From charlesreid1

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=Initial Notes=
Intrusion detection system.
Intrusion detection system.


https://github.com/bro
* https://github.com/bro


https://github.com/LiamRandall/bro-training
* https://github.com/LiamRandall/bro-training


Bro training has pcaps with sample things like malware hiding shells in HTTP traffic.
Bro training has pcaps with samples of things like malware hiding shells in HTTP traffic. For example, this folder has some pcaps containing traffic from a yayih trojan:
* https://github.com/LiamRandall/bro-training/tree/master/malware-demo/mswab_yayih


For example, this folder has some pcaps containing traffic from a yayih trojan:
More info:
 
* https://www.microsoft.com/security/portal/threat/encyclopedia/entry.aspx?Name=Trojan%3AWin32%2FYayih.A
https://github.com/LiamRandall/bro-training/tree/master/malware-demo/mswab_yayih


More info:
Hat tip:
* http://wiki.securityweekly.com/wiki/index.php/Episode336


https://www.microsoft.com/security/portal/threat/encyclopedia/entry.aspx?Name=Trojan%3AWin32%2FYayih.A
=Returning Notes=


Hat tip: http://wiki.securityweekly.com/wiki/index.php/Episode336
Returning to this: how do you utilize outlier detection, unsupervised learning, and classification to improve networking benchmarks and differentiation of traffic? (Or maybe that's what bro actually does in the first place.)

Revision as of 03:40, 14 March 2017

Initial Notes

Intrusion detection system.

Bro training has pcaps with samples of things like malware hiding shells in HTTP traffic. For example, this folder has some pcaps containing traffic from a yayih trojan:

More info:

Hat tip:

Returning Notes

Returning to this: how do you utilize outlier detection, unsupervised learning, and classification to improve networking benchmarks and differentiation of traffic? (Or maybe that's what bro actually does in the first place.)