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224 lines
8.3 KiB
Markdown
224 lines
8.3 KiB
Markdown
# Cryptol, version 2
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This version of Cryptol is (C) 2013-2014 Galois, Inc., and
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distributed under a standard, three-clause BSD license. Please see
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the file LICENSE, distributed with this software, for specific
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terms and conditions.
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# What is Cryptol?
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The Cryptol specification language was designed by Galois for the
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NSA's Trusted Systems Research Group as a public standard for
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specifying cryptographic algorithms. A Cryptol reference specification
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can serve as the formal documentation for a cryptographic module.
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Unlike current specification mechanisms, Cryptol is fully executable,
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allowing designers to experiment with their programs incrementally as
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their designs evolve.
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This release is an interpreter for version 2 of the Cryptol
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language. The interpreter includes a `:check` command, which tests
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predicates written in Cryptol against randomly-generated test vectors
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(in the style of
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[QuickCheck](http://hackage.haskell.org/package/QuickCheck). There is
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also a `:prove` command, which calls out to SMT solvers, such as
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Yices, Z3, or CVC4, to prove predicates for all possible inputs.
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# Getting Cryptol Binaries
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Cryptol binaries for Mac OS X, Linux, and Windows are available from
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the GitHub
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[releases page](https://github.com/GaloisInc/cryptol/releases). Mac OS
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X and Linux binaries are distributed as a tarball which you can
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extract to a location of your choice. Windows binaries are distributed
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as an `.msi` installer package which places a shortcut to the Cryptol
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interpreter in the Start menu.
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## Getting CVC4
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Cryptol currently depends on the
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[CVC4 SMT solver](http://cvc4.cs.nyu.edu/) to solve constraints during
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type checking, and as the default solver for the `:sat` and `:prove`
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commands. You can download CVC4 binaries for a variety of platforms
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from their [download page](http://cvc4.cs.nyu.edu/downloads/).
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# Building Cryptol From Source
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In addition to the binaries, the Cryptol source is available publicly
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on [GitHub](https://github.com/GaloisInc/cryptol).
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Cryptol builds and runs on various flavors of Linux, Mac OS X, and
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Windows. We regularly build and test it in the following environments:
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- Mac OS X 10.9 64-bit
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- CentOS 5 32/64-bit
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- CentOS 6 32/64-bit
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- Windows XP 32-bit
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## Prerequisites
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Cryptol is developed using GHC 7.6.3 and cabal-install 1.18. While you
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can install these independently, the easiest way to get the correct
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versions is to:
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1. Install [Haskell Platform 2013.2.0.0](http://www.haskell.org/platform/)
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**Mac Users**: the current version of the Haskell Platform has
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some incompatibilities with Mac OS X 10.9; it is easier to install
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GHC, cabal-install, alex, and happy from
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[MacPorts](https://www.macports.org/) or
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[Homebrew](http://brew.sh/).
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1. Run `cabal update`
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1. Run `cabal install cabal-install`
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1. Add cabal-install's binary path to your `PATH` variable (usually `~/.cabal/bin`)
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Some supporting non-Haskell libraries are required to build
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Cryptol. Most should already be present for your operating system, but
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you may need to install the following:
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- [The GNU Multiple Precision Arithmetic Library (GMP)](https://gmplib.org/)
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- [ncurses](https://www.gnu.org/software/ncurses/)
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You'll also need [CVC4](#getting-cvc4) installed when running Cryptol.
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## Building Cryptol
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From the Cryptol source directory, run:
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make
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This will build Cryptol in place. From there, there are additional targets:
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- `make test`: run the regression test suite (note: 4 failures is expected)
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- `make docs`: build the Cryptol documentation (requires
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[pandoc](http://johnmacfarlane.net/pandoc/) and
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[TeX Live](https://www.tug.org/texlive/))
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- `make tarball`: build a tarball with a relocatable Cryptol binary and documentation
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- `make dist`: build a platform-specific distribution. On all
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platforms except Windows, this is currently equivalent to `make
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tarball`. On Windows, this will build an `.msi` package using
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[WiX Toolset 3.7](http://wixtoolset.org/), which must be installed
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separately.
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## Installing Cryptol
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Aside from the `docs` target, these will leave you with a Cryptol
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binary at `.cabal-sandbox/bin/cryptol` in your source directory. You
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can either use that binary directly, or use the results of `tarball`
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or `dist` to install Cryptol in a location of your choice.
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# Checking your Installation
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Run Cryptol, and at the prompt type:
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Cryptol> :prove True
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If Cryptol responds
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Q.E.D.
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then Cryptol is installed correctly. If it prints something like
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*** An error occurred.
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*** Unable to locate executable for cvc4
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*** Executable specified: "cvc4"
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then make sure you've installed [CVC4](#getting-cvc4), and that the
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binary is on your `PATH`.
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As noted above, `make test` currently results in four failures. An issue has been filed on GitHub for each of them.
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# Contributing
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We believe that anyone who uses Cryptol is making an important
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contribution toward making Cryptol a better tool. There are many ways
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to get involved.
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## Users
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If you write Cryptol programs that you think would benefit the
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community, fork the GitHub repository, and add them to the
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`examples/contrib` directory and submit a pull request.
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We host a Cryptol mailing list, which
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you can [join here](http://community.galois.com/mailman/listinfo/cryptol-users).
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If you run into a bug in Cryptol, if something doesn't make sense in
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the documentation, if you think something could be better, or if you
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just have a cool use of Cryptol that you'd like to share with us, use
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the issues page on [GitHub](https://github.com/GaloisInc/cryptol), or
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send email to <cryptol@galois.com>.
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## Developers
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If you plan to do development work on the Cryptol interpreter, please
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make a fork of the GitHub repository and send along pull
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requests. This makes it easier for us to track development and to
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incorporate your changes.
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### Repository Structure
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- `/cryptol`: Haskell sources for the front-end `cryptol` executable
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and read-eval-print loop
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- `/docs`: LaTeX and Markdown sources for the Cryptol documentation
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- `/examples`: Cryptol sources implementing several interesting
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algorithms
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- `/lib`: Cryptol standard library sources
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- `/notebook`: Experimental Cryptol IPython Notebook implementation
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- `/sbv`: Haskell sources for the `sbv` library, derived from Levent
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Erkok's [`sbv` library](http://leventerkok.github.io/sbv/) (see
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`/sbv/LICENSE`)
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- `/src`: Haskell sources for the `cryptol` library (the bulk of the
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implementation)
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- `/tests`: Haskell sources for the Cryptol regression test suite, as
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well as the Cryptol sources and expected outputs that comprise that
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suite
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# Where to Look Next
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The `docs` directory of the installation package contains an
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introductory book, the `examples` directory contains a number of
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algorithms specified in Cryptol.
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If you are familiar with version 1 of Cryptol, you should read the
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`Version2Changes` document in the `docs` directory.
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Cryptol is still under active development at Galois. We are also
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building tools that consume both Cryptol specifications and
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implementations in (for example) C or Java, and can (with some amount
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of work) allow you to verify that an implementation meets its
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specification. Email us at <cryptol@galois.com> if you're interested
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in these capabilities.
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# Thanks!
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We hope that Cryptol is useful as a tool for educators and students,
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commercial and open source authors of cryptographic implementations,
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and by cryptographers to
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* specify cryptographic algorithms
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* check or prove properties of algorithms
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* generate test vectors for testing implementations
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* experiment with new algorithms
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## Acknowledgements
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Cryptol has been under development for over a decade with many people
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contributing to its design and implementation. Those people include
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(but are not limited to) Iavor Diatchki, Aaron Tomb, Adam Wick, Brian
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Huffman, Dylan McNamee, Joe Kiniry, John Launchbury, Matt Sottile,
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Adam Foltzer, Joe Hendrix, Trevor Elliott, Lee Pike, Mark Tullsen,
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Levent Erkök, David Lazar, Joel Stanley, Jeff Lewis, Andy Gill, Edward
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Yang, Ledah Casburn, Jim Teisher, Sigbjørn Finne, Mark Shields, Philip
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Weaver, Magnus Carlsson, Fergus Henderson, Joe Hurd, Thomas Nordin,
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John Matthews and Sally Browning. In addition, much of the work on
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Cryptol has been funded by, and lots of design input was provided by
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the team at the
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[NSA's Trusted Systems Research Group](http://www.nsa.gov/research/ia_research/),
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including Brad Martin, Frank Taylor and Sean Weaver.
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