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Message platform for automated threat simulation, reporting, detection, and remediation

專利號
US11997115B1
公開日期
2024-05-28
申請人
Cofense Inc.（US VA Leesburg）
發(fā)明人
Aaron Higbee; David Chamberlain; Vineetha Philip
IPC分類
H04L9/40; G06F16/35; G06F21/00; G06F21/55; H04L51/212; H04L51/08
技術(shù)領(lǐng)域
message,phishing,email,messages,be,or,emails,in,user,cluster
地域： VA VA Leesburg

摘要

Methods, network devices, and machine-readable media for an integrated environment and platform for automated processing of reports of suspicious messages, and further including automated threat simulation, reporting, detection, and remediation, including rapid quarantine and restore functions.

說明書

For exemplary purposes, the clustering module 900 shown in FIG. 21 may indicate that message 1 911 should be assigned to cluster 2 960, as the average distance between message 1 911 and all messages assigned to cluster 2 960 is below some threshold. Further, message 1 911 may not be assigned to cluster 1 950, as the average distance to all messages assigned to cluster 1 950 may be above some threshold.

If one of the messages 910 is not sufficiently close to any of the clusters, the clustering module 900 may create a new cluster 970 and assign that message to the new cluster 970. For example, message 4 914 may match a multiple of rules which are not in common with any of the other clusters. The cluster module 900 may then indicate that message 4 914 should be classified under a new cluster 970 and assign message 4 914 to that cluster.

Clustering can be based on the domains of links in an email body, or attachment content, or attachment hashes. Other clustering techniques contemplated include k-means, deep learning (such as a convolutional neural network), or through various other machine learning techniques, such as natural language processing.

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