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authorNick Mathewson <nickm@torproject.org>2017-01-27 11:16:23 -0500
committerNick Mathewson <nickm@torproject.org>2017-01-30 08:37:27 -0500
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tree30ed6c8ae1f20ff2bd7e37be07c7a12e67e588c9 /doc/HACKING/Fuzzing.md
parent2202ad7ab0132ed5505067aca9020caa05c918fd (diff)
downloadtor-d71fc474385281453eaa93522479d32af85c94ef.tar.gz
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Update documentation and testing integration for fuzzing
Diffstat (limited to 'doc/HACKING/Fuzzing.md')
-rw-r--r--doc/HACKING/Fuzzing.md63
1 files changed, 45 insertions, 18 deletions
diff --git a/doc/HACKING/Fuzzing.md b/doc/HACKING/Fuzzing.md
index 36f0fc4f5e..f5502b3307 100644
--- a/doc/HACKING/Fuzzing.md
+++ b/doc/HACKING/Fuzzing.md
@@ -1,12 +1,53 @@
= Fuzzing Tor
+== The simple version (no fuzzing, only tests)
+
+Check out fuzzing-corpora, and set TOR_FUZZ_CORPORA to point to the place
+where you checked it out.
+
To run the fuzzing test cases in a deterministic fashion, use:
make fuzz
- [I've turned this off for now. - NM]
-To build the fuzzing harness binaries, use:
- make fuzzers
+== Different kinds of fuzzing
+
+Right now we support three different kinds of fuzzer.
+
+First, there's American Fuzzy Lop (AFL), a fuzzer that works by forking
+a target binary and passing it lots of different inputs on stdin. It's the
+trickiest one to set up, so I'll be describing it more below.
+
+Second, there's libFuzzer, a llvm-based fuzzer that you link in as a library,
+and it runs a target function over and over. To use this one, you'll need to
+have a reasonably recent clang and libfuzzer installed. At that point, you
+just build with --enable-expensive-hardening and --enable-libfuzzer. That
+will produce a set of binaries in src/test/fuzz/lf-fuzz-* . These programs
+take as input a series of directories full of fuzzing examples. For more
+information on libfuzzer, see http://llvm.org/docs/LibFuzzer.html
+
+Third, there's Google's OSS-Fuzz infrastructure, which expects to get all of
+its. For more on this, see https://github.com/google/oss-fuzz and the
+projects/tor subdirectory. You'll need to mess around with Docker a bit to
+test this one out; it's meant to run on Google's infrastructure.
+
+In all cases, you'll need some starting examples to give the fuzzer when it
+starts out. There's a set in the "fuzzing-corpora" git repository. Try
+setting TOR_FUZZ_CORPORA to point to a checkout of that repository
+
+== Writing Tor fuzzers
+
+A tor fuzzing harness should have:
+* a fuzz_init() function to set up any necessary global state.
+* a fuzz_main() function to receive input and pass it to a parser.
+* a fuzz_cleanup() function to clear global state.
+
+Most fuzzing frameworks will produce many invalid inputs - a tor fuzzing
+harness should rejecting invalid inputs without crashing or behaving badly.
+
+But the fuzzing harness should crash if tor fails an assertion, triggers a
+bug, or accesses memory it shouldn't. This helps fuzzing frameworks detect
+"interesting" cases.
+
== Guided Fuzzing with AFL
@@ -47,7 +88,7 @@ don't care about memory limits.
To Run:
mkdir -p src/test/fuzz/fuzz_http_findings
- ../afl/afl-fuzz -i src/test/fuzz/data/http -x src/test/fuzz/dict/http -o src/test/fuzz/fuzz_http_findings -m <asan-memory-limit> -- src/test/fuzz_dir
+ ../afl/afl-fuzz -i ${TOR_FUZZ_CORPORA}/http -o src/test/fuzz/fuzz_http_findings -m <asan-memory-limit> -- src/test/fuzz_dir
AFL has a multi-core mode, check the documentation for details.
@@ -57,20 +98,6 @@ macOS (OS X) requires slightly more preparation, including:
* using afl-clang (or afl-clang-fast from the llvm directory)
* disabling external crash reporting (AFL will guide you through this step)
-== Writing Tor fuzzers
-
-A tor fuzzing harness should have:
-* a fuzz_init() function to set up any necessary global state.
-* a fuzz_main() function to receive input and pass it to a parser.
-* a fuzz_cleanup() function to clear global state.
-
-Most fuzzing frameworks will produce many invalid inputs - a tor fuzzing
-harness should rejecting invalid inputs without crashing or behaving badly.
-
-But the fuzzing harness should crash if tor fails an assertion, triggers a
-bug, or accesses memory it shouldn't. This helps fuzzing frameworks detect
-"interesting" cases.
-
== Triaging Issues
Crashes are usually interesting, particularly if using AFL_HARDEN=1 and --enable-expensive-hardening. Sometimes crashes are due to bugs in the harness code.