Provide current and historical ownership information on domains / IPs. Identify all connections between domains, registrants, registrars, and DNS servers.
Get detailed context on an IP address, including its user’s geolocation, time zone, connected domains, connection type, IP range, ASN, and other network ownership details.
Get access to a web-based enterprise-grade solution to search and monitor domain registrations and ownership details for branded terms, fuzzy matches, registrants of interest, and more.
Enjoy priority data access with our premium API services topped with extra perks including dedicated team support, enterprise-grade infrastructure, and SLAs for full scalability and high performance.
Carry a complete threat intelligence analysis for a given domain or IP address and get access to a report covering 120+ parameters including IP resolutions, website analysis, SSL vulnerabilities, malware detection, domain ownership, mail servers, name servers, and more.
We offer comprehensive services for the integration of our data – from consultations to the precise definition of the basic needs of the business to increase the work efficiency.
Set up and manage public WHOIS servers for your business. Our WHOIS parsing system is a utility that collects extensive information about any given domain by sending series of DNS and WHOIS queries. The report is generated in raw as well as in parsed format.
Regardless of whether you are a startup, a small business or a global one, our team is always ready to help you. Enterprises operating on a scale can also choose special premium support management with high priority 24/7 email and telephone responses and other professional services.
The cyber threat landscape changes daily. These days, it’s the real people that are launching spam attacks and other malicious activities against networks. Traditional security measures that have previously been effective against various forms of attack are no longer adequate. With the growing number of sophisticated attacks, new security measures are needed.
There are more than three billion people around the world accessing the internet each day. Many of these internet users are looking for specific products and services. And within this growing pool of internet shoppers are potential customers looking for what you are specifically offering.
How do you tap into this great pool of prospective clients? The trick is in devising ways to market your products and services to the people who are most likely to want or need them. Smart online businesses use server-based web analytics tools that allow them to examine their traffic and identify the buying trends and patterns of their customers. One of the increasingly popular analytics tools is the reverse DNS system.
Spoofing is a situation in which an entity (person or software program) successfully impersonates and masquerades as another successful one, with the purpose of gaining an advantage with regards to personal or business information or brand goodwill. Domain spoofing occurs when an attacker appears to use a company's domain to impersonate and masquerade a company and or its products or brands. The domain spoofer may later use the deceived domain name to induce fraudulent practice like phishing i.e. sending deceptive emails pretending to be from a reputed company in order to induce individuals to reveal passwords, credit card numbers or download malicious files.
Email marketing is one of the most effective forms of online marketing. Even with the growing popularity of social media marketing, many still use their emails for professional purposes. Furthermore, most people prefer to be contacted via email since it is seen as a less-intrusive form of communication. This is especially true when receiving emails from non-personal contacts. Maintaining an email list can be complicated when senders decide to use fake or corrupted emails. Using email verification is a great way to clean up your email list and ensure that the users are real. Here are a few reasons for using email address verification in order to clean your list.
We are now thrilled to offer our hallmark Whois data in the form of a new app which will be available in Spunk Enterprise’s Splunkbase. Now without leaving the Splunk environment security teams can directly access Whois XML API’s largest Whois database for proactive threat hunting and cyber crime investigations.
The standard of WHOIS is important to the health industry, especially when it is incorporated into a multi-faceted threat intelligence program. Before we get to that, it is clear in this day and age that many information technology organizations recognize that threat intelligence is a valuable tool, which is, in fact, essential to a strong security posture. However, throughout many industries one of the main issues out there is that the sheer volume of threat data combined with a gap in staff expertise stand to reduce the potential effectiveness of threat intelligence programs. Despite these challenges, threat intelligence programs that include sharing are a critical tool for healthcare organizations, especially with the current state of cybersecurity and the variety of threats of today. Everyone is trying to incorporate this, and here is how WHOIS can be a big part of that.
Whois API, LLC is constantly on a quest to provide accurate & reliable information about domain activities on the web. Our solid foundation, constant innovations & unparalleled databases of Domain, Whois, DNS, IP, OSINT and Threat Intelligence helps professionals from across industries to get the Intel they need. But with over a billion websites, the internet is already quite massive and is constantly growing. With the plethora of websites & their various data-sets, analyzing them can be cumbersome & time-consuming especially in cases of filtering online traffic or finding potentially dangerous websites. In such cases sometimes just knowing ‘what the website is about?’ or ‘the website category’ can help you decide your further course of action.
The scientific study of statistical models and algorithms used by computer systems to perform specific tasks without human involvement and explicit instructions, machine learning (ML) uses inference and patterns to be able to work on its own.
Different from traditional computation, ML allows the computer to perform a more advanced analysis of data without a human supervising. Human operators provide the computer with initial data, instructing their analytical software to detect specific information or provide answers to vaguely formulated questions.
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