VRDA Vulnerability Response Decision Assistance
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1 VRDA Vulnerability Response Decision Assistance Art Manion CERT/CC Yurie Ito JPCERT/CC EC2ND Carnegie Mellon University
2 VRDA Rationale and Design 2
3 Problems Duplication of effort Over 8,000 vulnerability reports in 2007 Various sources, formats, languages, contents, levels of detail, accuracy, comprehensibility Collection and analysis requires significant effort 3
4 Problems (2) Inconsistent response decisions Analysts may disagree Analysts apply personal prejudices Decisions may not represent organizational values 4
5 Problems (3) Existing metrics insufficient Most metrics output global severity values One size does not fit all. Common Vulnerability Scoring System (CVSS) Contains environmental metrics Focus on base score Values vary by organization May respond differently to the same vulnerability Use different software Use the same software in different ways Value information assets differently 5
6 Solution VRDA proposes to answer the question: How do I best respond to a given vulnerability report? Goals Record vulnerability data in structured format Support individualized response decision Transition organizational knowledge from human analysts to VRDA Improve response accuracy and consistency Reduce duplication of effort 6
7 Audience System administrators Operational responsibility for fixing systems CSIRTs Provided advice to system administrators, users Vendors Product security response teams Anybody regularly responding to vulnerability reports 7
8 Operational Concept 8
9 Components Decisions to make: Tasks Vulnerability representation: Facts Product usage: LAPTs Encoding decision-making: Decision Model 9
10 Tasks Decisions an organization must make Specific to each VRDA user Example tasks Publish an advisory Initiate patch process Implement workaround Ignore (don t expend effort on low priority vulnerabilities) 10
11 Facts Properties of vulnerabilities and their environment Assertions based on available information Vulnerability Facts inherent technical attributes World Facts about environment Constituency Facts specific to VRDA user organization Balance accuracy, completeness, granularity, cost 11
12 LAPTs Lightweight Affected Product Tags Problem: Constituency facts cannot be given to you LAPTs identify products affected by vulnerability Facilitates lookup of constituency facts External feed provides LAPTs for each vulnerability Cross-reference with your database 12
13 Decision Model Represents individualized decision-making behavior Expert system encoding organizational values Decision trees 13
14 Decision Model (2) Why decision trees? Observable, understandable Can be created and refined by hand Model creation Design initial model from experience Create empirical model based on recorded data 14
15 Related Work Structured vulnerability descriptions Common Vulnerability Scoring System (CVSS) Open Source Vulnerability Database (OSVDB) Open Vulnerability and Assessment Language (OVAL) Advisory exchange formats Common Announcement Interchange Format (CAIF) EISPP Common Advisory Format Description Deutsches Advisory Format (DAF) VULnerability Data publication and Exchange Format (VULDEF) System information Common Model of System Information (CMSI) Common Product Enumeration (CPE) 15
16 Related Work (2) Severity metrics Common Vulnerability Scoring System (CVSS) Security Content Automation Protocol (SCAP) National (US) Institute of Standards and Technology (NIST), MITRE Set of vulnerability management and compliance standards (CVE, CCE, CPE, CVSS, XCCDF, OVAL) 16
17 VRDA Usage with KENGINE 17
18 KENGINE VRDA implementation developed by JPCERT/CC Intend to open-source KENGINE provides consistent analysis and reasoning action Other KENGINE functions Task management LAPT management Decision tree management Reporting KENGINE Minimum resources to handle the maximum number of vulnerabilities 18
19 Deployment Interview user organization Determine all possible tasks Identify task dependencies Mandatory/conditional actions do not involve choice, not tasks Determine facts Select only facts necessary to make decisions about tasks Develop decision model Teach/train the system using sample VRDA data and choosing appropriate tasks Create or modify decision trees manually 19
20 Usage CERT/CC, JPCERT/CC publish vulnerability facts (metrics) User determines tasks, creates decision model, provides userspecific facts (metrics) KENGINE gives prioritized response decision Compare VRDA decisions with actual response, adjust decision model as necessary Graphic on all three slides with parts highlighted 20
21 Usage Get or create VRDA data CERT/CC and JPCERT/CC publish fact feeds Score organization-specific facts Process vulnerability reports Use the decision model Record actual decisions 21
22 Feedback Compare recommendations with actual decisions Refine decision making process Update decision model Facts may be missing or inaccurate Tasks may be missing 22
23 JPCERT/CC Operation Feed back Incident Reports Vulnerability Reports Traffic Monitoring Public monitoring Analysis Special Communication Alert JVN International CSIRT FIRST APCERT CERT/CC CPNI Vendors Hardware/software vendors, SIers Japanese partners ISPs, Organization CSIRTs Public info Security site, Community, media Incident Reports System Admin Web admin Weekly Report Workshop, awareness program Monitoring Validation Categorize Data store Triage escalation publish Feedback 23
24 JPCERT/CC Facts 1. Impact Constituency Facts Vulnerability Facts 2. System Importance in Japan 3. System Population in Japan World Facts 4. Usage by critical infrastructure 5. Impact to internet infrastructure 6. Access requirement 7. How complicated is the attack? 8. Incident/attack activity 9. Information accessibility (public or private report) 10. Confidence in the information source 11. Availability of remediation (patch/countermeasures) 12. Usage by JPCERT 24
25 Feed Operation Feed service provider Internet Intranet CSIRT users FS #2 connector Feed reader adapter FS #3 connector FS #1 FS #4 connector Light users Feed reader connector Feed reader View as web page Developers, heavy users OSS base KENGINE Data format might also available in other XML based format connector tool OSS base tool 25
26 KENGINE 26
27 Vulnerability Reports 27
28 Vulnerability Report Detail 28
29 LAPT Management 29
30 Task Workflow 30
31 Decision Tree 31
32 Task Deviation Report 32
33 Progress Report 33
34 Handling Volume Report 34
35 Future KENGINE availability JPCERT/CC intends to provide open-source Documented in Japanese and English JPCERT/CC VRDA data feeds with vulnerability and world facts Pilot program in progress Deployment consulting CERT/CC Developing pilot program Considering integration into workflow and products 35
36 More Information Art Manion Yurie Ito 36
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