Dataset with IP classification

This dataset contains 2,499 IP addresses with comprehensive security intelligence features derived from multiple threat intelligence sources including AbuseIPDB, IPVoid, PulseDive, and VirusTotal. Each IP address is classified into one of three categories: Denylist (malicious), Suspicious, or Allowlist (benign). The dataset serves as a valuable resource for cybersecurity research, particularly for developing and evaluating IP reputation systems, threat detection algorithms, and machine learning models for classifying IP addresses based on their security risk profile. The features include confidence scores, report counts, detection metrics, and reputation scores that provide multi-dimensional insights into IP address behavior and threat levels.