Metrics Suite for Enterprise-Level Attack Graph Analysis
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1 Metrics Suite for Enterprise-Level Attack Graph Analysis Cyber Security Division 2012 Principal Investigators Meeting October 11, 2012 Sushil Jajodia (PI), Steven Noel (co-pi) Metrics Suite for Enterprise-Level Attack Graph Analysis Center for Secure Information Systems, George Mason University [jajodia,
2 Introduction TTA #2 (Enterprise-Level Security Metrics), Type III GMU Center for Secure Information Systems Top national research and academic security center 10+ years developing TVA technology 20+ TVA-related publications, 700+ citations 5 TVA-related patents, others pending Applied Visions, Inc. Experts in data visualization Interactive visualizations of attack graph metrics ProInfo, Inc. Lead commercialization efforts in Cauldron Strategic vision for Cauldron rollout Support customer engagements 2
3 Project Goals Suite of metrics for measuring enterprise cyber security risk Based on multi-step attack vulnerability throughout the network Complementary metrics for measuring different aspects of enterprise security Based on applicable standards (CVE, CVSS, etc.) Interactive visualizations showing how security evolves over time Integration with Cauldron attack graph tool 3
4 System Architecture Vulnerability Scanning Penetration Testing Data loss intelligence Port scanning Firewalls And Routers Asset management Vulnerability data Integration Points Nessus Retina Foundstone ncircle Core Impact Unveillance nmap Cisco Juniper Sidewinder Discovery BDNA NIST NVD Network Modeler Enterprise Metrics Suite Metrics Engine Metrics Visualizer Attack Graph Analysis 4
5 Motivating Example Remediate By Host (Top 3) No remediation Remediate By Connection (Top 3) Remediate By CVSS (Top 15) 5
6 Challenges Understand impact of combined vulnerabilities and policies on security posture Prioritize critical problems Compare options for risk mitigation Measure improvement or degradation of security over time Build comprehensive and accurate models of networks, vulnerabilities, and risk factors Apply meaningful metrics that inform decisions in complex environments 6
7 Metrics Capabilities Isolated network data and events Hosts, vulnerabilities, firewall rules, IDS events, etc. without context Attack graph elements Isolated data correlated and placed in context of layered defenses Attack graph logic and structure Impact of threats throughout network, how likely an attack will succeed Attack graph predictive analysis What-if scenarios, zero-day vulnerabilities 7
8 Sample Metrics Vulnerability-Exploitability-Attackability Measures host vulnerability, exploitation likelihood, and ratio of actual to potential number of attack paths Attack graphs as collections of single-step attacks Attack Likelihood How likely an attack scenario will succeed Overall attack risk based on attack graph logical relationships CVSS Interdependency Analyzes interdependencies of CVSS base metrics for vulnerabilities In context of attack path sequences k-zero-day Safety Ability of network to survive exploitation of zero-day vulnerabilities Favors layered attack defenses and heterogeneous platforms 8
9 Small Example Firewall Policy Allow ftp(0,1), rsh(0,1), ssh(0,1), ftp(0,2), rsh(0,2) Deny all other sshd_bof(0,1) rsh_rhosts(0,1) Or rsh_rhosts(1,2) rsh_rhosts(0,2) Or local_bof(2) Attack Goal 9
10 Options to Compare Option 1: block ssh(0,1) and rsh(0,2) in firewall Option 2: block rsh(0,1) and rsh(0,2) in firewall rsh_rhosts(0,1) sshd_bof(0,1) rsh_rhosts(1,2) rsh_rhosts(1,2) local_bof(2) Attack Goal local_bof(2) Attack Goal Option 3: Patch vulnerabilities, no change to firewall Option 4: Patch vulnerabilities, change firewall per Option 1 Option 5: Patch vulnerabilities, change firewall per Option 2 10
11 Comparison Results Network Attack CVSS k Zero VEA Configuration Likelihood Interdependency Day Initial Option Option Option 3 (Initial patched) Option 4 (Option 1 patched) Option 5 (Option 2 patched) Initial / Option
12 Metrics Visualization 12
13 Visually Comparing Options Initial Option 1 Option 2 Option 3 Option 4 Option 5 13
14 Cauldron Dashboard 14
15 Schedule and Deliverables Project Reviews (kickoff, mid-year, end of year), interim meetings via video/telephone/web Software implementation and associated documentation Monthly status reports Final Report (requirements, design, interfaces, test results, lessons learned, etc.) 15
16 Transition Plan Cauldron commercialization through Mason Tech Transfer (GMIP) and ProInfo/CyVision partnership Cauldron deployed in a variety of customer settings Significant IP, protected by patents and copyrights Available under GSA scheduling Marketing through direct sales and a network of resellers, strategic partners, and OEM relationships Strategic partners for services and complementary technologies Strategy: Identify early adopters for new metrics capabilities combined with Cauldron, delivering mission-critical requirements for situational awareness, common operating picture, and visualization 16
17 Metrics Suite for Enterprise-Level Attack Graph Analysis Vulnerability Scanning Penetration Testing Data loss intelligence Port scanning Firewalls And Routers Asset management Vulnerability data Potential Integration Points Nessus Retina Foundstone ncircle Core Impact Unveillance nmap Cisco Juniper Sidewinder Discovery BDNA NIST NVD Network Modeler Enterprise Metrics Suite Metrics Engine Metrics Visualizer Attack Graph Analysis OPERATIONAL CAPABILITY Suite of metrics for enterprise network security risks. Based on network-wide model of multi-step attack vulnerability. Complementary metrics for measuring different aspects of enterprise security. Integrates seamlessly with Cauldron attack graph tool. TECHNICAL APPROACH Model network attack vulnerability, populate from scan tools, firewalls, and other data sources. Correlate model with known cyber attack vulnerabilities and environmental metadata, apply network access policy rules. Based on assumed threat sources and missioncritical assets, compute network-wide metrics that measure security for the entire enterprise. Visualize for trending and comparative analysis. SCHEDULE & CONTACT INFO. Principal Investigator: Sushil Jajodia Center for Secure Information Systems George Mason University Subcontractors: Applied Visions, Inc. (Secure Decisions Division) ProInfo, Inc. 17
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