DNS data prediction algorithms detect malware sites

Η her safety ς OpenDNS αναπτύσσει μια νέα μέθοδο που θα βοηθήσει στην αυτόματη malware using an original tool called NLPRank, as reported by a company blog post.OpenDNS Security Labs vs malware

“Using natural language processing (NLP), the predictive model detects potentially malicious typos and targeted phishing . Κακόβουλες ομάδες χρησιμοποιούν συχνά τεχνικές spear-phishing και πλαστογράφηση νόμιμων domains σαν μια τεχνική ασάφειας για τη διεξαγωγή των εγκληματικών τους ενεργειών με στόχο την διανομή malware

The NLPRank tool is designed to detect these malware-sharing domains that often act as C2 domains for targeted attacks. Our system uses heuristics, such as NLP and ASN mappings. Weighting, and matching with WHOIS data, as well as analysis of HTML tags to characterize these attacker domains. "

Natural language processing techniques are common in bioinformatics and data mining. OpenDNS Security Labs states that “so far they have shown that this technique offers a new way of categorizing websites used by (APT) and cyber espionage, as well as a mechanism to discover links between hacker groups.

Let us mention that NLP (natural language processing) is a field of computer science that focuses on the interaction between computer and human language. There is nothing to do with neuro-linguistic programming, a term that often also uses the NLP shortcut.

You can see more information about the new technique on its official website OpenDNS Security Labs.

iGuRu.gr The Best Technology Site in Greecefgns

every publication, directly to your inbox

Join the 2.087 registrants.

Written by Dimitris

Dimitris hates on Mondays .....

Leave a reply

Your email address is not published. Required fields are mentioned with *

Your message will not be published if:
1. Contains insulting, defamatory, racist, offensive or inappropriate comments.
2. Causes harm to minors.
3. It interferes with the privacy and individual and social rights of other users.
4. Advertises products or services or websites.
5. Contains personal information (address, phone, etc.).