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WhoisXML API Blog

WhoisXML API Launches Website Categorization API V3

We are excited to introduce Website Categorization API V3, the latest addition to our Website Categorization product line. This innovative release enables more accurate website classification with its enhanced website categorization model, additional output data points, and relevant categories.

Specific improvements to this version of Website Categorization API include:

Newly Registered Domains (NRD2) Coverage Increased by 89% in 2023

As part of WhoisXML API’s efforts to continuously improve its products and services, the coverage and quality of the Newly Registered Domains (NRD2) Data Feed significantly improved over the past months. More precisely, the latest Q3 2023 measurements show that the data feed’s coverage increased by 89% since the last quarter of 2022.

Important Product Announcement—NRD 1.0 End of Life (EOL) and Migration to NRD 2.0

Within the next months, we will stop supporting Newly Registered Domain (NRD) 1.0 and steadily continue user migration to NRD 2.0, an upgraded version with more comprehensive data coverage and event monitoring than ever before.

To facilitate this transition, we divided the process into two parts. The end of support for NRD 1.0 is scheduled for 1 March 2024. That means our development team will stop providing fixes and technical support for this version by that date. By 31 December 2024, we will entirely discontinue NRD 1.0 and will thus no longer provide any related service files or updates, except for NRD quarterly files that will remain accessible using NRD1 credentials after the EOL period.

Predict Phishing Attacks with Our Early Warning Phishing Feed

WhoisXML API recently launched the Early Warning Phishing Feed (EWPF), a new predictive intelligence source that provides daily lists of domains likely to figure in phishing attacks. It aims to supplement and enhance existing phishing detection, brand protection, domain filtering, and law enforcement processes.

“Our Early Warning Phishing Feed provides predictive threat intelligence to help organizations stay ahead of phishing attacks amid today’s fast-moving cybercrime landscape. This new product rightly aligns with the company’s commitment to make the Internet safer,” says Jonathan Zhang, WhoisXML API CEO.

Access Our Premium DNS Database with the Largest, Most Unique DNS Coverage in the Market

WhoisXML API recently launched Premium DNS Database, a passive DNS database download variant with expanded coverage that is now expected to be the largest on the market with the highest number of unique fully qualified domain names (FQDNs).

This significant improvement is part of our ongoing efforts to help make the Internet safer and more transparent. With our Premium DNS Database, enterprises can gain an even more comprehensive view of the DNS, where ongoing Internet activities are recorded as they occur at a massive scale.

Widen Your Threat Visibility with Our New Threat Intelligence Data Feeds (TIDF)

In line with our mission of making the Internet safer, WhoisXML API recently launched a new Threat Intelligence Data Feeds (TIDF) offering with the goals of complementing existing security intelligence and systems, widening threat visibility, and accelerating threat response.

“Our Threat Intelligence Data Feeds help achieve superior coverage of known bad web assets. The current cybercrime climate demands extensive threat intelligence to detect malicious events and categorize them into threat types while enabling organizations to act quickly,” says Jonathan Zhang, CEO of WhoisXML API.

Predictive Threat Intelligence: Introducing the New Early DGA Detection Feed

The current cyber threat landscape leaves security teams with no option but to be proactive and continuously aim to stay one step ahead of threat actors. To supplement existing threat intelligence feeds that keep track of known bad properties, WhoisXML API recently launched the Early DGA Detection Feed. This predictive threat intelligence source tracks new domains created algorithmically, leveraging a combination of Machine Learning and Artificial Intelligence, typically identifying pre-weaponizationed domains as they get registered.

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