Infoblox. has been granted a patent for a system that detects visual similarity between DNS fully qualified domain names (FQDNs). The technology utilizes extended sequence alignment to identify potential malware FQDNs and classify them as either benign or malicious, enabling targeted mitigation actions. GlobalData’s report on Infoblox gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Infoblox, Network traffic analysis was a key innovation area identified from patents. Infoblox's grant share as of June 2024 was 79%. Grant share is based on the ratio of number of grants to total number of patents.
Detecting visual similarity in dns domain names for malware
The granted patent US12041076B2 outlines a system and method for identifying and mitigating potential malware threats associated with fully qualified domain names (FQDNs) within a DNS data stream. The system comprises a processor and memory that work together to receive a DNS data stream containing both DNS queries and responses. It employs extended sequence alignment techniques to analyze the FQDNs, identifying potential malware by comparing visual similarities between candidate and target FQDNs. The process involves constructing cost and dynamic tables to determine the minimal cost operations needed to transform target FQDNs into candidate FQDNs, ultimately classifying them as either malware or benign.
Once potential malware FQDNs are identified, the system can perform various mitigation actions, such as blocking DNS responses, adding malicious IP addresses to blacklists, or generating firewall rules. The patent also describes the capability to recognize specific types of malware FQDNs, including homographic and combosquatting lookalikes. Additionally, the system can generate detailed reports that provide explanations for each identified malware FQDN, enhancing the understanding of the threats detected. This innovative approach aims to improve network security by proactively addressing potential malware threats in real-time.
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