US 12,267,341 B2
Dynamic analysis for detecting harmful content
Aleksandr Sevcenko, Vilnius (LT); and Mantas Briliauskas, Vilnius (LT)
Assigned to UAB 360 IT, Vilnius (LT)
Filed by UAB 360 IT, Vilnius (LT)
Filed on Nov. 7, 2023, as Appl. No. 18/503,337.
Application 18/503,337 is a continuation of application No. 17/881,351, filed on Aug. 4, 2022, granted, now 11,848,944.
Application 17/881,351 is a continuation of application No. 17/878,030, filed on Jul. 31, 2022, granted, now 11,785,028, issued on Oct. 10, 2023.
Prior Publication US 2024/0080326 A1, Mar. 7, 2024
Int. Cl. H04L 9/40 (2022.01)
CPC H04L 63/1416 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method, comprising:
analyzing, by an infrastructure device, affected data known to include harmful content, and clean data known to be free of the harmful content;
determining, by an infrastructure device based at least in part on analyzing the affected data and the clean data, harmful traits that appear in the affected data with a frequency that satisfies a threshold frequency, and clean traits that appear in the clean data with the frequency that satisfies the threshold frequency;
mixing, by the infrastructure device, the harmful traits and the clean traits to determine a mixed set of harmful traits and clean traits;
analyzing, by the infrastructure device, the affected data based at least in part on utilizing the mixed set of harmful traits and clean traits to determine a harmful pattern that indicates characteristics associated with the harmful traits and the clean traits; and
transmitting, by the infrastructure device to a user device, pattern information indicating the harmful pattern to enable the user device to determine whether given data includes the harmful content.