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Einführung in Security Analytics Methoden
This presentation introduces security analytics methods, emphasizing the capabilities and features of Splunk Security Essentials (SSE) for detecting suspicious activities. It outlines key components such as analytics methods, alert creation, and the importance of operationalizing security insights for both novice and advanced users. The session highlights the significance of customization in detection use cases and the potential integration with Splunk's enterprise security solutions.
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Einführung in Security Analytics Methoden
- 1. © 2019 SPLUNKINC.© 2019 SPLUNK INC. Intro to Security Analytics Methods München, 26.03.2019 Joachim Gebauer | Staff Sales Engineer, CISM, CISSP | Splunk
- 2. © 2019 SPLUNKINC. During the course of this presentation, we may make forward-looking statements regarding future events or the expected performance of the company. We caution you that such statements reflect our current expectations and estimates based on factors currently known to us and that actual events or results could differ materially. For important factors that may cause actual results to differ from those contained in our forward-looking statements, please review our filings with the SEC. The forward-looking statements made in this presentation are being made as of the time and date of its live presentation. If reviewed after its live presentation, this presentation may not contain current or accurate information. We do not assume any obligation to update any forward-looking statements we may make. In addition, any information about our roadmap outlines our general product direction and is subject to change at any time without notice. It is for informational purposes only and shall not be incorporated into any contract or other commitment. Splunk undertakes no obligation either to develop the features or functionality described or to include any such feature or functionality in a future release. Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2019 Splunk Inc. All rights reserved. Forward-Looking Statements
- 3. © 2019 SPLUNKINC. Personal Introduction Joachim Gebauer Staff Sales Engineer | CISM | CISSP Security SME
- 4. © 2019 SPLUNKINC. ► Maybe a user of Splunk Security Essentials? ► All Levels of Splunk Experience ► You probably like security Who are you? Technical Business New to Splunk Years of Splunk YOU
- 5. © 2019 SPLUNKINC. Key Takeaways from This Session Improved ability to detect potentially suspicious activity Free, powerful out- of-the-box security analytics methods
- 6. © 2019 SPLUNKINC. 1. Security Analytics 101 2. Splunk Security Essentials (SSE) Overview 3. SSE Demo/Walk Through 4. End-to-End Scenario 5. Wrap Up Agenda
- 7. © 2019 SPLUNKINC. Splunk Security Pillars and Portfolio DATA ANALYTICS OPERATIONS • Universal indexing • Petabyte scale • Multi-schema • Search, alert, report, visualize • Broad support Machine Learning Toolkit (MLTK) ES CONTENT UPDATE ADAPTIVE RESPONSE ADAPTIVE OPERATIONS FRAMEWORK
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- 9. First Time Seen poweredby stats Time Series Analysis with Standard Deviation General Security Analytics Searches Analytics Methods Types of Use Cases
- 10. General Security Analytics Searches FirstTime Seen powered by stats Analytics Methods Types of Use Cases Time Series Analysis with Standard Deviation
- 11. Analytics Methods Types ofUse Cases First Time Seen powered by stats Time Series Analysis with Standard Deviation General Security Analytics Searches
- 12. Implementation Approach forSecurity Analytics Alert Aggregation AlertCreation Investigation Investigative Platform • Analyst flexibility • Provide access to data analysis solutions • Record historical context for everything Simpler Detection • Rules and statistics • Quick development • Easy for analysts ML Based Detection • Detect unknown • New vectors • Heavy data science Threat Detection • Manage high volume • Track entity relationships • Combination ML + Rules
- 13. Implementation Approach forSecurity Analytics Alert Aggregation AlertCreation Investigation Investigative Platform • Analyst flexibility • Provide access to data analysis solutions • Record historical context for everything Simpler Detection • Rules and statistics • Quick development • Easy for analysts ML Based Detection • Detect unknown • New vectors • Heavy data science Threat Detection • Manage high volume • Track entity relationships • Combination ML + Rules
- 14. Implementation Approach forSecurity Analytics Alert Aggregation AlertCreation Investigation Investigative Platform • Analyst flexibility • Provide access to data analysis solutions • Record historical context for everything Simpler Detection • Rules and statistics • Quick development • Easy for analysts ML Based Detection • Detect unknown • New vectors • Heavy data science Threat Detection • Manage high volume • Track entity relationships • Combination ML + Rules
- 15. © 2019 SPLUNKINC. Splunk Security Essentials Overview
- 16. Identify bad guys: •450+ security analytics methods • Free on Splunkbase – use on Splunk Enterprise • Target external and insider threats • Advanced threat detection, compliance, and more • Scales from small to massive companies • Data source onboarding guidance • MITRE ATT&CK and Kill Chain mappings • Save from app, send hits to ES / UBA Splunk Security Essentials https://splunkbase.splunk.com/app/3435/ Solve use cases you can today for free, then use Splunk UBA for advanced ML detection.
- 18. Splunk Security EssentialsApp – Runs on Splunk Enterprise QUICK EASY FREE
- 19. 1 9 Security Journey –Data-Driven Approach
- 20. • AWS CloudTrail+ VPC Flow • Cisco ASA • Linux Security Logs • Microsoft Sysmon • Microsoft Office 365 • Palo Alto Networks • Stream DNS • Symantec AV • Windows Security Data Onboarding Guides
- 21. © 2019 SPLUNKINC. SSE Demo
- 22. • Download fromapps.splunk.com • Install on your Search Head, standalone Splunk server, or even a laptop • Browse use cases that match your needs • Data Source Check shows other use cases for your existing data • Evaluate free tools to meet gaps, such as Microsoft Sysmon • (links inside the app) Getting Started with Splunk Security Essentials
- 23. Open the SplunkSecurity Essentials App First Open Splunk Security Essentials Then Open Use Cases
- 24. • For thosejust starting out, it can be hard to know what data you need • Every use case comes with pre-req checks to show if you have the data • If you don’t, follow the links Pre-requisite Checks
- 25. • Data SourceCheck tells you what’s possible • Runs all pre-req checks Or Check EVERYTHING Click “Start Searches”
- 26. Create Posture Dashboards •Run the data source check first • Allow it to complete the check • Then click “Create Posture Dashboards” button
- 27. Posture Dashboards (cont’d) IfYou Don’t Have Live Data Yet, Click “Demo Datasets” Number of Available Visualizations will Update Accordingly
- 28. Posture Dashboards (cont’d) SelectDesired Visualization Category (or Categories) Select Non-Default Searches if Desired Generate Selected Dashboards!
- 29. Posture Dashboards (cont’d) •Essential Account Security • Data sources include General Authentication, Windows 10, and Active Directory • Essential Host Security • Data sources include Windows Endpoint, Anti-virus • Essential Network Security • Data sources include Firewall, Next-Gen Firewall, and Web Proxy
- 30. • Read througha few of the use cases • Filter for use cases you care about Take a Minute to Review Use Cases
- 31. Let’s Start Witha Simple Example Click on “Concentration of Hacker Tools by Filename”
- 32. © 2019 SPLUNKINC. ► A search you might not think of, but is easy to use ► Input: CSV file with suspicious filenames ► Input: Process launch logs (Windows, Sysmon, Carbon Black, etc.) ► Looks for those file names concentrated in a short period of time Concentration of Hacker Tools by Filename
- 33. Applying to LiveData Click Live Data See a Live Search
- 34. • Phishing isa big risk • Many approaches to mitigating with Splunk An Advanced Splunk Search Click on ‘Emails with Lookalike Domains’ From Journey Select Stage 4 From Data Sources, Filter to Email Logs
- 35. © 2019 SPLUNKINC. ► A very long search you don’t have to run ► Detects typos, like company.com → campany.com ► Supports subdomains for typo detection ► Detects suspicious subdomains, like company.com →company.yourithelpdesk.com A Phishing Search Larger Than Your Pond
- 36. © 2019 SPLUNKINC. ► Splunk can also build baselines easily ► Let’s look at a Time Series Spike ► This detects anomalies via Standard Deviation What About Baselines From Data Sources, Filter to Print Server Logs Then, Increase in Pages Printed
- 37. © 2019 SPLUNKINC. ► A measure of the variance for a series of numbers What is Standard Deviation? User Day One Day Two Day Three Day Four Avg Stdev Jane 100 123 79 145 111.75 28.53 Jack 100 342 3 2 111.75 160.23 User Day Five # StDev from Average … aka How Unusual? Jane 500 13.6 Jack 500 2.42 SUPER Anomalous!
- 38. © 2019 SPLUNKINC. ● Our search looks for printer logs ● Sums per day, per user ● Note the tooltips everywhere! Increase in Pages Printed ► Our search looks for printer logs ► Sums per day, per user ► Note the tooltips everywhere! Click “Detect Spikes” to find outliers
- 39. © 2019 SPLUNKINC. ► Just click Show SPL to see how the search works ► Learn this once… it applies to all time series spikes! ► (Or just use the app) Want to Learn That SPL for Yourself?
- 40. © 2019 SPLUNKINC. ► Want to use that search? ► Just click Schedule Alert ► Searches will auto send to ES Risk or UBA if you have either ► Or just email to yourself Want to Schedule That Search?
- 41. © 2019 SPLUNKINC. ► We can use baseline to find new combinations too ► This can help with any noisy search you have today What Else Do You Have For Me? Then, Authentication Against a New Domain Controller
- 42. © 2019 SPLUNKINC. ► This search uses stats earliest() and latest() per User, DC ► If the earliest() is recent, it’s anomalous ► This works for any combination! Authentication Against a New DC Click “Detect New Values” for outliers
- 43. © 2019 SPLUNKINC. Example Scenario
- 44. © 2019 SPLUNKINC. ► Actor: Malicious Insider (because it’s hardest) ► Motivation: Going to work for competitor ► Target: Accounts, Opportunities, Contacts in Salesforce ► Additional Target: Sales Proposals in Box ► Exfiltration: Upload to a remote server Apply Splunk to Real Life Scenario Malicious Insider Jane Smith Director of Finance * Photo of Splunker – not an actual malicious insider
- 45. © 2019 SPLUNKINC. ► No proxy ► No standard file servers ► No agents on laptop ► Cloud Services with their own APIs ► How would you detect that? Monitoring Challenges
- 46. © 2019 SPLUNKINC. ► Collect Relevant Logs • Ingest Salesforce Event Log File • https://splunkbase.splunk.com/app/1931/ • Ingest Box Data • https://splunkbase.splunk.com/app/2679/ ► Install Splunk Security Essentials • https://splunkbase.splunk.com/app/3435/ ► Configure Analytics • e.g., schedule Salesforce.com searches • e.g., build a custom Box use case Set Up About 1 Hour of Work
- 47. © 2019 SPLUNKINC. ► New clients accessing SFDC API ► High-risk activity ► 1st-time peer group query of sensitive data ► New sensitive tables being queried ► Other searches indicating potential exfil Example Salesforce.com Searches
- 48. © 2019 SPLUNKINC. Targeting Our Search ▪ Our Malicious Insider, Jane Smith, also downloaded some proposals from Box ▪ Finding Box downloads spikes is easy, but we want focus on the Proposal Folder ▪ We will use the Detect Spikes assistant to help us
- 49. © 2019 SPLUNKINC. ► Do you want to build your own detections like this? ► What if your environment is totally custom? ► No product has ever worked out of the box, and that’s why you like Splunk, right? ► We’ve got you covered. “My Environment is So Custom” Click Advanced, then “Detect Spikes”
- 50. © 2019 SPLUNKINC. • | inputlookup anonymized_box_logs.csv | search folder="PROPOSALS” | bucket _time span=1d | stats count by user _time • Looking for “count” by “user” with “6” standard deviations
- 51. © 2019 SPLUNKINC. • | inputlookup anonymized_box_logs.csv | search folder="PROPOSALS” | bucket _time span=1d | stats count by user _time • Looking for “count” by “user” with “6” standard deviations Got Her!
- 52. © 2019 SPLUNKINC. ► Save / schedule the alert – send to Splunk Enterprise Security or UBA • Or send via email to analyst Operationalize!
- 53. © 2019 SPLUNKINC. Wrap Up
- 54. © 2019 SPLUNKINC. 1. Splunk Security Essentials teaches you new detection use cases 2. Easy to operationalize – standalone or with Splunk Enterprise Security and UBA 3. Makes it easy to customize use cases 4. As you advance, look to ES or UBA to improve threat detection, and ES and Phantom to accelerate containment, investigation, and response What Did We Cover?
- 55. © 2019 SPLUNKINC. ► Download from apps.splunk.com ► Find use cases that match your needs ► Data Source Check shows other use cases for your existing data ► Evaluate free tools to meet gaps, such as Microsoft Sysmon • (links inside the app) Go Get Started With Splunk Security Essentials!
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- 57. © 2019 SPLUNKINC.© 2019 SPLUNK INC. Thank You. Don’t forget to rate this session in the SplunkLive! mobile app