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<blockquote data-quote="Andy Ful" data-source="post: 823410" data-attributes="member: 32260"><p>You probably do not understand my post, and I am afraid that I do not understand yours.</p><p>We probably use different definitions of Behavior Blocker.</p><p>The classic Behavior Blocker is a separate module that can block processes which are defined as suspicious, like the below from the old Symantec article:</p><ol> <li data-xf-list-type="ol">Attempts to open, view, delete, and/or modify files;</li> <li data-xf-list-type="ol">Attempts to format disk drives and other unrecoverable disk operations;</li> <li data-xf-list-type="ol">Modifications to the logic of executable files, scripts of macros;</li> <li data-xf-list-type="ol">Modification of critical system settings, such as start-up settings;</li> <li data-xf-list-type="ol">Scripting of e-mail and instant messaging clients to send executable content; and,</li> <li data-xf-list-type="ol">Initiation of network communications.</li> </ol><p>Such Behavior Blocker can suspend the program activity and alerts about suspicious behavior. Because of many false positives, it can be supported by cloud verification to get a clear indication that a program is safe or malicious.</p><p><strong>It is an outdated technology, because it is separated from other AV modules and the user often has to make decisions to allow/block the suspicious behaviors. </strong>That is why most AVs today do not use such Behavior Blockers. Modern AV technology relies on machine learning behavior models which can integrate information from many AV modules in the process of learning.</p><p>For example, Eset uses DNA Detections, Kaspersky uses heuristic-based Behavior Engine.</p><p>Here is a fragment from the Kaspersky article, which can show the difference:</p><p>"<em>Behavioral Engine component benefits from <a href="https://www.kaspersky.com/enterprise-security/wiki-section/products/machine-learning-in-cybersecurity" target="_blank">ML-based models</a> on the endpoint to detect previously unknown malicious patterns in addition to behaviour heuristic records. Collected from different sources, system events are delivered to the ML model. After processing, ML model produces a verdict if the analysed pattern is malicious. Even in the case of a non malicious verdict, the result from the ML model is then used by Behaviour heuristics, which in turn could also flag the detect.</em>"</p><p>[URL unfurl="true"]https://cdn1-prodint.esetstatic.com/ESET/US/docs/about/ESET-Technology-Whitepaper.pdf[/URL]</p><p>[URL unfurl="true"]https://www.kaspersky.com/enterprise-security/wiki-section/products/behavior-based-protection[/URL]</p><p></p><p>Of course one could name this Behavior-Blocker too, but AV vendors avoid such description.</p></blockquote><p></p>
[QUOTE="Andy Ful, post: 823410, member: 32260"] You probably do not understand my post, and I am afraid that I do not understand yours. We probably use different definitions of Behavior Blocker. The classic Behavior Blocker is a separate module that can block processes which are defined as suspicious, like the below from the old Symantec article: [LIST=1] [*]Attempts to open, view, delete, and/or modify files; [*]Attempts to format disk drives and other unrecoverable disk operations; [*]Modifications to the logic of executable files, scripts of macros; [*]Modification of critical system settings, such as start-up settings; [*]Scripting of e-mail and instant messaging clients to send executable content; and, [*]Initiation of network communications. [/LIST] Such Behavior Blocker can suspend the program activity and alerts about suspicious behavior. Because of many false positives, it can be supported by cloud verification to get a clear indication that a program is safe or malicious. [B]It is an outdated technology, because it is separated from other AV modules and the user often has to make decisions to allow/block the suspicious behaviors. [/B]That is why most AVs today do not use such Behavior Blockers. Modern AV technology relies on machine learning behavior models which can integrate information from many AV modules in the process of learning. For example, Eset uses DNA Detections, Kaspersky uses heuristic-based Behavior Engine. Here is a fragment from the Kaspersky article, which can show the difference: "[I]Behavioral Engine component benefits from [URL='https://www.kaspersky.com/enterprise-security/wiki-section/products/machine-learning-in-cybersecurity']ML-based models[/URL] on the endpoint to detect previously unknown malicious patterns in addition to behaviour heuristic records. Collected from different sources, system events are delivered to the ML model. After processing, ML model produces a verdict if the analysed pattern is malicious. Even in the case of a non malicious verdict, the result from the ML model is then used by Behaviour heuristics, which in turn could also flag the detect.[/I]" [URL unfurl="true"]https://cdn1-prodint.esetstatic.com/ESET/US/docs/about/ESET-Technology-Whitepaper.pdf[/URL] [URL unfurl="true"]https://www.kaspersky.com/enterprise-security/wiki-section/products/behavior-based-protection[/URL] Of course one could name this Behavior-Blocker too, but AV vendors avoid such description. [/QUOTE]
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