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habibitcoin 0b1e881d18 scripted-diff: replace ⛰ emoji with $ [skip ci]

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2022-10-28 12:06:49 -04:00

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Fuzzing LND

The fuzz package is organized into subpackages which are named after the lnd package they test. Each subpackage has its own set of fuzz targets.

Setup and Installation

This section will cover setup and installation of the fuzzing binaries.

The following is a command to build all fuzzing harnesses:

$  make fuzz-build

This may take a while since this will create zip files associated with each fuzzing target.
The following is a command to run all fuzzing harnesses for 30 seconds:

$  make fuzz-run

go-fuzz will print out log lines every couple of seconds. Example output:

2017/09/19 17:44:23 workers: 8, corpus: 23 (3s ago), crashers: 1, restarts: 1/748, execs: 400690 (16694/sec), cover: 394, uptime: 24s

Corpus is the number of items in the corpus. go-fuzz may add valid inputs to the corpus in an attempt to gain more coverage. Crashers is the number of inputs resulting in a crash. The inputs, and their outputs are logged by default in: fuzz/<package>/<harness>/crashers. go-fuzz also creates a suppressions directory of stacktraces to ignore so that it doesn't create duplicate stacktraces. Cover is a number representing edge coverage of the program being fuzzed.

Options

Several parameters can be appended to the end of the make commands to tune the build process or the way the fuzzer runs.

run_time specifies how long each fuzz harness runs for. The default is 30 seconds.
timeout specifies how long an individual testcase can run before raising an error. The default is 20 seconds.
processes specifies the number of parallel processes to use while running the harnesses.
pkg specifies the lnd packages to build or fuzz. The default is to build and run all available packages (brontide lnwire wtwire zpay32). This can be changed to build/run against individual packages.
base_workdir specifies the workspace of the fuzzer. This folder will contain the corpus, crashers, and suppressions.

Corpus

Fuzzing generally works best with a corpus that is of minimal size while achieving the maximum coverage. go-fuzz automatically minimizes the corpus in-memory before fuzzing so a large corpus shouldn't make a difference.

Disclosure

If you find any crashers that affect LND security, please disclose with the information found here.

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