From charlesreid1

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


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:
Bro training has pcaps with samples of things like malware hiding shells in HTTP traffic. For example:
* https://github.com/LiamRandall/bro-training/tree/master/malware-demo/mswab_yayih
* This folder has some pcaps containing traffic from a yayih trojan: https://github.com/LiamRandall/bro-training/tree/master/malware-demo/mswab_yayih
 
* Here is a page that explains what the hell the yayih trojan is: https://www.microsoft.com/security/portal/threat/encyclopedia/entry.aspx?Name=Trojan%3AWin32%2FYayih.A
More info:
* https://www.microsoft.com/security/portal/threat/encyclopedia/entry.aspx?Name=Trojan%3AWin32%2FYayih.A


Hat tip:
Hat tip:

Revision as of 03:41, 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:

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.)