Whether you’re a e-commerce platform that blocks IP lookup with fraud scoring from accessing discounts or a fintech app that flags high-risk IP addresses during sensitive transactions, an effective real-time IP abuse detection feed strengthens your defenses and improves user experience. With our structured feed, you’ll get detailed data about a specific IP address’s behavior—not just its reputation score but the types of abusive activity associated with it. Each entry is tagged with labels such as bot attacks, denial of service attempts, credential stuffing, and port scans, and it’s updated every five minutes to ensure accuracy and precision.

Bad actors are growing more sophisticated, using tools like residential proxies and VPNs to hide their location and avoid detection. Even so, an IP address’s history of abuse can be a strong indicator of its trustworthiness. And as attacks like phishing and spoofing continue to disrupt services and erode trust, it’s critical that organizations spot these warning signs—and act quickly.

The IPQS Abuse Feed is a structured data source that’s delivered as downloadable JSON files for offline analysis and integration into your existing systems. It’s a great fit for environments that require offloading from continuous API calls, such as those with data residency or data retention policies. The feed enables teams to make faster, better decisions with reliable, consistent threat intelligence—from fraud teams expanding blocklists with confirmed high-risk IPs to security operations reviewing historical attack patterns and feeding the data into their detection systems. In addition, the feed strengthens visibility across your security infrastructure by integrating records from our residential proxy and malware feed.