Blue team reboot - HackFest
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The document outlines a webinar on threat intelligence and data logging for cybersecurity, emphasizing the importance of visibility, context, and proactive measures in detecting and responding to cyber threats. It covers various topics including indicators of compromise (IOCs), the cyber kill chain framework, and tools for logging and alerting. The presentation aims to equip cybersecurity professionals with knowledge and strategies to effectively identify and mitigate potential attacks.
Blue team reboot - HackFest
- 2. ● Security Consultant - Researcher ● Twitter: @haydnjohnson ● Talks: BsidesTO, Circle City Con, BsidesLV, SecTor ● Offsec, Purple Team, Gym?? ● Big 4 experience ● http://www.slideshare.net/HaydnJohnson Haydn Johnson
- 3. Cheryl Biswas ● Security researcher/analyst Threat Intel ● APTs, Mainframes, ICS SCADA, Shadow IT, StarTrek ● BSidesLV, Circle City, BSidesT0, SecTor, Hackfest, TiaraCon ● https://whitehatcheryl.wordpress.com ● Twitter: @3ncr1pt3d
- 4. DISCLAIMER: The views represented here are solely our own and not those of our employers, past or present, or future.
- 6. Props to DarkReading This started with a webinar for DarkReading on Threat Intel and how to use it effectively. We received some great feedback, a lot of interest, and built upon it for HackFest. Our Webinar: https://webinar.darkreading.com/2492?keycode=SBX &cid=smartbox_techweb_upcoming_webinars_8.500 000620
- 7. What We Will Cover All. That. DATA Logging towards Alerts Threat Intel Visibility Context Pinpointing an Attack Kill Chains & OODA Loops
- 8. Terminology IOC - Indicator of Compromise - Domain, IP address, URL IOA - Indicator of Attack COA - Course of Action - What can we do to prevent, mitigate, detect, EG - Implement a block on an email address TTP - Tactics, Techniques, and Procedures
- 9. Your Take-Away Lootbag What it is Relevance Example cases Tools & software applicable
- 10. LOGGING
- 11. LOGS: First Line of Defence
- 14. Web Application Logs Knock Knock Who was there? The first place to detect scanners recon data scraping
- 15. Firewall Logs Ingress | Egress Websites | Email | FTP End Point
- 16. Host Logs Whitelisting applications - KNOWN GOOD Execution of Macros Terminal Commands executed Time of logins Average use
- 17. Network Logs Internal traffic Domain connections Internal Scanning https://www.sans.org/reading-room/whitepapers/logging/importance- logging-traffic-monitoring-information-security-1379 2003
- 19. Big Data A Little Talk About ...
- 21. Create A Baseline Have a starting place Known traffic Known good Regular review Know Your Normal
- 22. Just Say NO!!! Macros: Disable Adobe Anything: I can’t even PowerShell: Are you worthy? Admin for all - ORLY?
- 24. Deny on open Macros!
- 26. Wait! Who’s the all-powerful admin here?
- 27. Tools / Software Carbon Black / Bit9 SysMon Log-MD WireShark https://www.wireshark.org/ https://msdn.microsoft.com/en-us/library/windows/desktop/dd408124(v=vs.85).aspx http://www.darkoperator.com/blog/2014/8/8/sysinternals-sysmon http://log-md.com/ http://brakeingsecurity.blogspot.ca/2015/10/2015-042-logmd-more-malware-archaeology.html
- 28. Logs to Alerts!
- 31. Bad Alerts
- 32. Help! Too Many!
- 33. Good Alerts
- 34. Timely
- 35. Relevant
- 36. Context
- 37. Actionable
- 38. Good Alerts Give enough information to correlate Understand all you can from the one log Actionable Standard procedures for each for IR team Time is NOT on your side
- 39. Example Time Workstation 2 Workstation
- 40. A: Lateral Movement @raffertylaura | @haydnjohnson https://www.youtube.com/watch?v=KO68mbk9- OU&list=PL02T0JOKYEq52plvmxiJ1cSbwUgHHvP7H&index=8
- 42. Runs PowerShell
- 43. Connects to Web Server
- 44. Threat Intel
- 45. Threat Intel: What it Ain’t Threat actor information Campaigns Indicators of Compromise (IOCs) Identify known threats Exploitation in the wild
- 46. Threat intel: What it is A product from collection, processing, exploitation, analysis dissemination and feedback of information.
- 47. Reducing False Positives IOC Validation Alert Tuning from IOCs https://quadrantsec.com/about/blog/the_false_positives_of_threat_intelligence/
- 48. Threat Reports Is it relevant to business? Could it have an impact? Are there IOCs? COA for prevention, detection, mitigation KEY CRITERIA
- 49. Threat Report - Example Landing Page Downloader URL C2 traffic
- 50. Threat Report - Example 2 http://blog.trendmicro.com/trendlabs-security-intelligence/blackgear-espionage-campaign- evolves-adds-japan-target-list/
- 51. Threat Report - Example 2 C2 via blogs Hard coded tags http://blog.trendmicro.com/trendlabs-security-intelligence/blackgear-espionage-campaign- evolves-adds-japan-target-list/
- 52. Threat Report - Example 2 Downloader C2
- 53. Threat Report - Example 2 http://blog.trendmicro.com/trendlabs-security-intelligence/blackgear-espionage-campaign- evolves-adds-japan-target-list/
- 54. Threat Report - Example 2
- 55. Threat Report - Example 2 IOCs - MD5 Not strong but can put in place fast!
- 56. THREAT CORRELATION Combining Data and Threat intel
- 58. Visibility Take a big picture view Know what’s going on from end to end Cuz you don’t know what you don’t know
- 59. Context Look for the patterns
- 60. So you can find the anomalies
- 61. How to Play With Data Not what you got but how you use it Ask the right questions - get the right answers What have we been missing?
- 62. Security Analytics - Example The Game Changers Machine Learning Analytics IAM
- 63. BIG DATA - TOOLS OpenSoc - Cisco RITA - Real Intelligence Threat Analysis BreakoutDetection R package - Twitter http://opensoc.github.io/ RITA - http://www.blackhillsinfosec.com/?page_id=4417 https://github.com/twitter/BreakoutDetection
- 64. Pinpointing an Attack Identification of malicious-ness
- 65. Detecting an attack - Visibility & Patterns Known Good Alerts Investigation Lessons learned http://www.scmagazine.com/five-tips-to-detect-contain-and-control-cyber-threats/article/467856/
- 66. Detecting an attack Preparation Identification Containment Eradication Recovery Lessons Learned SANS IR Steps!
- 67. Cyber Kill Chain + Extended Version
- 68. Lockheed Martin Cyber Kill Chain “The seven steps of the Lockheed Martin Cyber Kill Chain® enhance visibility into an attack and enrich an analyst’s understanding of an adversary’s tactics, techniques and procedures.” http://cyber.lockheedmartin.com/solutions/cyber- kill-chain
- 69. Cyber Kill Chain 1. Reconnaissance 2.Weaponization 3.Delivery 4.Exploitation 5.Installation 6.Command & Control 7.Action on Objectives
- 70. Cyber Kill Chain Extended 7 - Actions on Objectives Internal Kill Chain Target Manipulation Kill Chain http://www.seantmalone.com/docs/us-16-Malone- Using-an-Expanded-Cyber-Kill-Chain-Model-to- Increase-Attack-Resiliency.pdf
- 71. Cyber Kill Chain Extended Map & understanding specific systems Subvert target systems & business processes Raise Attackers Cost
- 72. OODA LOOP Attackers Observe Orient Decide Act
- 73. Your Blue Team Fighter Pilots Goose Maverick
- 74. OODA Loop - for the defender Practice Be ready to change direction Take Action
- 75. Relevance Use to actively identify security controls People Process Procedures Identify Gaps Confirm assumptions Tune
- 76. Visibility on Blind Spots Looking at each step allows a methodical approach to defense. Reduces Bias and Blind spots. Can lead to Threat Hunting
- 80. Malicious Attachments Test your email filters Understand which attachments come through Build | refine | controls
- 81. Malicious Attachments Send various types of malicious attachments via multiple sources How many emails does it take to block a sender? What types of attachments generate alerts?
- 82. Go hunting
- 83. In summary LOGS ALERTS THREAT INTEL CORRELATION CYBER KILL CHAIN PROACTIVE=
- 84. Take awaysAKA - what you should remember
- 86. ❖Test it ❖Look for it ❖Patterns ❖Anomalies Total success!
- 87. Thank You! Any questions? Feel free to reach out to us later! @haydnjohnson @3ncr1pt3d