e492343ffd
* remove unused code * gofmt * remove junk file * bring back metrics-related functions * bring back keymanager's code |
||
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.. | ||
deposit_corpus | ||
rpc_status_corpus | ||
testing | ||
voluntary_exit_corpus | ||
attestation_fuzz.go | ||
attester_slashing_fuzz.go | ||
block_fuzz.go | ||
block_header_fuzz.go | ||
BUILD.bazel | ||
common.go | ||
deposit_fuzz.go | ||
generated.ssz.go | ||
inputs.go | ||
proposer_slashing_fuzz.go | ||
README.md | ||
rpc_status_fuzz.go | ||
voluntary_exit_fuzz.go |
Prysm Fuzz Testing
Adding a fuzz test
Fuzz testing attempts to find crash level bugs within the tested code paths, but could also be used as a sanity check certain logic.
1) Determining an ideal target
A fuzz test inputs pseudo-random data to a given method and attempts to find input data that tests as many code branches as possible. When choosing a target to test, consider that the method under test should be as stateless as possible. While stateful methods (i.e. methods that use a cache), can be tested, they are often hard to reproduce in a regression test. Consider disabling any caches or persistence layers if possible.
2) Writing a fuzz test
First, you need to determine in your input data. The current test suite uses SSZ encoded bytes to deserialize to input objects.
Example: Block header input data
type InputBlockHeader struct {
StateID uint16
Block *ethpb.BeaconBlock
}
You'll also want to add that struct to //fuzz:ssz_generated_files
to generate the custom fast SSZ
methods for serialization to improve test performance.
Your fuzz test must accept a single argument of type []byte
. The return types are ignored by
libfuzzer, but might be useful for other applications such as
beacon-fuzz. Be sure to name your test file with the
_fuzz.go
suffix for consistency.
func MyExampleFuzz(b []byte) {
input := &MyFuzzInputData{}
if err := ssz.Unmarshal(b, input); err != nil {
return // Input bytes doesn't serialize to input object.
}
result, err := somePackage.MethodUnderTest(input)
if err != nil {
// Input was invalid for processing, but the method didn't panic so that's OK.
return
}
// Optional: sanity check the resulting data.
if result < 0 {
panic("MethodUnderTest should never return a negative number") // Fail!
}
}
3) Add your fuzz target to fuzz/BUILD.bazel
Since we are using some custom rules to generate the fuzz test instrumentation and appropriate libfuzz testing suite, we cannot rely on gazelle to generate these targets for us.
go_fuzz_test(
name = "example_fuzz_test",
srcs = [
"example_fuzz.go",
] + COMMON_SRCS, # common and input type files.
corpus = "example_corpus",
corpus_path = "fuzz/example_corpus", # Path from root of project
func = "MyExampleFuzz",
importpath = IMPORT_PATH,
deps = [
# Deps used in your fuzz test.
] + COMMON_DEPS,
)
Be sure to add your target to the test suite at //fuzz:fuzz_tests
.
4) Run your fuzz test
To run your fuzz test you must manually target it with bazel test and run with the config flag
--config=fuzz
.
bazel test //fuzz:example_fuzz_test --config=fuzz
Running fuzzit regression tests
To run fuzzit regression tests, you can run the fuzz test suite with the 1--config=fuzzit` configuration flag. Note: This requires docker installed on your machine. See fuzzitdev/fuzzit#58.
bazel test //fuzz:fuzz_tests --config=fuzzit
If the same command above is run with the FUZZIT_API_KEY environment variable set, then the fuzzit test targets will be uploaded and restarted at https://app.fuzzit.dev.