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Secure Certifying Compilation

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Title: Secure Certifying Compilation


1
Secure Certifying Compilation
What do you want to type check today?
  • David Walker
  • Cornell University

2
Extensible Systems
  • Many systems have programmable interfaces.
  • printers and editors (postscript printers, emacs,
    Word)
  • browsers and servers (applets, plugins,
    CGI-scripts)
  • operating systems (virus scanners)
  • networks (active networks, JINI)

System Interface
Code
Download, Link Execute
3
Extensible Systems Pros
  • Client-side customization
  • plug in your own devices, 3rd-party utilities
  • Preservation of market-share
  • vendors can add features, improve functionality
    easily
  • System maintenance and evolution
  • software subscriptions

4
Extensible Systems Cons
  • Security
  • extensibility opens system to malicious attacks
  • how do we prevent misuse of resources?
  • Reliability
  • flexibility makes it hard to reason about system
    evolution
  • how do we limit damage done by erroneous
    extensions?

5
Extensible Systems Reality
  • Strong economic and engineering pros
  • Mobile code, systems with programmable interfaces
    will proliferate
  • A necessity practical technology for increasing
    the security and reliability of extensible systems

6
Outline
  • Framework for improved reliability and security
  • Idea I certifying compilation
  • Idea II security via code instrumentation
  • An instance popl '00
  • Security automaton specifications
  • A dependently-typed target language (TAL)
  • Related work research directions

7
Certified Code
Untrusted Code
Secure Code
System Interface
Download Check
Link Execute
Certificate
  • Attach annotations/certificate (types, proofs,
    ...) to untrusted object code extensions
  • Certificates make verification feasible
  • Move away from trust-based security reliability

8
Certifying Compilation
  • Low-level certificate generation must be
    automated
  • Necessary components
  • 1) a source-level programming
  • language
  • 2) a compiler to compile and optimize source
    programs while preserving the certificate
  • 3) a certifying target language

High-level Program
Compile
certificate
Annotated IR
Optimize
Transmit
9
Question
How should we obtain the initial certificate?
10
Answer
  • Use a type-safe language
  • Type inference relieves the tedium of proof
    construction
  • Programmers will rewrite programs so they type
    check

11
Certifying Compilation So Far
Type Safe High-level Program
  • 1) a strongly typed source-level programming
    language
  • 2) a type-preserving compiler to compile and
    optimize source programs
  • 3) a certificate language for type-safety
    properties

types
Compile
Typed Program
Optimize
Transmit
12
Certifying Compilers
  • Proof-Carrying Code Necula Lee
  • an expressive base logic that can encode many
    security policies
  • in practice, logic is extended with a type system
  • compilers produce type safety proofs
  • Typed Assembly Language Morrisett, Walker, et
    al
  • flexible type constructor language that can
    encode high-level abstractions
  • guarantees type safety properties

13
Conventional Type Safety
  • Conventional types ensure basic safety
  • basic operations performed correctly
  • abstraction/interfaces hide data representations
    and system code
  • Conventional types don't describe complex
    security policies
  • eg policies that depend upon history
  • Melissa virus reads Outlook contacts list and
    then sends 50 emails

14
Outline
  • Framework for improved reliability and security
  • Idea I certifying compilation
  • Idea II security via code instrumentation
  • An instance popl '00
  • Security automaton specifications
  • A dependently-typed target language (TAL)
  • Related work research directions

15
Flexible Security Policies
High-level Extension
  • Specify policies independently of extensible
    system
  • Compiler instruments extensions
  • Easier to understand, debug, evolve policies

Compiler
Security Policy
Instrument
Analyze Optimize
16
Security Policy Specifications
  • Requirement a language for specifying security
    policies
  • Features
  • Notation for specifying events of interest
  • "network send" and "file read" are
    security-sensitive
  • Notation for specifying illegal behaviour
  • a privacy policy "no send after read"
  • A feasible compilation strategy
  • must be able to prevent programs from violating
    the policy

17
Examples
  • SFI Wahbe et al
  • events are read, write, jump
  • enforce memory safety properties
  • SASI Erlingsson Schneider, Naccio Evans
    Twyman
  • flexible policy languages
  • not certifying compilers

18
Putting it Together
  • define policies in a high-level, flexible and
    system-independent specification language
  • instrument system extensions both with dynamic
    security checks and static information
  • preserve proof of security policy during
    compilation and optimization
  • verify certified compiler output to reduce TCB

19
Outline
  • Framework for improved reliability and security
  • Idea I certifying compilation
  • Idea II security via code instrumentation
  • An instance popl '00
  • Security automaton specifications
  • A dependently-typed target language (TAL)
  • Related work research directions

20
Secure Certified Code
  • Overview of Architecture
  • Security Automata Erlingsson Schneider
  • How to specify security properties
  • A simple compilation strategy
  • A dependently-typed target language (TAL)
  • A brief introduction to TAL
  • Extensions for certifying security properties
  • theoretical core language proven sound
  • can express any security automaton policy

21
Security Architecture
Security Automaton Specification
High-level Extension
System Interface
Instrument
Annotate
Secure Typed Extension
Secure Typed Interface
Type Check
Optimize
Secure Executable
Transmit
22
Security Automata
  • A general mechanism for specifying security
    policies
  • Specify any safety property
  • access control policies
  • cannot access file foo
  • resource bound policies
  • allocate no more than 1M of memory
  • the Melissa policy
  • no network send after file read

23
Example
read(f)
start
has read
send
read(f)
bad
send
  • Policy No send operation after a read operation
  • States start, has read, bad
  • Inputs (program operations) send, read
  • Transitions (state x input -gt state)
  • start x read(f) -gt has read

24
Example Contd
read(f)
start
has read
send
read(f)
bad
send
  • S.A. monitor program execution
  • Entering the bad state security violation

untrusted program s.a. start state send()
ok -gt start read(f) ok -gt has read
send() bad, security violation
25
Bounding Resource Use
malloc (i)
0
i
n - 1
...
...
malloc (i)
bad
  • Policy "allocate fewer than n bytes"

26
Enforcing S.A. Specs
  • Every security-relevant operation has an
    associated function checkop
  • Trusted, provided by policy writer
  • checkop implements the s. a. transition function

checksend (state) if state start then
start else halt terminates
execution
27
Enforcing S.A. Specs
  • Easy, wrap all function calls in checks
  • Improve performance using program analysis

send()
let next_state checksend(current_state)
in send()
28
Outline
  • Technology for improved reliability and security
  • Idea I certifying compilation
  • Idea II security via code instrumentation
  • Secure certifying compilation popl '00
  • Security automaton specifications
  • A dependently-typed target language (TAL)
  • Related work research directions

29
Brief TAL Overview
Typecheck
Link
  • Assembly or machine code with typing annotations
  • Object files checked separately and linked
    together
  • Ensures basic safety without run-time checks
  • Memory safety can't read/write arbitrary memory
  • Control-flow safety can't execute arbitrary data
  • Type abstraction TAL can encode and enforce
    high-level abstract data types

30
A TAL Compiler
  • TAL is practical
  • We compile "safe C" (aka Popcorn)
  • No pointer arithmetic, unsafe casts
  • ML-style data types, polymorphism, exceptions
  • Some simple optimizations
  • null-check elimination, inlining, register
    allocation
  • The compiler bootstraps
  • most compiler hacking by Grossman, Morrisett,
    Smith

31
Other TAL Features
  • Memory management features
  • Stack types
  • Aliasing
  • Region-based MM
  • See Daves thesis
  • Other features
  • Dynamic linking
  • Run-time code generation
  • http//www.cs.cornell/talc

32
Typing Assembly Code
  • Programs divided into labeled code blocks
  • Each block has a code type eax?,ebx?,...
  • Code types specify expected register contents
  • Assume code type to check the block
  • Prove control transfers (jumps) meet the
    assumptions

Foo eax int, ecx eax int mov ebx, 3
eax int, ebx int, ecx eax int add
eax, ebx OK jmp ecx OK
33
Increasing Expressiveness
  • Basic types ensure standard type safety
  • functions and data used as intended and cannot be
    confused
  • security checks cant be circumvented
  • Introduce a logic into the type system to express
    security invariants
  • Use the logic to encode the s.a. policy
  • Use the logic to prove checks unnecessary

34
Target Language Predicates
  • States (for compile-time reasoning)
  • constants start, has read, bad, ...
  • variables ?1, ?2, ...
  • Predicates
  • describe security states
  • instate(?)
  • describe relationships between states
  • transsend(?1,?2)
  • describe dependencies between values
  • (see the paper)

35
Preconditions
  • Code types can specify preconditions
  • A typical use

foo ??, instate(?), ? ? bad.eax?1, ecx?2
- instantiate polymorphic variable ? - prove
residual preconditions - eg instate(start),
start ? bad - hope proofs are easy (syntactic
matching) - otherwise place explicit proof at
call site - eg jmp foo start, Proof, Proof
bar ... ... Known instate(start) ...
jmp foo start
36
Postconditions
  • Expressed as a precondition on the return address
    type
  • bar eax ?1, ecx ?instate(has read).eax
    ?2
  • Before returning, bar proves instate(has read)
  • After return, assume instate(has read)

37
Encoding Security Automata
  • Each security-relevant function has a type
    specifying 3 preconditions, 1 postcondition
  • the send function
  • P1 instate(?curr)
  • P2 transsend(?curr,?next)
  • P3 ?next ? bad
  • Pre P1, P2, P3
  • P4 instate(?next)
  • Post P4

send ??curr,?next,P1,P2,P3. ecx ?P4.
38
Technical Note
  • State predicates behave linearly
  • as in linear logic, each state predicate is used
    once
  • instate(?curr) is "consumed" at send call site
  • can't be used in future proofs
  • can't fool type system into thinking code
    continues to be in state ?curr
  • instate(?next) is "produced" on return
  • will be used when next calling a
    security-sensitive function

39
Compile-time Run-time
  • Compile-time reasoning depends on run-time values

foo mov eax, state should represent the
current state mov ecx, ret1 jmp
checksend state argument, state result
in eax
ret1 push eax
save next state on the stack mov ecx, ret2
jmp send must establish
precondition for send checksend
postcond. precond. for ret1, send
40
Checksend
  • A type for checksend (first try)
  • checksend
  • ??curr,P1.eaxstate, ecx??next,P1,P2,P3.
    eaxstate
  • where
  • P1 instate(?curr), P2 transsend(?curr,?next)
    , P3 ?next ? bad

41
Checksend
  • A type for checksend (first try)
  • No correspondence between run-time argument and
    static information
  • checksend
  • ??curr,P1.eaxstate, ecx??next,P1,P2,P3.
    eaxstate
  • where
  • P1 instate(?curr), P2 transsend(?curr,?next)
    , P3 ?next ? bad

mov eax, wrong_state mov ecx, next jmp checksend
42
Checksend
  • Solution provide very precise types
  • Singleton types
  • A type containing one value
  • eax state(start)
  • means eax contains a data structure that
    represents exactly the start state and no other
    state
  • eax state(?)
  • eax contains data representing the unknown state
    ?
  • useful in many contexts
  • Similar to Dependent ML Xi Pfenning

43
Using Singletons
  • checksend
  • implements the automaton transition function
  • intuitively has type state -gt state
  • singletons help relate run-time values to
    compile-time predicates
  • ??curr,P1.eaxstate(?curr),ecx??next,P1,P2,P3
    .eaxstate(?next)
  • P1 instate(?curr), P2 transsend(?curr,?next),
    P3 ?next ? bad

44
Using Checksend
foo ... Assume
instate(?curr), eax state(?curr) mov
ecx, ret1 jmp check_send?curr ret1
??next, instate(?curr), transsend(?curr,?next),
?next ? bad. eaxstate(?next).
push
eax mov ecx, ret2 jmp send
?curr,?next P1 P2 P3 gt ok ret2 ...
45
Optimization
  • Analysis of s.a. structure makes redundant check
    elimination possible
  • eg
  • identify transsend(start,start) as valid

read(f)
start
has read
send
read(f)
bad
send
46
Optimization
Low-level Interface send ?' read
?' checksend ?' checkread ?' Axiom A
transsend(start,start)
Policy
High-level Interface
47
Optimization
  • Type-checker is simple but general
  • Typical optimizations
  • redundant check removal
  • loop invariant removal

loop ?instate(start). mov ecx, loop
jmp send start,start,By A send
??curr,?next,instate(?curr),transsend(?curr,?next
), ?next ?
bad.ecx ?P4.
48
Implementation
  • TALx86 implementation is sufficient for these
    encodings
  • includes polymorphism, higher-order type
    constructors, logical connectives (?,?,?),
    singleton types, ....
  • Lots more work to be done
  • axioms in module interfaces
  • policy compiler

49
Outline
  • Technology for improved reliability and security
  • Idea I certifying compilation
  • Idea II security via code instrumentation
  • Secure certifying compilation popl '00
  • Security automaton specifications
  • A certifying target language
  • Related work research directions

50
Research Directions
  • Design of policy languages
  • What kinds of logics can we compile certify?
  • Mawl Sandholm Schwartzbach
  • TALres Crary Weirich
  • Design of safety architecture
  • How do we "clean up" after halting a program?
  • Support for mutually distrustful agents
  • Policy-directed optimizations

51
Summary
  • A recipe for secure certified code
  • types
  • ensure basic safety without run-time overhead
  • add a logic to encode complex invariants
  • policy-directed code instrumentation
  • specify security policies independently of the
    rest of the system
  • use dynamic checking to enforce policies when
    they cant be proven statically
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