The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 29, 2025

Filed:

Oct. 31, 2022
Applicant:

Splunk, Inc., San Francisco, CA (US);

Inventors:

Abhinav Mishra, San Francisco, CA (US);

Kumar Sharad, Dresden, DE;

Namratha Sreekanta, Fremont, CA (US);

Philipp Drieger, Munich, DE;

Glory Emmanuel Avina, Brentwood, CA (US);

Assignee:

Cisco Technology, Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1483 (2013.01); H04L 63/1425 (2013.01);
Abstract

A computer-implemented method for detecting malicious content is disclosed that includes operations of: receiving a character set as an input, converting the input into an integer array containing indexes of each character, and creating an input vector from the integer array, the input vector being a dense numerical representation of the character set. The input vector is passed to a machine learning model to generate a plurality of features based on the character set, the plurality of features comprising at least two of: a length of the character set, a Shannon Entropy of the character set, n-gram similarity score of the character set with English dictionary words, n-gram similarity score of the character set with a set of legitimate domains, and an online web traffic ranking service. A dense input vector is formed by concatenating the plurality of features to the input vector, and then processed to obtain a comparison score.


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