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Getting Started: Running an Analysis
In the following we describe how PhASAR's commandline tool can be used to perform data-flow analyses.
PhASAR's built-in analyses can be selected using the -D
or --analysis
command-line option.
Note: more than one analysis can be selected to be executed on the code under analysis.
Example:
$ phasar-cli -m module.ll -D ifds-solvertest
$ phasar-cli -m module.ll -D ifds-uninit
If no analysis is selected only the call-graph and other supported data structures are created.
If a call using -D None
fails, there is definitely an error within the code or project under
analysis or within the PhASAR framework (which is obviously worse). In either way please report the errors
with the target code that triggers those errors.
Currently the following built-in analyses are available in PhASAR:
DataFlowAnalysisType | CLI Parameter | Description |
---|---|---|
DataFlowAnalysisType::IFDSConstAnalysis |
ifds-const | Determine, which variables are mutated and therefore cannot be considered 'constant' |
DataFlowAnalysisType::IFDSUninitializedVariables |
ifds-uninit | Find usages of uninitialized variables. |
DataFlowAnalysisType::IFDSTaintAnalysis |
ifds-taint | Simple, alias-aware taint-analysis. Use with --analysis-config |
DataFlowAnalysisType::IDEExtendedTaintAnalysis |
ide-xtaint | More advanced alias-aware taint analysis that provides limited field-sensitivity. Use with --analysis-config |
DataFlowAnalysisType::IFDSTypeAnalysis |
ifds-type | Simple type analysis |
DataFlowAnalysisType::IDECSTDIOTypeStateAnalysis |
ide-stdio-ts | Find invalid usages of the libc file-io |
DataFlowAnalysisType::IDEOpenSSLTypeStateAnalysis |
ide-openssl-ts | Find invalid usages of a subset of the OpenSSL EVP library |
DataFlowAnalysisType::IFDSSolverTest |
ifds-solvertest | Empty analysis. Just to see that the IFDS solver works |
DataFlowAnalysisType::IFDSFieldSensTaintAnalysis |
ifds-fstaint | Specialized taint analysis for tracing environment variables (deprecated) |
DataFlowAnalysisType::IDELinearConstantAnalysis |
ide-lca | Simple linear constant propagation |
DataFlowAnalysisType::IDESolverTest |
ide-solvertest | Empty analysis. Just to see that the IDE solver works |
DataFlowAnalysisType::IDEInstInteractionAnalysis |
ide-iia | Which instruction has influence on which other instructions? |
DataFlowAnalysisType::IntraMonoFullConstantPropagation |
intra-mono-fca | Simple constant propagation without the restriction to linear binary operations. Only works inTRA-procedurally |
DataFlowAnalysisType::IntraMonoSolverTest |
intra-mono-solvertest | Empty analysis. Just to see that the intraprocedural monotone solver works |
DataFlowAnalysisType::InterMonoSolverTest |
inter-mono-solvertest | Empty analysis. Just to see that the interprocedural monotone solver works |
DataFlowAnalysisType::InterMonoTaintAnalysis |
inter-mono-taint | Simple taint analysis using the monotone framework with k-limited call-strings. Use ifds-taint or ide-xtaint instead. |
PhASAR provides a stable command line interface (CLI). The help command displays all the parameters supported by PhASAR.
$ phasar-cli --help
$ phasar-cli --help-hidden
The analyses of PhASAR run on LLVM IR code rather than the source code. In order to run some analysis on your code, you need to translate it into LLVM IR first.
In order to translate a short C/C++ code into the LLVM IR, you can use the LLVM compiler tool chain. The following command calls the clang
compiler to emit the LLVM IR from C++ code.
$ clang++ -emit-llvm -S -fno-discard-value-names main.cpp
After running this command a file named main.ll
can be found within the current directory.
The file to be analyzed by our framework can be specified using the -m
flag. PhASAR starts the analysis at the very first instruction of the main()
function by default.
An example call to an analysis is:
$ phasar-cli -m path/to/your/main.ll -D ifds-solvertest
In the case of analyzing a complex project you can use the WLLVM compiler wrapper. For details on whole-program analysis, consult Whole-Program-Analysis-(using-WLLVM).
You can find some concrete examples of the whole process of running some analysis on some code, in more details, here.
PhASAR typically analyzes LLVM IR, mo matter whether it contains debug-info metadata, or not.
Some analyses, however, make use of debug info in order to improve their results representation.
So, for example the linear constant analysis (ide-lca
) is able to associate constant values to concrete variables present in the source code if debug info is available.
Hence, to improve your experience with PhASAR's analysis results, it may be useful to analyze LLVM IR with embedded debug info.
- Home
- Reference Material
- Getting Started:
- Building PhASAR
- Using PhASAR with Docker
- A few uses of PhASAR
- Coding Conventions
- Contributing to PhASAR
- Errors and bug reporting
- Update to Newer LLVM Versions
- OS Support