openssl/fuzz

I Can Haz Fuzz?

LibFuzzer

Or, how to fuzz OpenSSL with libfuzzer.

Starting from a vanilla+OpenSSH server Ubuntu install.

Use Chrome's handy recent build of clang. Older versions may also work.

$ sudo apt-get install git
$ mkdir git-work
$ git clone https://chromium.googlesource.com/chromium/src/tools/clang
$ clang/scripts/update.py

You may want to git pull and re-run the update from time to time.

Update your path:

$ PATH=~/third_party/llvm-build/Release+Asserts/bin/:$PATH

Get and build libFuzzer (there is a git mirror at https://github.com/llvm-mirror/llvm/tree/master/lib/Fuzzer if you prefer):

$ cd
$ sudo apt-get install subversion
$ mkdir svn-work
$ cd svn-work
$ svn co http://llvm.org/svn/llvm-project/llvm/trunk/lib/Fuzzer
$ cd Fuzzer
$ clang++ -c -g -O2 -std=c++11 *.cpp
$ ar r libFuzzer.a *.o
$ ranlib libFuzzer.a

Configure for fuzzing:

$ CC=clang ./config enable-fuzz-libfuzzer \
        --with-fuzzer-include=../../svn-work/Fuzzer \
        --with-fuzzer-lib=../../svn-work/Fuzzer/libFuzzer \
        -DPEDANTIC enable-asan enable-ubsan no-shared \
        -DFUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION \
        -fsanitize-coverage=edge,indirect-calls,8bit-counters \
        enable-ec_nistp_64_gcc_128 -fno-sanitize=alignment enable-tls1_3 \
        enable-weak-ssl-ciphers enable-rc5 enable-md2 \
        enable-ssl3 enable-ssl3-method enable-nextprotoneg \
        --debug
$ sudo apt-get install make
$ LDCMD=clang++ make -j
$ fuzz/helper.py $FUZZER

Where $FUZZER is one of the executables in fuzz/.

If you get a crash, you should find a corresponding input file in fuzz/corpora/$FUZZER-crash/.

AFL

Configure for fuzzing:

$ sudo apt-get install afl-clang
$ CC=afl-clang-fast ./config enable-fuzz-afl no-shared -DPEDANTIC \
    enable-tls1_3 enable-weak-ssl-ciphers enable-rc5 enable-md2 \
    enable-ssl3 enable-ssl3-method enable-nextprotoneg \
    enable-ec_nistp_64_gcc_128 -fno-sanitize=alignment \
    --debug
$ make

The following options can also be enabled: enable-asan, enable-ubsan, enable-msan

Run one of the fuzzers:

$ afl-fuzz -i fuzz/corpora/$FUZZER -o fuzz/corpora/$FUZZER/out fuzz/$FUZZER

Where $FUZZER is one of the executables in fuzz/.

Reproducing issues

If a fuzzer generates a reproducible error, you can reproduce the problem using the fuzz/-test binaries and the file generated by the fuzzer. They binaries don't need to be build for fuzzing, there is no need to set CC or the call config with enable-fuzz- or -fsanitize-coverage, but some of the other options above might be needed. For instance the enable-asan or enable-ubsan option might be useful to show you when the problem happens. For the client and server fuzzer it might be needed to use -DFUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION to reproduce the generated random numbers.

To reproduce the crash you can run:

$ fuzz/$FUZZER-test $file

Random numbers

The client and server fuzzer normally generate random numbers as part of the TLS connection setup. This results in the coverage of the fuzzing corpus changing depending on the random numbers. This also has an effect for coverage of the rest of the test suite and you see the coverage change for each commit even when no code has been modified.

Since we want to maximize the coverage of the fuzzing corpus, the client and server fuzzer will use predictable numbers instead of the random numbers. This is controlled by the FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION define.

The coverage depends on the way the numbers are generated. We don't disable any check of hashes, but the corpus has the correct hash in it for the random numbers that were generated. For instance the client fuzzer will always generate the same client hello with the same random number in it, and so the server, as emulated by the file, can be generated for that client hello.

Coverage changes

Since the corpus depends on the default behaviour of the client and the server, changes in what they send by default will have an impact on the coverage. The corpus will need to be updated in that case.