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If we try to delete a non-existant file using del on Windows, as can happen when running make clean, del will throw an error. Make the Makefiles more robust by only deleting files if they exist. |
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.. | ||
corpuses | ||
.gitignore | ||
CMakeLists.txt | ||
common.c | ||
common.h | ||
fuzz_client.c | ||
fuzz_client.options | ||
fuzz_dtlsclient.c | ||
fuzz_dtlsclient.options | ||
fuzz_dtlsserver.c | ||
fuzz_dtlsserver.options | ||
fuzz_privkey.c | ||
fuzz_privkey.options | ||
fuzz_pubkey.c | ||
fuzz_pubkey.options | ||
fuzz_server.c | ||
fuzz_server.options | ||
fuzz_x509crl.c | ||
fuzz_x509crl.options | ||
fuzz_x509crt.c | ||
fuzz_x509crt.options | ||
fuzz_x509csr.c | ||
fuzz_x509csr.options | ||
Makefile | ||
onefile.c | ||
README.md |
What is it?
This directory contains fuzz targets. Fuzz targets are simple codes using the library. They are used with a so-called fuzz driver, which will generate inputs, try to process them with the fuzz target, and alert in case of an unwanted behavior (such as a buffer overflow for instance).
These targets were meant to be used with oss-fuzz but can be used in other contexts.
This code was contributed by Philippe Antoine ( Catena cyber ).
How to run?
To run the fuzz targets like oss-fuzz:
git clone https://github.com/google/oss-fuzz
cd oss-fuzz
python infra/helper.py build_image mbedtls
python infra/helper.py build_fuzzers --sanitizer address mbedtls
python infra/helper.py run_fuzzer mbedtls fuzz_client
You can use undefined
sanitizer as well as address
sanitizer.
And you can run any of the fuzz targets like fuzz_client
.
To run the fuzz targets without oss-fuzz, you first need to install one libFuzzingEngine (libFuzzer for instance). Then you need to compile the code with the compiler flags of the wished sanitizer.
perl scripts/config.pl set MBEDTLS_PLATFORM_TIME_ALT
mkdir build
cd build
cmake ..
make
Finally, you can run the targets like ./test/fuzz/fuzz_client
.
Corpus generation for network trafic targets
These targets use network trafic as inputs :
- client : simulates a client against (fuzzed) server traffic
- server : simulates a server against (fuzzed) client traffic
- dtls_client
- dtls_server
They also use the last bytes as configuration options.
To generate corpus for these targets, you can do the following, not fully automated steps :
- Build mbedtls programs ssl_server2 and ssl_client2
- Run them one against the other with
reproducible
option turned on while capturing trafic into test.pcap - Extract tcp payloads, for instance with tshark :
tshark -Tfields -e tcp.dstport -e tcp.payload -r test.pcap > test.txt
- Run a dummy python script to output either client or server corpus file like
python dummy.py test.txt > test.cor
- Finally, you can add the options by appending the last bytes to the file test.cor
Here is an example of dummy.py for extracting payload from client to server (if we used tcp.dstport
in tshark command)
import sys
import binascii
f = open(sys.argv[1])
for l in f.readlines():
portAndPl=l.split()
if len(portAndPl) == 2:
# determine client or server based on port
if portAndPl[0] == "4433":
print(binascii.unhexlify(portAndPl[1].replace(":","")))