Data- Driven Threat Intelligence: Metrics on Indicator Dissemination and Sharing (#ddti)
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1 Data- Driven Threat Intelligence: Metrics on Indicator Dissemination and Sharing (#ddti) Alex Pinto Chief Data Scientist Niddel / Alexandre Sieira
2 MLSec Project / Niddel MLSec Project research- focused branch of Niddel for open- source tools and community building Niddel builds Magnet, the Applied Threat Intelligence Platform focused on detecting breaches and malware activity Looking for trial prospects and research collaboration More info at: niddel.com mlsecproject.org
3 Agenda Cyber War Threat Intel What is it good for? Combine and TIQ- test Measuring indicators Threat Intelligence Sharing Future research direction (i.e. will work for data) HT
4 Presentation Metrics!! 50- ish Slides 3 Key Takeaways 2 Heartfelt and genuine defenses of Threat Intelligence Providers 1 Prediction on The Future of Threat Intelligence Sharing
5 What is TI good for (1) Attribution
6 What is TI good for anyway? TY for his work on
7 What is TI good for (2) Cyber Maps!! TY for his work on
8 What is TI good for anyway? (3) How about actual defense? Strategic and tactical: planning Technical indicators: DFIR and monitoring
9 Affirming the Consequent Fallacy 1. If A, then B. 2. B. 3. Therefore, A. 1. Evil malware talks to I see traffic to ZOMG, APT!!!
10 But this is a Data- Driven talk!
11 Combine and TIQ- Test Combine ( Gathers TI data (ip/host) from Internet and local files Normalizes the data and enriches it (AS / Geo / pdns) Can export to CSV, tiq- test format and CRITs Coming Soon : CybOX / STIX / SILK /ArcSight CEF TIQ- Test ( test) Runs statistical summaries and tests on TI feeds Generates charts based on the tests and summaries Written in R (because you should learn a stat language)
12 test- Summer2015
13
14 Using TIQ- TEST Feeds Selected Dataset was separated into inbound and outbound TY and John Bambenek for access to their feeds
15 Using TIQ- TEST Data Prep Extract the raw information from indicator feeds Both IP addresses and hostnames were extracted
16 Using TIQ- TEST Data Prep Convert the hostname data to IP addresses: Active IP addresses for the respective date ( A query) Passive DNS from Farsight Security (DNSDB) For each IP record (including the ones from hostnames): Add asnumber and asname (from MaxMind ASN DB) Add country (from MaxMind GeoLite DB) Add rhost (again from DNSDB) most popular PTR
17 Using TIQ- TEST Data Prep Done
18 Novelty Test Measuring added and dropped indicators
19 Novelty Test - Inbound
20 Aging Test Is anyone cleaning this mess up eventually?
21 INBOUND
22 OUTBOUND
23 Population Test Let us use the ASN and GeoIP databases that we used to enrich our data as a reference of the true population. But, but, human beings are unpredictable! We will never be able to forecast this!
24
25 Is your sampling poll as random as you think?
26 Can we get a better look? Statistical inference- based comparison models (hypothesis testing) Exact binomial tests (when we have the true pop) Chi- squared proportion tests (similar to independence tests)
27
28 Overlap Test More data can be better, but make sure it is not the same data
29 Overlap Test - Inbound
30 Overlap Test - Outbound
31 Uniqueness Test
32 Uniqueness Test Domain- based indicators are unique to one list between 96.16% and 97.37% IP- based indicators are unique to one list between 82.46% and 95.24% of the time
33
34 I hate quoting myself, but
35 Key Takeaway #1 Key Takeaway #1 MORE!= BETTER Threat Intelligence Indicator Feeds Threat Intelligence Program
36 Intermission
37
38 Key Takeaway #2
39 Key Takeaway #1 "These are the problems Threat Intelligence Sharing is here to solve! Right?
40 Herd Immunity, is it? Source:
41 Herd Immunity would imply that other people in your sharing community being immune to malware A meant your likelihood of infection from it wa negligible regardless of controls you applied.
42 Threat Intelligence Sharing How many indicators are being shared? How many members do actually share and how many just leech? Can we measure that? What a super- deeee- duper idea!
43 Threat Intelligence Sharing We would like to thank the kind contribution of data from the fine folks at Facebook Threat Exchange and Threat Connect and also the sharing communities that chose to remain anonymous. You know who you are, and we you too.
44 Threat Intelligence Sharing Data From a period of to : - Number of Indicators Shared Per day Per member Not sharing this data privacy concerns for the members and communities
45 Update frequency chart
46
47
48 OVERLAP SLIDE
49 OVERLAP SLIDE
50 UNIQUENESS SLIDE
51 MATURITY?
52 Reddit of Threat Intelligence?
53
54 Key Takeaway #1 'How can sharing make me better understand what are attacks that are targeted and what are commodity?'
55 Key Takeaway #3 Key Takeaway #1 (Also Prediction #1) TELEMETRY > CONTENT
56 More Takeaways (I lied) Analyze your data. Extract more value from it! If you ABSOLUTELY HAVE TO buy Threat Intelligence or data, evaluate it first. Try the sample data, replicate the experiments: test- Summer test- Summer2015 Share data with us. I ll make sure it gets proper exercise!
57
58 Q&A? Feedback! Thanks! @NiddelCorp @NiddelCorp The measure of intelligence is the ability to change." - Albert Einstein
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