GaloisInc / saw-script

The SAW scripting language.
BSD 3-Clause "New" or "Revised" License
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SAWScript

This repository contains the code for SAWScript, the scripting language that forms the primary user interface to the Software Analysis Workbench (SAW). It provides the ability to reason about formal models describing the denotation of programs written in languages such as C, Java, and Cryptol. It also provides experimental, incomplete support for the Rust language.

Documentation

There are two SAWScript tutorials that give an introduction to using the SAWScript interpreter:

There is also a longer manual that describes the breadth of SAWScript's features.

Precompiled Binaries

Precompiled SAWScript binaries for a variety of platforms are available on the releases page.

Getting Z3

SAW can use many theorem provers, but because of its use of Cryptol it always needs to have Microsoft Research's Z3 SMT solver installed. You can download Z3 binaries for a variety of platforms from their releases page.

We currently recommend Z3 4.8.10. If you plan to use path satisfiability checking, you'll also need Yices version 2.6.1 or newer.

After installation, make sure that z3 (or z3.exe on Windows) is on your PATH.

Manual Installation

To build SAWScript and related utilities from source:

Notes on LLVM

SAW can analyze LLVM programs (usually derived from C, but potentially for other languages). The only tool strictly required for this is a compiler that can generate LLVM bitcode, such as clang. However, having the full LLVM tool suite available can be useful. We have tested SAW with LLVM and clang versions from 3.5 to 16.0, as well as the version of clang bundled with Apple Xcode. We welcome bug reports on any failure to parse bitcode from LLVM versions in that range.

Note that successful parsing doesn't necessarily mean that verification will be possible for all language constructs. There are various instructions that are not supported during verification. However, any failure during llvm_load_module should be considered a bug.

Notes on Rust

SAW has experimental support for analyzing Rust programs. To do so, one must compile Rust code using mir-json, a tool which compiles Rust code to a machine-readable, JSON-based format. Note that:

For complete instructions on how to install mir-json, the modified Rust standard libraries, and how to defined the SAW_RUST_LIBRARY_PATH environment variable, follow the instructions here.

Notes on Windows

If you have trouble loading the SAW REPL on Windows, try invoking it with the --no-color option.

Related Packages

Many dependencies are automatically downloaded into deps/ when you build using build.sh; see Manual Installation above. Key automatically downloaded dependencies include:

For SAW developers

Presently, the saw-script main executable cannot be loaded into GHCi due to a linker issue. However, the rest of the library can be manipulated in GHCi, with a little convincing.

If you are using cabal to build, select the saw-script target:

$ cabal new-repl saw-script

In order to use interactive tools like intero, you need to configure them with this target. You can configure intero-mode in Emacs to use the saw-script library target by setting the variable intero-targets to the string "saw-script:lib". To make this setting persistent for all files in this project, place the following snippet in the file src/.dir-locals.el:

((haskell-mode
  (intero-targets "saw-script:lib")))

Notes on Freeze Files

We use the cabal.GHC-*.config files to constrain dependency versions in CI, and recommend using the following command for best results before building locally:

ln -s cabal.GHC-<VER>.config cabal.project.freeze

These configuration files were generated using cabal freeze, but with some manual changes to allow cross-platfom builds, since Unix-like systems and Windows systems end up with different package dependencies. Specifically, we remove lines for the following packages or flags:

cryptol-saw-core
regex-posix
saw-remote-api
saw-script
tasty +unix
unix
unix-compat
unix-time

Acknowledgements

Much of the work on SAW has been funded by, and lots of design input was provided by the team at the NSA's Laboratory for Advanced Cybersecurity Research, including Brad Martin, Frank Taylor, and Sean Weaver.

Portions of SAW are also based upon work supported by the Office of Naval Research under Contract No. N68335-17-C-0452. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Office of Naval Research.