公开(公告)号：US20220360596A1

公开(公告)日：2022-11-10

申请号：US17321847

申请日：2021-05-17

Applicant: Citrix Systems, Inc.

Inventor： Andreas Varnavas ,  Ananthaneni Sai Teja Chowdary ,  Nikolaos Tsapakis ,  Premkumar SJ ,  Manikam Muthiah

IPC: H04L29/06

Abstract: A system and method that detects malicious account creation in a web-based platform. A method includes detecting suspicious events associated with an account creation process using a username classifier that evaluates a username used to create a new account, an IP address classifier that evaluates an IP address used to create the new account, and a domain classifier that evaluates a domain from an email address used to create the new account; analyzing each detected suspicious event with a density analysis classifier to determine if each detected suspicious event comprises a malicious event based on a density of detected suspicious events from a collections of account creation processes; and determining an alert condition based on at least one malicious event detection.

公开(公告)号：US20230114298A1

公开(公告)日：2023-04-13

申请号：US17497294

申请日：2021-10-08

Applicant: Citrix Systems, Inc.

Inventor： Ankur Gupta ,  Venkata Surya Narayana raju Datla ,  Anjana P Pai ,  Premkumar SJ ,  Manikam Muthiah

IPC: H04L29/06 ,  H04L29/08

Abstract: Described embodiments provide systems and methods for identifying malicious attempts to detect vulnerabilities in an application. At least one processor may determine a mean and a standard variation of character counts of each of a plurality of characters from a plurality of sets of data. The at least one processor may determine a distance metric for each of the characters in each of the sets of data. For a corresponding set of data, the at least one processor may determine a number of outliers to determine whether the corresponding set of data is anomalous.