Labtainers: A Docker-based Framework for Cybersecurity Labs · 2019-12-18 · Labtainers: A...

Labtainers:

ADocker-basedFrameworkforCybersecurityLabs

USENIXWorkshoponAdvancesinSecurityEducation15August2017

CynthiaIrvine,MichaelThompson,MichaelMcCarrin,andJeanKhosalim

DepartmentofComputerScienceNavalPostgraduateSchool

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Experientiallearningisdesirable,but…

•  Institutionalinfrastructuremaybeabsent•  Labsaredifficulttobuildanddifficulttomaintain

-  Overworkedinstructorsneedwell-vettedlabs

•  Studentplatformdiversityintroducesproblems-  Differentoperatingsystems,libraries,softwaretools,etc.-  Platformsetupforlabdistractsfromlearningobjectives-  Labresultsvarywidelyduetoconfigurationdifferences

•  Experientiallabsrequireexploration-  Howisthisobserved?

•  Studentsmayshareorreuseotherwork-  Needindividualizedlabs,butgradingeffortbecomeslarge

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LabtainersObjectives

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ConsistentandFair•  Studentsexecutelabsinidenticalenvironments•  Instructorsseeconsistentresultsandassessstudentsontheirwork

ratherthanenvironmentaleffects

Parameterizable•  Labsconfiguredsoeachstudent’sworkcanbeunique•  Labsaresamelevelofdifficultyforallstudents•  Expectedresultsareparameterizedtostreamlinegrading

SupportforAutomaticAssessment•  Collectedstudentworkisparsedforspecificoutputs•  Toolsmaybedevelopedtosupportassessmentofparticularaspects

ofexercise

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Stand-aloneLinuxCybersecurityLabs

• Multi-componentnetworktopologies-  PackagedusingDockercontainers-  Pre-configuredexecutionenvironments

•  Localtostudent’scomputer-  OneLinuxhost,(e.g.,VM)runsmanycontainers-  Noper-labprovisioningrequiredbythestudent

• Publicrepositoryoflabs&openframework

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Architecture

•  LinuxcanruninaVMonanon-Linuxplatform•  Preconfiguredcontainersensureconsistencyacross

heterogeneousplatformsASE,15Aug2017 5

Hardware

Linux

DockerEngine

Bins/Libs Bins/Libs

App

A’’

App

B’

OtherApplications

App

A’

App

A

App

B

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WhyContainers?

•  Similarresourceandnamingisolation-  Dockerfilessimplifyprovisioningofcontainers

•  Studentlaptopcanrunseveralcontainers-  Butmaybeboggeddownby2ormoreVMs-  Enableslabswithmanynetworkedcomponents

• AllcontainersshareLinuxkernelwithhost-  Butcanhavedistinctpackages&libraryversions-  ContainerslimitedtoLinux

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Parameterization

•  Individualizeslabsforeachstudent(optional)• Randomnumberseedbasedonstudentemail•  Example:sizeofbuffertooverflow

-  Symbolicreplacementofvalueinsourcecode-  Vulnerableprogramcompiledduringfirstrun-  Affectsoffsetofreturnaddresstooverwrite

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AutomatedAssessment

•  Studentactivityandfilescollectedasartifacts-  Mostlytransparenttostudents,theyseeLinux-  Bashhookscapturestdin&stdout-  Artifactsforwardedtoinstructor

•  Instructortoolsassessstudentperformance-  Expectedresultsasdefinedbylabdesigner-  Viewofstudent’sfileandabilitytorunprograms

•  Labexercisesindividualizedforstudents-  Discouragessharinganswers&solutionmining-  Automatedassessmentmakesthispractical

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RolesintheWorldofLabtainers

StudentPerforms lab exercise. Learns! Delivers results to instructor forassessment.

DesignerSMEwhoworkswith instructor to create labs basedon learningobjectives. Fine tunes and updates labs. May support auxiliaryassessmenttools.

InstructorDefines learning objectives.Works with (or is) designer. Ensuresstudentreadinesstoperformlabsandconductsassessments.

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•  Designer-createdconfigurationfilesprovideautomation(red)for-  Containersetupandartifactanalysis

•  Manualsteps(green):studentrunslab,studentsendsartifactstoinstructor,instructorreviewsassessmenttable

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Student Linux System Instructor Linux System

artifacts

Student Container

Docker

artifacts

artifacts

Instructor Container

Docker

artifacts

a

b

f

e

d

c

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# goals.config# # Please see labdesigner.md

# Recorded actions or results of student work to be summarized # for instructor

telnetview = matchany : string_equal : fileview : parameter.FSTRINGsshview = matchany : string_equal : sshfileview : parameter.FSTRINGtcpdump_plain = is_true : tcpdumprun failed_login = is_true : failed_login 1111

# results.config# # Please see labdesigner.md

# The following are meant to identify artifacts from telnet lab

fileview = client:telnet.stdout : 4 : STARTSWITH : My string is:sshfileview = client:ssh.stdout : 4 : STARTSWITH : My string is:tcpdumprun = server:tcpdump.stdout : CONTAINS : mydoghasfailed_login = server:/var/log/auth.log : CONTAINS : FAILED LOGIN

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# Filename : start.config# Description:# A simple configuration file read by start.py

# Defines the containers used by both students and instructors

GLOBAL_SETTINGS # GRADE_CONTAINER - container where instructor will perform grading

GRADE_CONTAINER client# HOST_HOME_XFER - directory to transfer artifact to/from containersHOST_HOME_XFER seed_dir/

# LAB_MASTER_SEED - this is the master seed string specific to this laboratoryLAB_MASTER_SEED telnetlab_jean_seed

# SUBNETSNETWORK SOME_NETWORK

MASK 172.20.0.0/24 GATEWAY 172.20.0.100

# Container name and settings

CONTAINER clientUSER ubuntuTERMINALS 2SOME_NETWORK 172.20.0.2

CONTAINER serverUSER ubuntu

TERMINALS 1SOME_NETWORK 172.20.0.3 1212

Note

Forasimplesingle-containerlab,thereisadefaultconfigurationfile.

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Parameterization

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# parameter.config# # Please see labdesigner.pdf

# This string provides per-student parameterization of telnet labFSTRING : HASH_REPLACE : telnetlab.server.student=filetoview.txt : TELNET_STRING : mytelnetfilestirng

•  Labsparameterizedusing-  Perstudentuniquestring,e.g.emailaddress-  Bothstudentandinstructorknowstring

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AssessmentSupport

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telnet SSH tcpdump failed_loginAlan Y X X XAlice Y Y X XBarbara Y Y Y YBill X Y Y XChuck X X X XCorrine Y Y Y Y

•  Instructorstartsthelabandautomatically-  Containerscreated-  Studentartifactspulledin-  Resultsconfigurationsetsupassessmentenvironment-  Loopthroughallstudentsusing

• Parameterconfiguration• Goalsconfiguration

-  Tableofper-studentgoalsproducedtosupportassessment

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StatusandNear-TermObjectives

• AfewproofofconceptlabsfromSEED•  CurrentLabs

-  Formatstring(printf)vulnerabilities-  Bufferoverflow-  Forensics-  Cryptographichashes-  Telnet(plaintextpasswordonthenetwork)-  VPN(configuringOpenvpntoprotecttraffic)-  nmap-  gdbintroduction-  Severalmore

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StatusandNear-TermObjectives

•  Summer2017-  Internaltesting-  Threehighschoolinterns-  Additionallabs,e.g.ICSsecurity

•  EarlyFall2017,initialgeneralrelease

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JointheLabtainersTeam

•  ThebetaversionofLabtainerscanbefoundathttp://my.nps.edu/web/cisr/labtainers

ContactCynthiaIrvineirvine@nps.edu

MikeThompsonmftomps@nps.edu

DepartmentofComputerScience

NavalPostgraduateSchoolMonterey,CA93943U.S.A

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