Abuse IP DB

AbuseIPDB is a community-maintained IP address reputation database that allows network operators, security researchers, and investigators to report and lookup IP addresses associated with malicious activity including port scanning, brute force attacks, spam, DDoS participation, phishing, and other abusive behaviors. The database aggregates millions of reports to produce reputation scores for individual IP addresses.

For OSINT investigators, AbuseIPDB provides rapid threat intelligence context for any IP address encountered during an investigation. A single lookup returns the IP's abuse confidence score (0-100%), the number of reports, the most recent report date, abuse categories reported, the reporting ISP, and country information. This multi-dimensional context helps investigators quickly assess whether an IP is a known bad actor or has a clean history.

High abuse confidence scores indicate that the IP is consistently associated with malicious activity across many independent reporters — a strong signal of malicious infrastructure rather than a compromised innocent host. Low scores with recent reports may indicate a recently compromised legitimate system.

AbuseIPDB's abuse category taxonomy distinguishes between different threat types: port scanning and vulnerability probing, web application attacks, brute force attempts, spam origination, phishing, distributed attack participation, and others. This categorization helps investigators understand the specific threat profile of a reported IP.

For incident response, AbuseIPDB serves as an immediate context provider for IPs appearing in security logs. When processing firewall logs or IDS alerts, AbuseIPDB lookups distinguish between known-bad IPs that have been widely reported and IPs that have not been previously associated with malicious activity.

The platform also supports IP range lookups (CIDR notation) to assess reputation across entire network blocks, useful when investigating infrastructure clusters.

Investigators can report abusive IPs directly to the database, contributing to the community intelligence pool. Most organizations benefit from implementing automated abuse reporting to AbuseIPDB as part of their incident response process.

Record the IP queried, abuse confidence score, abuse categories, report count, and most recent report date with query timestamp for case documentation.