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# OptiMin
OptiMin is a corpus minimizer that uses a
[MaxSAT](https://en.wikipedia.org/wiki/Maximum_satisfiability_problem) solver
to identify a subset of functionally distinct files that exercise different code
paths in a target program.
Unlike most corpus minimizers, such as `afl-cmin`, OptiMin does not rely on
heuristic and/or greedy algorithms to identify these functionally distinct
files. This means that minimized corpora are generally much smaller than those
produced by other tools.
## Usage
To build the `optimin` executable (when cloned from github):
```bash
# Ensure EvalMaxSAT is available
git submodule init
git submodule update
mkdir build
cd build
# You may have to specify -DLLVM_DIR=`llvm-config --cmakedir` if you have a
# non-standard LLVM install (e.g., install via apt)
cmake ..
make -j
make install
```
Otherwise, run the `build_optimin.sh` script. Running `optimin` is the same as
running `afl-cmin`.
### Weighted Minimizations
OptiMin allows for weighted minimizations. For examples, seeds can be weighted
by file size (or execution time), thus preferencing the selection of smaller (or
faster) seeds.
To perform a weighted minimization, supply a CSV file with the `-w` option. This
CSV file is formatted as follows:
```
SEED_1,WEIGHT_1
SEED_2,WEIGHT_2
...
SEED_N,WEIGHT_N
```
Where `SEED_N` is the file name (**not** path) of a seed in the input directory,
and `WEIGHT_N` is an integer weight.
## Further Details and Citation
For more details, please see the paper [Seed Selection for Successful
Fuzzing](https://dl.acm.org/doi/10.1145/3460319.3464795). If you use OptiMin in
your research, please cite this paper.
Bibtex:
```bibtex
@inproceedings{Herrera:2021:FuzzSeedSelection,
author = {Adrian Herrera and Hendra Gunadi and Shane Magrath and Michael Norrish and Mathias Payer and Antony L. Hosking},
title = {Seed Selection for Successful Fuzzing},
booktitle = {30th ACM SIGSOFT International Symposium on Software Testing and Analysis},
series = {ISSTA},
year = {2021},
pages = {230--243},
numpages = {14},
location = {Virtual, Denmark},
publisher = {Association for Computing Machinery},
}
```
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