Inside the IPQS Honeypot Intelligence Network

Fraud rarely begins at the moment of payment. It often starts earlier, when bots probe sign-up forms, login pages, and other public-facing areas for vulnerabilities. Honeypots let us detect this activity in real time. At IPQS, honeypots are integrated into our threat intelligence network, providing direct insight into malicious behavior across the web.

A honeypot is a trap designed for abusive traffic. It may be a hidden field, fake form, decoy site, or simulated environment that looks legitimate to bots or fraud tools. Real users typically ignore it, but bots interact with the trap, revealing details such as IP addresses, behavioral patterns, attack methods, automation signals, and other abuse indicators. That matters because fraud tools leave patterns behind. A bot that uses fake accounts does not move through a page the same way a real customer does. A script testing stolen credentials behaves differently from a normal login. A proxy network rotating through abusive traffic leaves different clues than a household connection. Honeypots give us a controlled way to capture those signals early, before they are diluted into generic blocklists or are delayed by outside feeds.

We gather intelligence from a broad, proprietary network. Our data sources include honeypots, traps, crawlers, and thousands of live sites participating in our threat intelligence network. With over 100,000 honeypots in more than 150 countries, we capture high-risk activity globally. Some endpoints act as fake storefronts or simulated environments to attract fraudsters at various attack stages, while others are stand-alone businesses that draw real-world bot traffic.

The data we collect reflects the abuse businesses see every day. Our honeypot network captures signals related to fraudulent payments, bot attacks, fake accounts, account takeover attempts, click fraud, stolen user data, credential stuffing, brute force attempts, proxy and VPN use, anonymizing services, spam campaigns, and phishing activity. Because these signals come from live interactions, they give us firsthand intelligence on the tools, infrastructure, and behavior patterns behind the abuse.

This intelligence does not sit in a static archive. It feeds directly into our fraud scoring systems. Our IP fraud scoring stack uses the IPQS honeypot threat network to identify compromised devices, botnets, proxy networks, Tor exit nodes, VPN services, residential proxy connections, abuse software, emulators, and other high-risk behavior signals. By harvesting live malicious traffic data, we build risk profiles in real time, enabling scores to adjust to upcoming threats as they appear.

Freshness is key to why this works. We scan billions of IP addresses daily, detect new threats every second, and refresh parts of our threat data every five minutes. This ensures our models use current signals, allowing faster fraud detection and lowering false positives by providing direct behavioral context to each decision.

This is where honeypots become a real differentiator for IPQS. Many fraud tools depend heavily on third-party data that arrives after the abuse has already spread. Our honeypot network is owned and operated by us, so we are not limited by the lag or licensing boundaries that can come with outside sources. We gather fraud intelligence at the source, verify it against live activity, and feed it back into detection systems without waiting for someone else to package it first.

For customers, this results in stronger fraud detection throughout signups, logins, transactions, ad traffic, and other vulnerable workflows. Honeypots help us spot suspicious infrastructure early, connect related attack patterns, and strengthen the signals behind our risk scoring. They also reveal abuse that public blocklists and recycled feeds may miss entirely.

At IPQS, a honeypot is more than a trap. It is a live sensor for fraud intelligence. It attracts bad traffic, records how that traffic behaves, and turns those observations into data we can use across our products. That is what makes the honeypot network so valuable to IPQS. It gives us firsthand intelligence gathered from real attacks, collected from our own network, and fed back into our detection systems in real time.