ISA 674 Intrusion Detection
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1 ISA 674 Intrusion Detection Inviting the attacker to come to you: HoneyPots & HoneyClients! Angelos Stavrou, George Mason University!
2 Honeypots Honeypots are real or emulated vulnerable systems ready to be attacked.! Definition: " Honeypot is an information system resource whose value lies in unauthorized or illicit use of that resource! Primary value of honeypots is to collect information.! This information is used to better identify, understand and protect against threats.! Honeypots add little direct value to protecting your network.!!
3 Why use HoneyPots A great deal of the security profession and the IT world depend on honeypots.! Honeypots are used to! Build anti-virus signatures! Build SPAM signatures and filters! Identify compromised systems! Assist law-enforcement to track criminals! Hunt and shutdown botnets! Malware collection and analysis!
4 Advantages and Disadvantages Advantages! Collect only small data sets(only when interacted), which is valuable and easier to analyze.! Reduce false positives because any activity with the honeypot is unauthorized by definition! Reduce false negatives honeypots are designed to identify and capture new attacks! Capture encrypted activity because honeypots act as endpoints, where the activity is decrypted! Work with IPv6! Highly flexible extremely adaptable and can be used in a variety of environments! Require minimal resources!
5 Advantages and Disadvantages Disadvantages! Honeypots have a limited field of view see only what interacts with them. Can t be used to detect attacks on other systems.! However, there are some techniques to redirect attackers activities to honeypots.! Risk attacker may take over the honeypot and use it to attack other systems.!
6 Types of Honeypots Server: Put the honeypot on the Internet and let the bad guys come to you.! Client: Honeypot initiates and interacts with servers! Other: Proxies!
7 Types of Honeypots Low-interaction! Emulates services, applications, and OS s! Low risk and easy to deploy/maintain! But capture limited information attackers activities are contained to what the emulated systems allow!! High-interaction! Real services, applications, and OS s! Capture extensive information, but high risk and time intensive to maintain! Can capture new, unknown, or unexpected behavior!
8 Examples of Honeypots Low Interaction BackOfficer Friendly! KFSensor! Honeyd! Honeynets!! High Interaction
9 Uses of Honeypots Preventing attacks! Automated attacks (e.g. worms)! n Attacker randomly scan entire network and find vulnerable systems! n Sticky honeypots monitor unused IP spaces, and slows down the attacker when probed! n Use a variety of TCP tricks, such as using 0 window size! Human attacks! n Use deception/deterrence! n Confuse the attackers, making them waste their time and resources! n If the attacker knows your network has honeypot, he may not attack the network!
10 Uses of Honeypots Detecting attacks! Traditional IDSs generate too much logs, large percentage of false positives and false negatives! Honeypots generate small data, reduce both false positives and false negatives! Traditional IDSs fail to detect new kind of attacks, honeypots can detect new attacks! Traditional IDSs may be ineffective in IPv6 or encrypted environment!
11 Uses of Honeypots Responding to attacks! Responding to a failure/attack requires in-depth information about the attacker! If a production system is hacked (e.g. mail server) it can t be brought offline to analyze! Besides, there may be too much data to analyze, which will be difficult and time-consuming! Honeypots can be easily brought offline for analysis.! Besides, the only information captured by the honeypot is related to the attack so easy to analyze.!
12 Uses of Honeypots Research purposes! How can you defend yourself against an enemy when you don t know who your enemy is?! Research honeypots collect information on threats.! Then researchers can!! n Analyze trends! n Identify new tools or methods! n Identify attackers and their communities! n Ensure early warning and prediction! n Understand attackers motivations!
13 Honeynets High-interaction honeypot designed to capture in-depth information.! Information has different value to different organizations.! Its an architecture you populate with live systems, not a product or software.! Any traffic entering or leaving is a suspect.!
14 Honeynet Architecture
15 How It Works A highly controlled network! where every packet entering or leaving is monitored, captured, and analyzed.! Should satisfy two critical requirements:! Data Control: defines how activity is contained within the honeynet, without an attacker knowing it! Data Capture: logging all of the attacker s activity without the attacker knowing it! Data control has priority over data capture!
16 Data Control Mitigate risk of honeynet! being used to harm non-honeynet systems! Tradeoff! need to provide freedom to attacker to learn about him! More freedom greater risk that the system will be compromised! Some controlling mechanisms! Restrict outbound connections (e.g. limit to 1)! IDS (Snort-Inline)! Bandwidth Throttling!
17 No Data Control Internet No Restrictions Honeypot No Restrictions Honeypot
18 Data Control No Restrictions Internet Honeypot Honeywall Connections Limited Packet Scrubbed Honeypot
19 Data Control : Issues Must have both automated and manual control! System failure should leave the system in a closed state (fail-close)! Admin should be able to maintain state of all inbound and outbound connections! Must be configurable by the admin at any time! Activity must be controlled so that attackers can t detect! Automated alerting when honeypots compromised!
20 Data Capture Capture all activity at a variety of levels.! Network activity.! Application activity.! System activity.! Issues! No captured data should be stored locally on the honeypot! No data pollution should contaminate! Admin should be able to remotely view honeynet activity in real time! Must use GMT time zone!
21 Risks Harm! Compromised honeynet can be used to attack other honeynets or non-honeynet systems! Detection! Its value will dramatically decreased if detected by hacker! Hacker may ignore or bypass it! Hacker may inject false information to mislead! Disabling honeynet functionality! Attacker disables the data control & capture! Violation! Using the compromised system for criminal activity!
22 Types of honeynets Gen-I! Gen-II! Virtual! Distributed!
23 Gen-II Honeynet Architecture
24 Virtual Honeynet source:
25 Hybrid Virtual Honeynet Source:
26 What are Honeyclients? High-interaction (active)!!!client-side!!!!!honeypots!!used for detecting and characterizing" malicious sites by driving a system" in a way that mimics human users!
27 Low/Medium/High Interaction Low Medium High Transport layer virtualization Application layer virtualization Real, vulnerable systems 27
28 Trade-offs Speed! Ease of! Implementation! Maintenance! Reuse! Detection (fingerprinting)! Depth of information gathered! Reality vs. simulation! Resources required!!
29 Server-side vs. Client-side
30 Why client-side is so important Threats triggered by end-user behavior! Security is fundamentally a human problem! Criminal focus on soft-targets "!
31 Honeyclient Uses Evaluating/characterizing web sites! Testing endpoint security! Detecting zero-day browser exploits! Mapping malicious neighborhoods! Obtaining unique malware and exploit samples!
32 Examples Drive-by downloads! Adware/spyware! Exploitation websites! Phishing?! Typo-squatting! Zero-day exploits against browsers!
33 Honeyclients vs. Crawlers 33 Honeyclients! Vulnerable to attack! Utilize a mechanized browser when surfing! Must be monitored to detect compromise! Blackbox (MS Strider)! Integrity checks! Scans (AV, AS, etc)! Intrusion Detection! Sandbox (Sandboxie)! Crawlers! Not supposed to be compromised! Crawlers programmatically surf websites to retrieve content! Simulation can be used to determine if content is malicious (sandbox)!
34 Issues with Crawlers Simulation! Exploit may not trigger! Active/dynamic content! Chain reactions! Secondary vulnerabilities! Ease of detection! Fingerprinting! Maliciousness detection! Signatures! Interpretation!
35 Issues with Honeyclients Speed! More complexity = slower! Stability! Infected systems are slow! Maintenance! Reset after infection! Maliciousness detection! Sandbox, IDS, scanners!
36 Projects Utilizing Honeyclient or Crawler Technology MS Strider HoneyMonkey (Microsoft Research)! Honeyclient.org (Kathy Wang)! Mitre Honeyclient Project (Mitre)! Client-side Honeypots (Univ. of Mannheim)! Collapsar/Reverse Honeyfarm (Purdue Univ.)! Phileas (Webroot)! Websense (Hubbard)! SiteAdvisor (McAfee)!
37 Projects Utilizing Honeyclient or Crawler Technology Cont d StillSecure/Pezzonavante (Danford)! SPECTRE (Sunbelt)! Shadow Honeypots (Anagnostakis)! quarantine systems (Columbia Univ.)! Spycrawler (Univ. of Washington)! XPLIntel (Exploit Prevention Labs)! Irish Honeynet Project (Espion)!
38
39
40 MS Strider HoneyMonkey Project
41 2nd Generation Honeyclients
42 Honeyclient.org Honeyclient
43 Issues to Overcome Constant supply of URLs! Preventing infected clients from infecting the planet (honeywall)! Surf tracking (URL Server)! Results from each visit! Coordinate across clients! Limited retries! Correlating infections! Avoid being blacklisted!
44 Pezzonavante Honeyclient
45 Deployment Experience October 2005 March ,000 URLs surfed 7 million links harvested 600+ virus infections 750+ spyware-related events 1,500 malware samples 500+ malicious URLs submitted for takedown
46 Issues Found Speed! Coordination! Correlation! Information Overload! Candidate URLs! Anti-VMware techniques! Infected PCs are slow and unstable. Duh!!
47 Characterizing URLs Potentially malicious websites need to be identified in advance (guided search)! Avoid surfing.mil,.gov, and froogle all day!
48 Methods for Determining Candidate URLs 1. Compare IP/hostname against blacklists! 2. Filename ends in an executable suffix (*.scr, *.exe, *.pif)! 3. Known-bad strings (ie0502.htm, cartao, cmd.txt)! 4. Obfuscated URLs! 5. Known redirectors (from previous squid logs)! 6. McAfee SiteAdvisor ranking! 7. Site logged in the Norman Sandbox! 8. Site or URL substring shows up in virus descriptions!
49 URL Sources URLs harvested from unsolicited ! Google API! Harvested links! SANS ISC URL list! Blacklists!
50 Detecting Malicious Activity Pezzonavante used a hybrid, asynchronous approach to detection"! Osiris integrity checking! Security tool scans! Snort network IDS alerts! Traffic analysis! Snapshot comparisons!!
51 Sandboxes and Integrity Checking CWSandbox! Sandboxie " Others?!
52 Integrity Checking
53 Anti-Virus Running an anti-virus product after the fact will produce some results But
54 Intrusion Detection (Snort) NIDS was most helpful in monitoring for postinfection behavior.!! However, occasional gems were found..!
55 Squid is Your Friend Log entry for site access referenced in previous slide!
56 Network Traffic Analysis (IPTables) Basic visualization needs similar to other honeynet projects! New visualization tools needed to observe near real-time activity on the client!
57 57
58 58
59 Anti-honeyclient Methods 1. Blacklisting! Try to look normal and not get blacklisted! Distributed honeyclient farms! 2. Dialog boxes! GUI automation needed (ex. Windpysend)! 3. Anti-crawler techniques! 4. Time-bombs! Wait 10 sec in case of delayed exploit! 5. Page-close events! Load a blank page to trigger event (delayed exploit)!
60 Anti-honeyclient Methods Cont d 6. Non-deterministic URL behavior! Pool stats with other farms. Overlap surfing! 7. Links no human would click! Background color hyperlinks! IMG links with don t click on them! 8. Timing analysis! 9. Surf behavior! Timing analysis! Paths through a site! - Depth-first vs. breadth-first! - Referer information (deep linking)!
61 Anti-honeyclient Methods Cont d 10. Dynamic and relative URLs! JavaScript $*&#*! 11. Cookies! 12. Session IDs! 13. Encoded URLs, foreign character sets! 14. URL redirection!
62 Malware Analysis Evasion Current trend in certain malware code-bases for detecting debugger or virtual machine environments! More study required to determine what percentage of infections virtual honeyclients may miss! Physical machines plus a disk imager like Ghost may be needed!
63 Anti-VMware and VMware Detection Methods 1. Nopill (Smith)! 2. Vmdetect (Lallous)! 3. Redpill (Rutkowska)! 4. Scoopy Doo (Klein)! 5. Jerry (Klein)! 6. Vmtools (Kato)!
64 Malware Analysis Frameworks Analysis requires automation! Sandboxes and fully instrumented lab networks! Tools for building your own!
65 Resources
66 The Future Data aggregation! Data sharing! Distributed Honeyclient Farms! Correlate honeyclient and honeynet data! Analysis (SANS ISC, CastleCops PIRT)! Coordinated take-downs!
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