Splunk Live in RTP - March-2014-Jeff-Bollinger-Cisco

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Information about Splunk Live in RTP - March-2014-Jeff-Bollinger-Cisco
Technology

Published on March 14, 2014

Author: JeffBollinger1

Source: slideshare.net

Description

How Cisco Infosec uses Splunk to develop and execute their Incident Response playbook strategy.

Copyright © 2014 Splunk Inc. Splunk the SIEM Jeff Bollinger 0x506682C5 Technical Leader and Infosec Investigator: CSIRT Cisco Systems, Inc. https://blogs.cisco.com/author/jeffbollinger/ https://twitter.com/jeffbollinger

About Me... – Cisco Computer Security Incident Response Team (CSIRT) – CSIRT = Security Monitoring and Incident Response – Architecture, Engineering, Research, and Investigations – Enterprise global threat and 24x7 incident response

The Numb3rs Cisco Systems Inc.: –100 countries –130,000 employees (with laptops and phones) –150,000 servers of all types –40,000 routers –1,500 labs –1 CSIRT analyst for every 7,000 employees

The Numb3rs Cisco indexes almost 1Tb of log data per day

Incident Response Basics •What am I trying to protect? •What are the threats? •> How do I detect them? •How do we respond?

How Do I Detect?

Out With The Old • You don’t know what you don’t know • Buy and trust a SIEM to run canned reports • Wait for updates from the vendor • Try to edit/create custom reports • Build your own collection infrastructure • Data-centric approach • Build your own reports • Research your own intelligence • Operationalize and optimize! The Old Way The New Way

playbook | plā bŏk|ˈ ˌ (noun) A prescriptive collection of repeatable queries (reports) against security event data sources that lead to incident detection and response. Analyze: SIEM

A Note on Strategy Hunting vs. Gathering

Hunting: Build a Query – Find Bad Stuff • Start with the obvious and simple: index=wsa earliest=-24h x_wbrs_score=ns English translation: Splunk, look at our web proxy logs over the past 24 hours, and give me all the web sites (objects) that had no known reputation score.

Hunting: Build a Query – Find Bad Stuff index=wsa earliest=-24h x_wbrs_score=ns Let me stop you right there…

Hunting: Build a Query – Find Bad Stuff • Filter based on unique attributes: index=wsa earliest=-24h x_wbrs_score=ns |where isnull(cs_referer) English translation: Splunk, look at our web proxy logs over the past 24 hours, and give me all the web sites (objects) that had no known reputation score, and there was no HTTP referrer.

Hunting: Build a Query – Find Bad Stuff index=wsa earliest=-24h x_wbrs_score=ns | where isnull(cs_referer) Ok getting better, sort of…

Hunting: Build a Query – Find Bad Stuff • Filter, refine, filter, refine: index=wsa earliest=-24h application/x-dosexec ns GET 200 x_wbrs_score=ns cs_method=GET sc_http_status=200 cs_mime_type=application/x-dosexec (java OR MSIE) NOT (mirror OR cdn) | where isnull(cs_referer) English translation: Splunk, query our web proxy logs over the past 24 hours, and give me all the web sites (objects) that had no known reputation score, and there was no HTTP referrer, where either Java or Internet Explorer successfully downloaded an executable file from a site that didn’t have ‘mirror’ or ‘CDN’ in the URL.

Hunting: Build a Query – Find Bad Stuff Here we go! index=wsa earliest=-24h application/x-dosexec ns GET 200 x_wbrs_score=ns cs_method=GET sc_http_status=200 cs_mime_type=application/x-dosexec (java OR MSIE) NOT (mirror OR cdn) | where isnull(cs_referer)

Gathering: Build a Query – Find Bad Stuff If you can find or create a re-usable pattern, you can save a search, make a report, and automate! 16

Gathering: Build a Query – Find Bad Stuff For example: this query will detect the Tracur clickfraud trojan: index=wsa earliest=-6h@h m cs_url="*/m/*” MSIE (NOT (cs_referer="*")) | regex cs_url="^http://(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?). (25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?).(25[0-5]|2[0-4][0-9]|[01]?[0- 9][0-9]?).(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)/m/[A-Za-z0-9/+] {50,1000}$" http://www.microsoft.com/security/portal/threat/encyclopedia/entry.aspx?Name=Trojan%3aWin32%2fTracur

Do It Yourself Once you have: • Solid, repeatable, saved searches • Research and intelligence gathering • Consistent handling procedures • Documentation and tuning You have your own SIEM, running in Splunk, and completely custom to your organization.

Thank you

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