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<blockquote data-quote="Adrian Ścibor" data-source="post: 906558" data-attributes="member: 71496"><p>Good point of view. However any methods could be possible to implement? For example we can include Yara to scan every of downloaded samples, next exclude the same malware family. Then we have a conflict between knows samples or fresh samples - each of them will be excluded, e.g. Emotet malicious files (docx, xlx, rtf...). Right now I do not know how we could limit the same malware family.</p><p></p><p>Besides, in fact all SHAs of malware SHAs are unique, even so we have 50-100 Emotet samples. You can check by veryfy the table: <a href="https://checklab.pl/en/recent-results" target="_blank">Recent results</a></p><p></p><p>Any sample that has been tested once will never be tested again, because we check the database to see if it ever existed.</p></blockquote><p></p>
[QUOTE="Adrian Ścibor, post: 906558, member: 71496"] Good point of view. However any methods could be possible to implement? For example we can include Yara to scan every of downloaded samples, next exclude the same malware family. Then we have a conflict between knows samples or fresh samples - each of them will be excluded, e.g. Emotet malicious files (docx, xlx, rtf...). Right now I do not know how we could limit the same malware family. Besides, in fact all SHAs of malware SHAs are unique, even so we have 50-100 Emotet samples. You can check by veryfy the table: [URL="https://checklab.pl/en/recent-results"]Recent results[/URL] Any sample that has been tested once will never be tested again, because we check the database to see if it ever existed. [/QUOTE]
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