Cloud

2/22/2018
05:15 PM
Dark Reading
Dark Reading
Products and Releases
50%
50%

DomainTools Launches Predictive Domain Risk Scoring Model

Domain Risk Score is intended to identify dangerous domains and enables proactive network defense

SEATTLE, Feb. 21, 2018 -- DomainTools®, the leader in domain name and DNS-based cyber threat intelligence, today announced its Domain Risk Score, a new method of predicting the level of danger or risk associated with internet domains. Providing unparalleled accuracy and breadth over newly registered domains, this model is the first to enable proactive evaluation and risk scoring of a domain based purely on the domain's intrinsic characteristics. Leveraging machine learning and predictive insights, DomainTools' Risk Score identifies factors inherent in high-risk domains from their inception, even if they have not been previously observed in malicious activity. It also predicts which type of threat the domain is most likely to represent, whether phishing, malware, or spam.

While the case for identifying and blocking dangerous domains is universally understood, a recent report from Enterprise Management Associates revealed that 79 percent of security teams are overwhelmed by the volume of alerts triggered on their network. This illustrates the need for accurate, automated identification of dangerous infrastructure. Risk Score was developed to increase efficiency among these resource-strapped security teams, many of which are looking for ways to reduce the number of false-positive notifications they receive. Machine learning and predictive analysis can intelligently automate and streamline certain security functions, and are inherently optimal for enabling risk scoring.

DomainTools has scored all of the more than 310 million currently-registered domains and continues to score tens of thousands of newly registered domains every day. Using the most complete current and historical records in the industry, DomainTools data scientists developed machine learning classifiers to identify domains that have a likelihood of being used for phishing, malware, or spam. The "F Score" data (a means of evaluating detection and false positive rates) for multiple test runs confirm that the classifiers render the correct verdicts over 99 percent of the time. Risk Score can be leveraged to:

  • Surface domains that pose a significant risk to a specific organization or environment;
  • Compare high-risk domains to others in the DomainTools database to identify related sites that may also pose a risk;
  • Search for domains with high-risk scores in archived logs to determine if an attacker has gained entry into the network;
  • Establish DomainTools monitors for alerts on future domains that are registered to the same threat actor or campaign as other known blacklisted sites.

"Our goal is to help security professionals detect, investigate, and prevent malicious activity online. Domain Risk Score further enables us to deliver on that commitment," said Tim Chen, CEO, DomainTools. "Applying the expertise of our data science team to DomainTools' detailed data sets on nearly every active domain on the internet has delivered a unique predictive model that truly helps security teams stay ahead of emerging threat infrastructure."

Domain Risk Score can be utilized by a variety of security professionals, from network defenders who block the domains that are part of phishing, malware, or spam campaigns, to incident responders and threat hunters who determine the level and type of risk associated with various domains. With Risk Score, these teams can streamline their processes from the outset, starting with a point of relevance based on domains observed touching their network. This reduces false positives and allows security teams to focus their efforts.

Domain Risk Score is available as an optional add-on to DomainTools Iris, an enterprise-grade threat investigation platform, and the scores are also available as API queries. Learn more about Iris and how DomainTools is turning threat data into threat intelligence, or to request a demo of Domain Risk Score.

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
12 Free, Ready-to-Use Security Tools
Steve Zurier, Freelance Writer,  10/12/2018
Most IT Security Pros Want to Change Jobs
Dark Reading Staff 10/12/2018
6 Security Trends for 2018/2019
Curtis Franklin Jr., Senior Editor at Dark Reading,  10/15/2018
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Current Issue
Flash Poll
The Risk Management Struggle
The Risk Management Struggle
The majority of organizations are struggling to implement a risk-based approach to security even though risk reduction has become the primary metric for measuring the effectiveness of enterprise security strategies. Read the report and get more details today!
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2018-10839
PUBLISHED: 2018-10-16
Qemu emulator <= 3.0.0 built with the NE2000 NIC emulation support is vulnerable to an integer overflow, which could lead to buffer overflow issue. It could occur when receiving packets over the network. A user inside guest could use this flaw to crash the Qemu process resulting in DoS.
CVE-2018-13399
PUBLISHED: 2018-10-16
The Microsoft Windows Installer for Atlassian Fisheye and Crucible before version 4.6.1 allows local attackers to escalate privileges because of weak permissions on the installation directory.
CVE-2018-18381
PUBLISHED: 2018-10-16
Z-BlogPHP 1.5.2.1935 (Zero) has a stored XSS Vulnerability in zb_system/function/c_system_admin.php via the Content-Type header during the uploading of image attachments.
CVE-2018-18382
PUBLISHED: 2018-10-16
Advanced HRM 1.6 allows Remote Code Execution via PHP code in a .php file to the user/update-user-avatar URI, which can be accessed through an "Update Profile" "Change Picture" (aka user/edit-profile) action.
CVE-2018-18374
PUBLISHED: 2018-10-16
XSS exists in the MetInfo 6.1.2 admin/index.php page via the anyid parameter.