The Power of SNORT SNORT Update
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1 The Power of SNORT SNORT Update Jean-Paul Kerouanton 11 th May 2010
2 2 Leveraging the Snort Brand
3 The Power SNORT = The Power of Open Source The SNORT- Universe AMAZON items GOOGLE hits Global base of skilled security professionals well trained Sourcefire VRT is augmented by the resources of the community giving customers the world s largest threat response team. 3
4 Snort and more. Open Source SNORT CLAMAV OfficeCat Deamonlogger 4
5 A very nice pig.. Best of Both Worlds Open Source Community + Sourcefire Development 5
6 6 In different suites.
7 6 In different suites.
8 7
9 7 How it all started.
10 7 How it all started.
11 How it all started. Marty invented SNORT.Back in Dec 1998 Originally as a kind of better Sniffer Got quick huge recognition as IDS Participated successful in tests/challenges with commercial products Customer demand for commercial solution increased Sourcefire was founded 2001 Martin Roesch ranks amongst top 100 IT influencers 7
12 SNORT.ORG Free access to SNORT Engine and Rules downloads REGISTERED user Subscribe or not to subscribe, that is the questions.. Subscription is virtually- cheap (personal: 29,99 USD/year; internal use, +6 sensors: 399,99 USD per year) Regular updates, much faster With no subscriptions updates delayed (30 days) Able to contribute Rich information exchange Maintained by a special (around VRT) 8
13 9
14 9 SNORT and Sourcefire
15 SNORT and Sourcefire Snort and Sourcefire: 2010 in its 10th wedding anniversary BTW: 29% of spouses in US getting divorced prior 7 years being married ;-) SnortSP (Snort Security Platform) will help Snort to maintain its dominance for the next 10 years! Sourcefire owns 100% of the SnortSP code Provides a common infrastructure for processing and decoding traffic among multiple 3D applications ( engines ) Significant benefits for 3D customers, open source users SnortSP was the first major milestone toward Snort 3.0 and our 3D System architecture 9
16 10
17 10 SNORT rules are open. Does this hurt?
18 SNORT rules are open. Does this hurt? No security by obscurity Everybody can write its own Users will see what he gets Business proven Robust Security is proven by millions of people 10
19 11
20 SNORT and VRT the lead in Cybersecurity Deep Snort knowledge Responsibilities include: Publishing new Snort rules, SEU s & VDB s Publishing new ClamAV signatures Development of the ClamAV Engine Threat Research 100 Percent MS Coverage Coverage for All Adobe 0-Days Covered 10 Critical Rated Adobe Bugs No one else has coverage for these. ICSA Certified Best Overall Detection at NSS 900 Vulnerabilities covered with 890 rules in
21 My concern right now isn t what I m being attacked with, its finding what I need to defend Sourcefire customer 12
22 But what are we protecting? My concern right now isn t what I m being attacked with, its finding what I need to defend Sourcefire customer 12
23 13
24 Passive Discovery Network fingerprinting Real-time, not periodic Zero impact Impossible to evade 13
25 14
26 Enforcing network configurations Real-time Network Map Configuration Baseline Compliance Map Real-time Comparison Compliance system Actionable Event 14
27 What s New in Snort 2.8.5
28 Multiple Configurations Allows for multiple snort.confs to be used by one Snort Process Configuration selected by VLAN or IP Address Prioritized by VLAN, Destination IP, Source IP Allows single Snort instance to monitor different networks with rules specific to each network 16
29 Multiple Configurations (cont.) Configuration Binding Main snort.conf is default configuration Specific path to network specific snort.conf and VLAN or subnet via config binding option in main snort.conf Can use different rule variables across configurations Rule option (content, byte_test, pcre, etc) must be the same for each rule sid Rule src/dst IP address & port can differ Rule action (alert, drop, etc) can differ 25
30 Multiple Configurations (cont.) Can use different filter settings across configurations Suppression, Event Filters, Rate Filters Can use different preprocessor settings across configurations Preprocessor configurations can differ Memory settings (memcaps, tcp limits, etc) used from the default configuration Output plugins (unified2, etc) are global and specified in default configuration 26
31 Rate Based Attack Prevention New/Updated Filters Rate Filters Limit connections & connection attempts per host Change rule action when a rate is reached Example: SYN Floods Detection Filters Use to detect attacks where a limit/rate is required Drop rule will not drop traffic until rate is met Example: DNS Spoofing attacks Output/Event Filters Limit the number of alerts Snort generates 27
32 Rate Based Attack Prevention (cont.) Rate Filters New keyword rate_filter Change rule action when a rate is reached Pass to Alert Alert to Drop Based on rule s GID & SID, use special ones for 135:1 Connection Attempts (SYN Attacks) 135:2 Simultaneous open connections Can specify multiple rate_filters per GID & SID pair Use track by_src or by_dst options to control specific sides of the connection Use apply_to to control specific hosts/networks 28
33 Rate Based Attack Prevention (cont.) Detection Filters New rule option detection_filter Replaces in-rule thresholds and restricts the number of times a rule actually alerts Considered part of the rule, just the same as content, byte_test, etc. Used to detect attacks where a rule must match multiple times in a time period before alerting 29
34 Rate Based Attack Prevention (cont.) Output Filters New keyword event_filter Equivalent to the old threshold keyword Same syntax Changed to eliminate confusion between the filter and its type (threshold, limit, both) Example: event_filter type threshold threshold keyword still supported for backwards compatibility, will be removed in a future release Reduces the number of alerts Snort generates No changes to suppression keyword 30
35 SSH Preprocessor No Longer experimental What does this preprocessor do? Decode SSH connections Identifies certin classes of attacks on SSH servers SecureCRT SSH Client Buffer Overflow attack Catalyst Exploit Challenge Response Overflow SSHv1 CRC32 Identifies encrypted sessions for Snort to ignore Makes snort more efficient 31
36 Configuration Update/SigHUP Allows for full update to configuration without termination of Snort Continued inspection while new configuration is being loaded Improved startup/shutdown speed to allow continued flow of network traffic when Snort is deployed inline 32
37 Performance Improvements Leverages knowledge gained from SnortSP Recognized internal packet structure Makes packet decoding faster Results in improved throughput, reduced CPU usage Faster loading and use of shared libraries Side-effect, cannot use Snort with shared rules or preprocessors (.so/dll) Improvements of performance of some.so rules 33
38 What s New in Snort 2.8.6
39 Generally Improvements to Pattern Matching efficiency Improved HTTP response processing Improved detection of file-based attacks against client applications Web Browser MS Office Others Better ways to detect credit card numbers, social security numbers, and other personal information 34
40 Improved Fast Pattern Matcher Improved memory usage of Snort Engine. Fast pattern matcher automatically measures memory and more efficiently identifies rules likely to match packets. Increase around 10 % the performance. 34
41 Http Detection Enhancements Analyze more in depth http traffic New Options for http pre-processor Compressed gzip inspection Cookies New Keywords : http_encode and file_data New arguments for Content and pcre keywords 34
42 Sensitive Data Detection Detect and alert on sensitive data leaks Can detect data as Social Security numbers, Credit Card... Detection in ASCII text Known as Baby-DLP 34
43 Next?
44 Snort Roadmap Q2 Q3 Q4 Q1 Q2 Q3 Product Line Snort Planned Features Sensitive Data Preprocessor ( Baby DLP ) Client-Side Improvements (gzip decoding, file pointers, etc.) Pattern Matching Performance Enhancement Targeted Features Stream Reassembler Update MIME/Base64 Decoding Improved Web Proxy Support Research Areas Snort 3.0 Detection Engine 34
45 33
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