, infrastructure, and behavioral context.
Source Coverage
50+ threat feeds aggregated by category: malware, phishing, abuse, proxy, and more — each with reliability weighting.
MITRE ATT&CK
Tactics, techniques, related threat actor groups, and recommended mitigations from the MITRE framework.
Geolocation
Country, region, city, ISP, ASN, and autonomous system ownership at global scale with lat/lon precision.
Detection Timeline
First seen, last seen, and full detection history across all monitoring windows and source updates.
Confidence Breakdown
Multi-factor confidence: source agreement, source quality, VirusTotal consensus, and inter-provider alignment.
Intelligence Tools
Comprehensive threat analysis for every attack surface
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Guides and research
May 10, 2026AI-Enabled Device Code Phishing: How OAuth Tokens Became the New Credential Theft TargetDevice code phishing turns a legitimate OAuth flow into a token theft path. Learn how AI-assisted lures, Entra ID abuse, and session token replay change phishing detection in 2026.
May 9, 2026MCP Security Risks: Tool Poisoning, Prompt Injection, and the New AI Agent Attack SurfaceModel Context Protocol integrations give agents access to tools, files, and services. That power creates new risks: tool poisoning, prompt injection, overbroad permissions, and untrusted server abuse.
May 8, 2026LLMjacking Explained: How Attackers Abuse Cloud Credentials to Steal AI ComputeLLMjacking combines cloud credential theft with expensive AI workloads. Learn how attackers find exposed keys, abuse model APIs, hide compute costs, and how defenders can detect the pattern.