Merge branch 'dev' into text_inputs

This commit is contained in:
van Hauser
2020-07-29 11:39:00 +02:00
committed by GitHub
35 changed files with 2794 additions and 357 deletions

View File

@ -1,5 +1,7 @@
# How to submit a Pull Request to AFLplusplus
All contributions (pull requests) must be made against our `dev` branch.
Each modified source file, before merging, must be formatted.
```
@ -18,5 +20,5 @@ No camel case at all and use the AFL's macros wherever possible
(e.g. WARNF, FATAL, MAP_SIZE, ...).
Remember that AFLplusplus has to build and run on many platforms, so
generalize your Makefiles (or your patches to our pre-existing Makefiles)
to be as much generic as possible.
generalize your Makefiles/GNUmakefile (or your patches to our pre-existing
Makefiles) to be as much generic as possible.

View File

@ -56,9 +56,11 @@ endif
ifneq "$(shell uname)" "Darwin"
ifeq "$(shell echo 'int main() {return 0; }' | $(CC) $(CFLAGS) -Werror -x c - -march=native -o .test 2>/dev/null && echo 1 || echo 0 ; rm -f .test )" "1"
ifndef SOURCE_DATE_EPOCH
#CFLAGS_OPT += -march=native
SPECIAL_PERFORMANCE += -march=native
endif
endif
# OS X does not like _FORTIFY_SOURCE=2
CFLAGS_OPT += -D_FORTIFY_SOURCE=2
endif
@ -96,7 +98,7 @@ ifneq "$(shell uname -m)" "x86_64"
endif
CFLAGS ?= -O3 -funroll-loops $(CFLAGS_OPT)
override CFLAGS += -Wall -g -Wno-pointer-sign -Wmissing-declarations\
override CFLAGS += -Wall -g -Wno-pointer-sign -Wmissing-declarations -Wno-unused-result \
-I include/ -DAFL_PATH=\"$(HELPER_PATH)\" \
-DBIN_PATH=\"$(BIN_PATH)\" -DDOC_PATH=\"$(DOC_PATH)\"
@ -458,7 +460,7 @@ code-format:
@#./.custom-format.py -i gcc_plugin/*.h
./.custom-format.py -i gcc_plugin/*.cc
./.custom-format.py -i custom_mutators/*/*.c
./.custom-format.py -i custom_mutators/*/*.h
@#./.custom-format.py -i custom_mutators/*/*.h # destroys input.h :-(
./.custom-format.py -i examples/*/*.c
./.custom-format.py -i examples/*/*.h
./.custom-format.py -i test/*.c

820
README.md
View File

@ -1,4 +1,4 @@
# american fuzzy lop plus plus (afl++)
# American Fuzzy Lop plus plus (afl++)
<img align="right" src="https://raw.githubusercontent.com/andreafioraldi/AFLplusplus-website/master/static/logo_256x256.png" alt="AFL++ Logo">
@ -8,61 +8,36 @@
Github Version: 2.66d
includes all necessary/interesting changes from Google's afl 2.56b
Originally developed by Michal "lcamtuf" Zalewski.
Repository: [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus)
afl++ is maintained by:
* Marc "van Hauser" Heuse <mh@mh-sec.de>,
* Heiko "hexcoder-" Eißfeldt <heiko.eissfeldt@hexco.de>,
* Andrea Fioraldi <andreafioraldi@gmail.com> and
* Dominik Maier <mail@dmnk.co>.
Note that although afl now has a Google afl repository [https://github.com/Google/afl](https://github.com/Google/afl),
it is unlikely to receive any notable enhancements: [https://twitter.com/Dor3s/status/1154737061787660288](https://twitter.com/Dor3s/status/1154737061787660288)
Originally developed by Michal "lcamtuf" Zalewski.
## The enhancements compared to the original stock afl
afl++ is a superiour fork to Google's afl - more speed, more and better
mutations, more and better instrumentation, custom module support, etc.
Many improvements were made over the official afl release - which did not
get any feature improvements since November 2017.
## Contents
Among other changes afl++ has a more performant llvm_mode, supports
llvm up to version 11, QEMU 3.1, more speed and crashfixes for QEMU,
better *BSD and Android support and much, much more.
1. [Features](#important-features-of-afl)
2. [How to compile and install afl++](#building-and-installing-afl)
3. [How to fuzz a target](#how-to-fuzz-with-afl)
4. [Fuzzing binary-only targets](#fuzzing-binary-only-targets)
5. [Good examples and writeups of afl++ usages](#good-examples-and-writeups)
6. [Branches](#branches)
7. [Want to help?](#help-wanted)
8. [Detailed help and description of afl++](#challenges-of-guided-fuzzing)
Additionally the following features and patches have been integrated:
## Important features of afl++
* AFLfast's power schedules by Marcel Böhme: [https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast)
* The new excellent MOpt mutator: [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL)
* InsTrim, a very effective CFG llvm_mode instrumentation implementation for large targets: [https://github.com/csienslab/instrim](https://github.com/csienslab/instrim)
* C. Holler's afl-fuzz Python mutator module and llvm_mode instrument file support: [https://github.com/choller/afl](https://github.com/choller/afl)
* Custom mutator by a library (instead of Python) by kyakdan
* Unicorn mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk)
* LAF-Intel or CompCov support for llvm_mode, qemu_mode and unicorn_mode
* NeverZero patch for afl-gcc, llvm_mode, qemu_mode and unicorn_mode which prevents a wrapping map value to zero, increases coverage
* Persistent mode and deferred forkserver for qemu_mode
* Win32 PE binary-only fuzzing with QEMU and Wine
* Radamsa mutator (as a custom mutator).
* QBDI mode to fuzz android native libraries via QBDI framework
* The new CmpLog instrumentation for LLVM and QEMU inspired by [Redqueen](https://www.syssec.ruhr-uni-bochum.de/media/emma/veroeffentlichungen/2018/12/17/NDSS19-Redqueen.pdf)
* LLVM mode Ngram coverage by Adrian Herrera [https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass)
A more thorough list is available in the [PATCHES](docs/PATCHES.md) file.
afl++ supports llvm up to version 12, very fast binary fuzzing with QEMU 3.1
with laf-intel and redqueen, unicorn mode, gcc plugin, full *BSD, Solaris and
Android support and much, much, much more.
| Feature/Instrumentation | afl-gcc | llvm_mode | gcc_plugin | qemu_mode | unicorn_mode |
| ----------------------- |:-------:|:---------:|:----------:|:----------------:|:------------:|
@ -75,23 +50,37 @@
| InsTrim | | x | | | |
| Ngram prev_loc coverage | | x(6) | | | |
| Context coverage | | x | | | |
| Auto dictionary | | x(7) | | | |
| Snapshot LKM support | | x | | (x)(5) | |
neverZero:
1. default for LLVM >= 9.0, env var for older version due an efficiency bug in llvm <= 8
2. GCC creates non-performant code, hence it is disabled in gcc_plugin
3. partially via AFL_CODE_START/AFL_CODE_END
4. with pcguard mode and LTO mode for LLVM >= 11
5. upcoming, development in the branch
6. not compatible with LTO instrumentation and needs at least LLVM >= 4.1
7. only in LTO mode with LLVM >= 11
(1) default for LLVM >= 9.0, env var for older version due an efficiency bug in llvm <= 8
Among others, the following features and patches have been integrated:
(2) GCC creates non-performant code, hence it is disabled in gcc_plugin
* NeverZero patch for afl-gcc, llvm_mode, qemu_mode and unicorn_mode which prevents a wrapping map value to zero, increases coverage
* Persistent mode and deferred forkserver for qemu_mode
* Unicorn mode which allows fuzzing of binaries from completely different platforms (integration provided by domenukk)
* The new CmpLog instrumentation for LLVM and QEMU inspired by [Redqueen](https://www.syssec.ruhr-uni-bochum.de/media/emma/veroeffentlichungen/2018/12/17/NDSS19-Redqueen.pdf)
* Win32 PE binary-only fuzzing with QEMU and Wine
* AFLfast's power schedules by Marcel Böhme: [https://github.com/mboehme/aflfast](https://github.com/mboehme/aflfast)
* The MOpt mutator: [https://github.com/puppet-meteor/MOpt-AFL](https://github.com/puppet-meteor/MOpt-AFL)
* LLVM mode Ngram coverage by Adrian Herrera [https://github.com/adrianherrera/afl-ngram-pass](https://github.com/adrianherrera/afl-ngram-pass)
* InsTrim, an effective CFG llvm_mode instrumentation implementation for large targets: [https://github.com/csienslab/instrim](https://github.com/csienslab/instrim)
* C. Holler's afl-fuzz Python mutator module and llvm_mode instrument file support: [https://github.com/choller/afl](https://github.com/choller/afl)
* Custom mutator by a library (instead of Python) by kyakdan
* LAF-Intel/CompCov support for llvm_mode, qemu_mode and unicorn_mode (with enhanced capabilities)
* Radamsa and hongfuzz mutators (as custom mutators).
* QBDI mode to fuzz android native libraries via QBDI framework
(3) partially via AFL_CODE_START/AFL_CODE_END
A more thorough list is available in the [PATCHES](docs/PATCHES.md) file.
(4) Only for LLVM >= 11 and not all targets compile
(5) upcoming, development in the branch
(6) not compatible with LTO instrumentation and needs at least LLVM >= 4.1
So all in all this is the best-of afl that is currently out there :-)
So all in all this is the best-of afl that is out there :-)
For new versions and additional information, check out:
[https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus)
@ -106,7 +95,7 @@
The following branches exist:
* [master/trunk](https://github.com/AFLplusplus/AFLplusplus/) : stable state of afl++ - it is synced from dev from time to
* [stable/trunk](https://github.com/AFLplusplus/AFLplusplus/) : stable state of afl++ - it is synced from dev from time to
time when we are satisfied with it's stability
* [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev) : development state of afl++ - bleeding edge and you might catch a
checkout which does not compile or has a bug. *We only accept PRs in dev!!*
@ -115,7 +104,7 @@
For releases, please see the [Releases](https://github.com/AFLplusplus/AFLplusplus/releases) tab.
## Google Summer of Code 2020 (and any other students and enthusiast developers)
## Help wanted
We are happy to be part of [Google Summer of Code 2020](https://summerofcode.withgoogle.com/organizations/5100744400699392/)! :-)
@ -140,7 +129,7 @@ hence afl-clang-lto is available!) or just pull directly from the docker hub:
docker pull aflplusplus/aflplusplus
docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus
```
This container is automatically generated when a push to master happens.
This image is automatically generated when a push to master happens.
You will find your target source code in /src in the container.
If you want to build afl++ yourself you have many options.
@ -151,11 +140,11 @@ sudo apt install build-essential libtool-bin python3-dev automake flex bison lib
make distrib
sudo make install
```
It is recommended to install the newest available gcc and clang and llvm-dev
It is recommended to install the newest available gcc, clang and llvm-dev
possible in your distribution!
Note that "make distrib" also builds llvm_mode, qemu_mode, unicorn_mode and
more. If you just want plain afl then do "make all", however compiling and
more. If you just want plain afl++ then do "make all", however compiling and
using at least llvm_mode is highly recommended for much better results -
hence in this case
@ -197,6 +186,472 @@ These build options exist:
e.g.: make ASAN_BUILD=1
## Good examples and writeups
Here are some good writeups to show how to effectively use AFL++:
* [https://aflplus.plus/docs/tutorials/libxml2_tutorial/](https://aflplus.plus/docs/tutorials/libxml2_tutorial/)
* [https://bananamafia.dev/post/gb-fuzz/](https://bananamafia.dev/post/gb-fuzz/)
* [https://securitylab.github.com/research/fuzzing-challenges-solutions-1](https://securitylab.github.com/research/fuzzing-challenges-solutions-1)
* [https://securitylab.github.com/research/fuzzing-software-2](https://securitylab.github.com/research/fuzzing-software-2)
* [https://securitylab.github.com/research/fuzzing-sockets-FTP](https://securitylab.github.com/research/fuzzing-sockets-FTP)
If you are interested in fuzzing structured data (where you define what the
structure is), these links have you covered:
* Superion for afl++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator)
* libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator)
* libprotobuf for old afl++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator)
If you find other good ones, please send them to us :-)
## How to fuzz with afl++
The following describes how to fuzz with a target if source code is available.
If you have a binary-only target please skip to [#Instrumenting binary-only apps](#Instrumenting binary-only apps)
Fuzzing source code is a two step process.
1. compile the target with a special compiler that prepares the target to be
fuzzed efficiently. This step is called "instrumenting a target".
2. Prepare the fuzzing by selecting and optimizing the input corpus for the
target.
3. perform the fuzzing of the target by randomly mutating input and assessing
if a generated input was processed in a new path in the target binary
### 1. Instrumenting that target
#### a) Selecting the best afl++ compiler for instrumenting the target
afl++ comes with different compilers and instrumentation options.
The following evaluation flow will help you to select the best possible.
It is highly recommended to have the newest llvm version possible installed,
anything below 9 is not recommended.
```
+--------------------------------+
| clang/clang++ 11+ is available | --> use afl-clang-lto and afl-clang-lto++
+--------------------------------+ see [llvm/README.lto.md](llvm/README.lto.md)
|
| if not, or if the target fails with with afl-clang-lto/++
|
v
+---------------------------------+
| clang/clang++ 3.3+ is available | --> use afl-clang-fast and afl-clang-fast++
+---------------------------------+ see [llvm/README.md](llvm/README.md)
|
| if not, or if the target fails with afl-clang-fast/++
|
v
+--------------------------------+
| if you want to instrument only | -> use afl-gcc-fast and afl-gcc-fast++
| parts of the target | see [gcc_plugin/README.md](gcc_plugin/README.md) and
+--------------------------------+ [gcc_plugin/README.instrument_file.md](gcc_plugin/README.instrument_file.md)
|
| if not, or if you do not have a gcc with plugin support
|
v
use afl-gcc and afl-g++
```
Clickable README links for the chosen compiler:
* [afl-clang-lto](llvm/README.lto.md)
* [afl-clang-fast](llvm/README.md)
* [afl-gcc-fast](gcc_plugin/README.md)
* afl-gcc has no README as it has no features
#### b) Selecting instrumentation options
The following options are available when you instrument with afl-clang-fast or
afl-clang-lto:
* Splitting integer, string, float and switch compares so afl++ can easier
solve these. This is an important option if you do not have a very good
good and large input corpus. This technique is called laf-intel or COMPCOV.
To use this set the following environment variable before compiling the
target: `export AFL_LLVM_LAF_ALL=1`
You can read more about this in [llvm/README.laf-intel.md](llvm/README.laf-intel.md)
* A different technique is to instrument the target so that any compare values
in the target are sent to afl++ which then tries to put this value into the
fuzzing data at different locations. This technique is very fast and good -
if the target does not transform input data before comparison. Therefore
technique is called `input to state` or `redqueen`.
If you want to use this technique, then you have to compile the target
twice, once specifically with/for this mode.
You can read more about this in [llvm_mode/README.cmplog.md](llvm_mode/README.cmplog.md)
If you use afl-clang-fast, afl-clang-lto or afl-gcc-fast you have the option to
selectivly only instrument parts of the target that you are interested in:
* To instrument only those parts of the target that you are interested in
create a file with all the filenames of the source code that should be
instrumented.
For afl-clang-lto and afl-gcc-fast - or afl-clang-fast if either the clang
version is < 7 or the CLASSIC instrumentation is used - just put one
filename per line, no directory information necessary, and set
`export AFL_LLVM_INSTRUMENT_FILE=yourfile.txt`
see [llvm_mode/README.instrument_file.md](llvm_mode/README.instrument_file.md)
For afl-clang-fast > 6.0 or if PCGUARD instrumentation is used then use the
llvm sancov allow-list feature: [http://clang.llvm.org/docs/SanitizerCoverage.html](http://clang.llvm.org/docs/SanitizerCoverage.html)
There are many more options and modes available however these are most of the
time less effective. See:
* [llvm_mode/README.ctx.md](llvm_mode/README.ctx.md)
* [llvm_mode/README.ngram.md](llvm_mode/README.ngram.md)
* [llvm_mode/README.instrim.md](llvm_mode/README.instrim.md)
* [llvm_mode/README.neverzero.md](llvm_mode/README.neverzero.md)
#### c) Modify the target
If the target has features that makes fuzzing more difficult, e.g.
checksums, HMAC etc. then modify the source code so that this is
removed.
This can even be done for productional source code be eliminating
these checks within this specific defines:
```
#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION
// say that the checksum or HMAC was fine - or whatever is required
// to eliminate the need for the fuzzer to guess the right checksum
return 0;
#endif
```
#### d) Instrument the target
In this step the target source code is compiled so that it can be fuzzed.
Basically you have to tell the target build system that the selected afl++
compiler is used. Also - if possible - you should always configure the
build system that the target is compiled statically and not dynamically.
How to do this is described below.
Then build the target. (Usually with `make`)
##### configure
For `configure` build systems this is usually done by:
`CC=afl-clang-fast CXX=afl-clang-fast++ ./configure --disable-shared`
Note that if you using the (better) afl-clang-lto compiler you also have to
AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as it is
described in [llvm/README.lto.md](llvm/README.lto.md)
##### cmake
For `configure` build systems this is usually done by:
`mkdir build; cd build; CC=afl-clang-fast CXX=afl-clang-fast++ cmake ..`
Some cmake scripts require something like `-DCMAKE_CC=... -DCMAKE_CXX=...`
or `-DCMAKE_C_COMPILER=... DCMAKE_CPP_COMPILER=...` instead.
Note that if you using the (better) afl-clang-lto compiler you also have to
AR to llvm-ar[-VERSION] and RANLIB to llvm-ranlib[-VERSION] - as it is
described in [llvm/README.lto.md](llvm/README.lto.md)
##### other build systems or if configure/cmake didn't work
Sometimes cmake and configure do not pick up the afl++ compiler, or the
ranlib/ar that is needed - because this was just not foreseen by the developer
of the target. Or they have non-standard options. Figure out if there is a
non-standard way to set this, otherwise set the build normally and edit the
generated build environment afterwards by hand to point to the right compiler
(and/or ranlib and ar).
#### d) Better instrumentation
If you just fuzz a target program as-is you are wasting a great opportunity for
much more fuzzing speed.
This requires the usage of afl-clang-lto or afl-clang-fast
This is the so-called `persistent mode`, which is much, much faster but
requires that you code a source file that is specifically calling the target
functions that you want to fuzz, plus a few specific afl++ functions around
it. See [llvm_mode/README.persistent_mode.md](llvm_mode/README.persistent_mode.md) for details.
Basically if you do not fuzz a target in persistent mode then you are just
doing it for a hobby and not professionally :-)
### 2. Preparing the fuzzing
As you fuzz the target with mutated input, having as diverse inputs for the
target as possible improves the efficiency a lot.
#### a) Collect inputs
Try to gather valid inputs for the target from wherever you can. E.g. if it
the PNG picture format try to find as many png files as possible, e.g. from
reported bugs, test suites, random downloads from the internet, unit test
case data - from all kind of PNG software.
If the input is not known files, you can also modify a target program to write
away normal data it receives and processes to a file and use these.
#### b) Making the input corpus unique
Use the afl++ tool `afl-cmin` to remove inputs from the corpus that do not
use a different paths in the target.
Put all files from step a) into one directory, e.g. INPUTS.
Put all the files from step a)
If the target program is to be called by fuzzing as `bin/target -d INPUTFILE`
the run afl-cmin like this:
`afl-cmin -i INPUTS -o INPUTS_UNIQUE -- bin/target -d @@`
Note that the INPUTFILE that the target program would read has to be set as `@@`.
If the target reads from stdin instead, just omit the `@@` as this is the
default.
#### b) Minimizing all corpus files
The shorter the input files are so that they still traverse the same path
within the target, the better the fuzzing will be. This is done with `afl-tmin`
however it is a long processes as this has to be done for every file:
```
mkdir input
cd INPUTS_UNIQUE
for i in *; do
afl-tmin -i "$i" -o "../input/$i" -- bin/target -d @@
done
```
This can also be parallelized, e.g. with `parallel`
#### c) done!
The INPUTS_UNIQUE/ directory from step a) - or even better if you minimized the
corpus in step b) then the files in input/ is then the input corpus directory
to be used in fuzzing! :-)
### Fuzzing the target
In this final step we fuzz the target.
There are not that many useful options to run the target - unless you want to
use many CPU cores/threads for the fuzzing, which will make the fuzzing much
more useful.
If you just use one CPU for fuzzing, then you are fuzzing just for fun and not
seriously :-)
#### a) running afl-fuzz
Before to do even a test run of afl-fuzz execute `sudo afl-system-config` (on
the host if you execute afl-fuzz in a docker container). This reconfigured the
system for optimal speed - which afl-fuzz checks and bails otherwise.
Set `export AFL_SKIP_CPUFREQ=1` for afl-fuzz to skip this if you cannot run
afl-system-config with root privileges on the host for whatever reason.
If you have an input corpus from step 2 then specify this directory with the `-i`
option. Otherwise create a new directory and create a file with any content
in there.
If you do not want anything special, the defaults are already the usual best,
hence all you need (from the example in 2a):
`afl-fuzz -i input -o output -- bin/target -d @@`
Note that the directory specified with -o will be created if it does not exist.
If you need to stop and re-start the fuzzing, use the same command line option
and switch the input directory with a dash (`-`):
`afl-fuzz -i - -o output -- bin/target -d @@`
Note that afl-fuzz enforces memory limits to prevent the system to run out
of memory. By default this is 50MB for a process. If this is too little for
the target (which can can usually see that afl-fuzz bails with the message
that it could not connect to the forkserver), then you can increase this
with the `-m` option, the value is in MB. To disable any memory limits
(beware!) set `-m 0` - which is usually required for ASAN compiled targets.
Adding a dictionary helpful. See the [dictionaries/](dictionaries/) if
something is already included for your data format, and tell afl-fuzz to load
that dictionary by adding `-x dicationaries/FORMAT.dict`. With afl-clang-lto
you have an autodictionary generation for which you need to do nothing except
to use afl-clang-lto as the compiler. You also have the option to generate
a dictionary yourself, see [libtokencap/README.md](libtokencap/README.md)
afl-fuzz has a variety of options that help to workaround target quirks like
specific locations for the input file (`-f`), not performing deterministic
fuzzing (`-d`) and many more. Check out `afl-fuzz -h`.
afl-fuzz never stops fuzzing. To terminate afl++ simply press Control-C.
When you start afl-fuzz you will see a user interface that shows what the status
is:
![docs/screenshot.png](docs/screenshot.png)
All labels are explained in [docs/status_screen.md](docs/status_screen.md)
#### b) Using multiple cores/threads
If you want to seriously fuzz then use as many cores/threads as possible to
fuzz your target.
On the same machine - due to the nature how afl++ works - there is a maximum
number of CPU cores/threads that are useful, more and the overall performance
degrades instead. This value depends on the target and the limit is between 48
and 96 cores/threads per machine.
There should be one main fuzzer (`-M main` option) and as many secondary
fuzzers (eg `-S variant1`) as you cores that you use.
Every -M/-S entry needs a unique name (that can be whatever), however the same
-o output directory location has to be used for all.
For every secondary there should be a variation, e.g.:
* one should fuzz the target that was compiled differently: with sanitizers
activated (`export AFL_USE_ASAN=1 ; export AFL_USE_UBSAN=1 ;
export AFL_USE_CFISAN=1 ; `
* one should fuzz the target with CMPLOG/redqueen (see above)
* At 1-2 should fuzz a target compiled with laf-intel/COMPCOV (see above).
All other secondaries should be:
* 1/2 with MOpt option enabled: `-L 0`
* run with a different power schedule, available are:
`explore (default), fast, coe, lin, quad, exploit, mmopt, rare, seek`
which you can set with e.g. `-p seek`
You can also use different fuzzers.
If you are using afl spinoffs or afl conforming fuzzers, then just use the
same -o directory and give it a unique `-S` name.
Examples are e.g.:
* [Angora](https://github.com/AngoraFuzzer/Angora)
* [Untracer](https://github.com/FoRTE-Research/UnTracer-AFL)
* [AFLsmart](https://github.com/aflsmart/aflsmart)
* [FairFuzz](https://github.com/carolemieux/afl-rb)
* [Neuzz](https://github.com/Dongdongshe/neuzz)
A long list can be found at [https://github.com/Microsvuln/Awesome-AFL](https://github.com/Microsvuln/Awesome-AFL)
However you can also sync afl++ with honggfuzz, libfuzzer, entropic, etc.
Just show the main fuzzer (-M) with the `-F` option where the queue
directory of these other fuzzers are, e.g. `-F /src/target/honggfuzz`
#### c) The status of the fuzz campaign
afl++ comes with the `afl-whatsup` script to show the status of fuzzing
campaign.
Just supply the directory that afl-fuzz is given with the -o option and
you will see a detailed status of every fuzzer in that campaign plus
a summary.
To have only the summary use the `-s` switch e.g.: `afl-whatsup -s output/`
#### d) Checking the coverage of the fuzzing
The `paths found` value is a bad indicator how good the coverage is.
It is better to check out the exact lines of code that have been reached -
and which have not been found so far.
An "easy" helper script for this is [https://github.com/vanhauser-thc/afl-cov](https://github.com/vanhauser-thc/afl-cov),
just follow the README of that seperate project.
If you see that an important area or a feature has not been covered so far then
try to find an input that is able to reach that and start a new secondary in
that fuzzing campaign with that seed as input, let it run for a few minutes,
then terminate it. The main node will pick it up and make it available to the
other secondary nodes over time. Set `export AFL_NO_AFFINITY=1` if you have no
free core.
#### e) How long to fuzz a target?
This is a difficult question.
Basically if no new path is found for a long time (e.g. for a day or a week)
then you can expect that your fuzzing won't be fruitful anymore.
However often this just means that you should switch out secondaries for
others, e.g. custom mutator modules, sync to very different fuzzers, etc.
### The End
Check out the [docs/FAQ](docs/FAQ.md) if it maybe answers your question (that
you might not even have known you had ;-) ).
This is basically all you need to know to professionally run fuzzing campaigns.
If you want to know more, the rest of this README and the tons of texts in
[docs/](docs/) will have you covered.
Note that there are also a lot of tools out there that help fuzzing with afl++
(some might be deprecated or unsupported):
Minimization of test cases:
* [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of the minimization of test case by using many CPU cores.
* [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm.
* [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization.
Distributed execution:
* [disfuzz-afl](https://github.com/MartijnB/disfuzz-afl) - distributed fuzzing for AFL.
* [AFLDFF](https://github.com/quantumvm/AFLDFF) - AFL distributed fuzzing framework.
* [afl-launch](https://github.com/bnagy/afl-launch) - a tool for the execution of many AFL instances.
* [afl-mothership](https://github.com/afl-mothership/afl-mothership) - management and execution of many synchronized AFL fuzzers on AWS cloud.
* [afl-in-the-cloud](https://github.com/abhisek/afl-in-the-cloud) - another script for running AFL in AWS.
Deployment, management, monitoring, reporting
* [afl-other-arch](https://github.com/shellphish/afl-other-arch) - is a set of patches and scripts for easily adding support for various non-x86 architectures for AFL.
* [afl-trivia](https://github.com/bnagy/afl-trivia) - a few small scripts to simplify the management of AFL.
* [afl-monitor](https://github.com/reflare/afl-monitor) - a script for monitoring AFL.
* [afl-manager](https://github.com/zx1340/afl-manager) - a web server on Python for managing multi-afl.
* [afl-remote](https://github.com/block8437/afl-remote) - a web server for the remote management of AFL instances.
Crash processing
* [afl-utils](https://gitlab.com/rc0r/afl-utils) - a set of utilities for automatic processing/analysis of crashes and reducing the number of test cases.
* [afl-crash-analyzer](https://github.com/floyd-fuh/afl-crash-analyzer) - another crash analyzer for AFL.
* [fuzzer-utils](https://github.com/ThePatrickStar/fuzzer-utils) - a set of scripts for the analysis of results.
* [atriage](https://github.com/Ayrx/atriage) - a simple triage tool.
* [afl-kit](https://github.com/kcwu/afl-kit) - afl-cmin on Python.
* [AFLize](https://github.com/d33tah/aflize) - a tool that automatically generates builds of debian packages suitable for AFL.
* [afl-fid](https://github.com/FoRTE-Research/afl-fid) - a set of tools for working with input data.
## Fuzzing binary-only targets
When source code is *NOT* available, afl++ offers various support for fast,
on-the-fly instrumentation of black-box binaries.
### QEMU
For linux programs and it's libraries this is accomplished with a version of
QEMU running in the lesser-known "user space emulation" mode.
QEMU is a project separate from AFL, but you can conveniently build the
feature by doing:
```shell
cd qemu_mode
./build_qemu_support.sh
```
For additional instructions and caveats, see [qemu_mode/README.md](qemu_mode/README.md).
If possible you should use the persistent mode, see [qemu_mode/README.persistent.md](qemu_mode/README.persistent.md).
The mode is approximately 2-5x slower than compile-time instrumentation, and is
less conducive to parallelization.
If [afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) works for
your binary, then you can use afl-fuzz normally and it will have twice
the speed compared to qemu_mode (but slower than persistent mode).
### Unicorn
For non-Linux binaries you can use afl++'s unicorn mode which can emulate
anything you want - for the price of speed and the user writing scripts.
See [unicorn_mode](unicorn_mode/README.md).
It can be easily build by:
```shell
cd unicorn_mode
./build_unicorn_support.sh
```
### Shared libraries
If the goal is to fuzz a dynamic library then there are two options available.
For both you need to write a small hardness that loads and calls the library.
Faster is the frida solution: [examples/afl_frida/README.md](examples/afl_frida/README.md)
Another, less precise and slower option is using ptrace with debugger interrupt
instrumentation: [examples/afl_untracer/README.md](examples/afl_untracer/README.md)
### More
A more comprehensive description of these and other options can be found in
[docs/binaryonly_fuzzing.md](docs/binaryonly_fuzzing.md)
## Challenges of guided fuzzing
Fuzzing is one of the most powerful and proven strategies for identifying
@ -223,8 +678,7 @@ All these methods are extremely promising in experimental settings, but tend
to suffer from reliability and performance problems in practical uses - and
currently do not offer a viable alternative to "dumb" fuzzing techniques.
## The afl-fuzz approach
## Background: The afl-fuzz approach
American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple
but rock-solid instrumentation-guided genetic algorithm. It uses a modified
@ -262,141 +716,7 @@ closed-source tools.
The fuzzer is thoroughly tested to deliver out-of-the-box performance far
superior to blind fuzzing or coverage-only tools.
## Instrumenting programs for use with AFL
PLEASE NOTE: llvm_mode compilation with afl-clang-fast/afl-clang-fast++
instead of afl-gcc/afl-g++ is much faster and has many cool features.
See llvm_mode/ - however few code does not compile with llvm.
We support llvm versions 3.4 to 11.
When source code is available, instrumentation can be injected by a companion
tool that works as a drop-in replacement for gcc or clang in any standard build
process for third-party code.
The instrumentation has a fairly modest performance impact; in conjunction with
other optimizations implemented by afl-fuzz, most programs can be fuzzed as fast
or even faster than possible with traditional tools.
The correct way to recompile the target program may vary depending on the
specifics of the build process, but a nearly-universal approach would be:
```shell
CC=/path/to/afl/afl-gcc ./configure
make clean all
```
For C++ programs, you'd would also want to set `CXX=/path/to/afl/afl-g++`.
The clang wrappers (afl-clang and afl-clang++) can be used in the same way;
clang users may also opt to leverage a higher-performance instrumentation mode,
as described in [llvm_mode/README.md](llvm_mode/README.md).
Clang/LLVM has a much better performance and works with LLVM version 3.4 to 11.
Using the LAF Intel performance enhancements are also recommended, see
[llvm_mode/README.laf-intel.md](llvm_mode/README.laf-intel.md)
Using partial instrumentation is also recommended, see
[llvm_mode/README.instrument_file.md](llvm_mode/README.instrument_file.md)
When testing libraries, you need to find or write a simple program that reads
data from stdin or from a file and passes it to the tested library. In such a
case, it is essential to link this executable against a static version of the
instrumented library or to make sure that the correct .so file is loaded at
runtime (usually by setting `LD_LIBRARY_PATH`). The simplest option is a static
build, usually possible via:
```shell
CC=/path/to/afl/afl-gcc ./configure --disable-shared
```
Setting `AFL_HARDEN=1` when calling 'make' will cause the CC wrapper to
automatically enable code hardening options that make it easier to detect
simple memory bugs. Libdislocator, a helper library included with AFL (see
[libdislocator/README.md](libdislocator/README.md)) can help uncover heap corruption issues, too.
PS. ASAN users are advised to review [docs/notes_for_asan.md](docs/notes_for_asan.md)
file for important caveats.
## Instrumenting binary-only apps
When source code is *NOT* available, the fuzzer offers experimental support for
fast, on-the-fly instrumentation of black-box binaries. This is accomplished
with a version of QEMU running in the lesser-known "user space emulation" mode.
QEMU is a project separate from AFL, but you can conveniently build the
feature by doing:
```shell
cd qemu_mode
./build_qemu_support.sh
```
For additional instructions and caveats, see [qemu_mode/README.md](qemu_mode/README.md).
If possible you should use the persistent mode, see [qemu_mode/README.persistent.md](qemu_mode/README.persistent.md).
The mode is approximately 2-5x slower than compile-time instrumentation, is
less conducive to parallelization, and may have some other quirks.
If [afl-dyninst](https://github.com/vanhauser-thc/afl-dyninst) works for
your binary, then you can use afl-fuzz normally and it will have twice
the speed compared to qemu_mode.
A more comprehensive description of these and other options can be found in
[docs/binaryonly_fuzzing.md](docs/binaryonly_fuzzing.md)
## Good examples and writeups
Here are some good writeups to show how to effectively use AFL++:
* [https://aflplus.plus/docs/tutorials/libxml2_tutorial/](https://aflplus.plus/docs/tutorials/libxml2_tutorial/)
* [https://bananamafia.dev/post/gb-fuzz/](https://bananamafia.dev/post/gb-fuzz/)
* [https://securitylab.github.com/research/fuzzing-challenges-solutions-1](https://securitylab.github.com/research/fuzzing-challenges-solutions-1)
* [https://securitylab.github.com/research/fuzzing-sockets-FTP](https://securitylab.github.com/research/fuzzing-sockets-FTP)
If you are interested in fuzzing structured data (where you define what the
structure is), these links have you covered:
* Superion for afl++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator)
* libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator)
* libprotobuf for old afl++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator)
If you find other good ones, please send them to us :-)
## Power schedules
The power schedules were copied from Marcel Böhme's excellent AFLfast
implementation and expand on the ability to discover new paths and
therefore may increase the code coverage.
The available schedules are:
- explore (default, original AFL)
- exploit (original AFL)
- fast (AFLfast)
- coe (AFLfast)
- quad (AFLfast)
- lin (AFLfast)
- rare (afl++ experimental)
- mmopt (afl++ experimental)
- seek (afl++ experimental)
In parallel mode (-M/-S, several instances with the shared queue), we suggest to
run the main node using the explore or fast schedule (-p explore) and the secondary
nodes with a combination of cut-off-exponential (-p coe), exponential (-p fast),
explore (-p explore) and mmopt (-p mmopt) schedules. If a schedule does
not perform well for a target, restart the secondary nodes with a different schedule.
In single mode, using -p fast is usually slightly more beneficial than the
default explore mode.
(We don't want to change the default behavior of afl, so "fast" has not been
made the default mode).
More details can be found in the paper published at the 23rd ACM Conference on
Computer and Communications Security [CCS'16](https://www.sigsac.org/ccs/CCS2016/accepted-papers/)
## Choosing initial test cases
## Help: Choosing initial test cases
To operate correctly, the fuzzer requires one or more starting file that
contains a good example of the input data normally expected by the targeted
@ -416,45 +736,7 @@ PS. If a large corpus of data is available for screening, you may want to use
the afl-cmin utility to identify a subset of functionally distinct files that
exercise different code paths in the target binary.
## Fuzzing binaries
The fuzzing process itself is carried out by the afl-fuzz utility. This program
requires a read-only directory with initial test cases, a separate place to
store its findings, plus a path to the binary to test.
For target binaries that accept input directly from stdin, the usual syntax is:
```shell
./afl-fuzz -i testcase_dir -o findings_dir /path/to/program [...params...]
```
For programs that take input from a file, use '@@' to mark the location in
the target's command line where the input file name should be placed. The
fuzzer will substitute this for you:
```shell
./afl-fuzz -i testcase_dir -o findings_dir /path/to/program @@
```
You can also use the -f option to have the mutated data written to a specific
file. This is useful if the program expects a particular file extension or so.
Non-instrumented binaries can be fuzzed in the QEMU mode (add -Q in the command
line) or in a traditional, blind-fuzzer mode (specify -n).
You can use -t and -m to override the default timeout and memory limit for the
executed process; rare examples of targets that may need these settings touched
include compilers and video decoders.
Tips for optimizing fuzzing performance are discussed in [perf_tips.md](docs/perf_tips.md).
Note that afl-fuzz starts by performing an array of deterministic fuzzing
steps, which can take several days, but tend to produce neat test cases. If you
want quick & dirty results right away - akin to zzuf and other traditional
fuzzers - add the -d option to the command line.
## Interpreting output
## Help: Interpreting output
See the [docs/status_screen.md](docs/status_screen.md) file for information on
how to interpret the displayed stats and monitor the health of the process. Be
@ -514,53 +796,7 @@ If you have gnuplot installed, you can also generate some pretty graphs for any
active fuzzing task using afl-plot. For an example of how this looks like,
see [http://lcamtuf.coredump.cx/afl/plot/](http://lcamtuf.coredump.cx/afl/plot/).
## Parallelized fuzzing
Every instance of afl-fuzz takes up roughly one core. This means that on
multi-core systems, parallelization is necessary to fully utilize the hardware.
For tips on how to fuzz a common target on multiple cores or multiple networked
machines, please refer to [docs/parallel_fuzzing.md](docs/parallel_fuzzing.md).
The parallel fuzzing mode also offers a simple way for interfacing AFL to other
fuzzers, to symbolic or concolic execution engines, and so forth; again, see the
last section of [docs/parallel_fuzzing.md](docs/parallel_fuzzing.md) for tips.
## Fuzzer dictionaries
By default, afl-fuzz mutation engine is optimized for compact data formats -
say, images, multimedia, compressed data, regular expression syntax, or shell
scripts. It is somewhat less suited for languages with particularly verbose and
redundant verbiage - notably including HTML, SQL, or JavaScript.
To avoid the hassle of building syntax-aware tools, afl-fuzz provides a way to
seed the fuzzing process with an optional dictionary of language keywords,
magic headers, or other special tokens associated with the targeted data type
-- and use that to reconstruct the underlying grammar on the go:
[http://lcamtuf.blogspot.com/2015/01/afl-fuzz-making-up-grammar-with.html](http://lcamtuf.blogspot.com/2015/01/afl-fuzz-making-up-grammar-with.html)
To use this feature, you first need to create a dictionary in one of the two
formats discussed in [dictionaries/README.md](dictionaries/README.md);
and then point the fuzzer to it via the -x option in the command line.
(Several common dictionaries are already provided in that subdirectory, too.)
There is no way to provide more structured descriptions of the underlying
syntax, but the fuzzer will likely figure out some of this based on the
instrumentation feedback alone. This actually works in practice, say:
[http://lcamtuf.blogspot.com/2015/04/finding-bugs-in-sqlite-easy-way.html](http://lcamtuf.blogspot.com/2015/04/finding-bugs-in-sqlite-easy-way.html)
PS. Even when no explicit dictionary is given, afl-fuzz will try to extract
existing syntax tokens in the input corpus by watching the instrumentation
very closely during deterministic byte flips. This works for some types of
parsers and grammars but isn't nearly as good as the -x mode.
If a dictionary is really hard to come by, another option is to let AFL run
for a while and then use the token capture library that comes as a companion
utility with AFL. For that, see [libtokencap/README.md](libtokencap/README.tokencap.md).
## Crash triage
## Help: Crash triage
The coverage-based grouping of crashes usually produces a small data set that
can be quickly triaged manually or with a very simple GDB or Valgrind script.
@ -594,13 +830,13 @@ can be operated in a very simple way:
The tool works with crashing and non-crashing test cases alike. In the crash
mode, it will happily accept instrumented and non-instrumented binaries. In the
non-crashing mode, the minimizer relies on standard AFL instrumentation to make
non-crashing mode, the minimizer relies on standard afl++ instrumentation to make
the file simpler without altering the execution path.
The minimizer accepts the -m, -t, -f and @@ syntax in a manner compatible with
afl-fuzz.
Another recent addition to AFL is the afl-analyze tool. It takes an input
Another tool in afl++ is the afl-analyze tool. It takes an input
file, attempts to sequentially flip bytes, and observes the behavior of the
tested program. It then color-codes the input based on which sections appear to
be critical, and which are not; while not bulletproof, it can often offer quick
@ -628,7 +864,8 @@ found by modifying the target programs to call abort() when say:
Implementing these or similar sanity checks usually takes very little time;
if you are the maintainer of a particular package, you can make this code
conditional with `#ifdef FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION` (a flag also
shared with libfuzzer) or `#ifdef __AFL_COMPILER` (this one is just for AFL).
shared with libfuzzer and honggfuzz) or `#ifdef __AFL_COMPILER` (this one is
just for AFL).
## Common-sense risks
@ -642,7 +879,7 @@ tasks, fuzzing may put a strain on your hardware and on the OS. In particular:
for something to blow up.
- Targeted programs may end up erratically grabbing gigabytes of memory or
filling up disk space with junk files. AFL tries to enforce basic memory
filling up disk space with junk files. afl++ tries to enforce basic memory
limits, but can't prevent each and every possible mishap. The bottom line
is that you shouldn't be fuzzing on systems where the prospect of data loss
is not an acceptable risk.
@ -663,7 +900,7 @@ tasks, fuzzing may put a strain on your hardware and on the OS. In particular:
Here are some of the most important caveats for AFL:
- AFL detects faults by checking for the first spawned process dying due to
- afl++ detects faults by checking for the first spawned process dying due to
a signal (SIGSEGV, SIGABRT, etc). Programs that install custom handlers for
these signals may need to have the relevant code commented out. In the same
vein, faults in child processes spawned by the fuzzed target may evade
@ -692,9 +929,6 @@ Here are some of the most important caveats for AFL:
Some useful tips for modifying network-based services can be also found at:
[https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop](https://www.fastly.com/blog/how-to-fuzz-server-american-fuzzy-lop)
- AFL doesn't output human-readable coverage data. If you want to monitor
coverage, use afl-cov from Michael Rash: [https://github.com/mrash/afl-cov](https://github.com/mrash/afl-cov)
- Occasionally, sentient machines rise against their creators. If this
happens to you, please consult [http://lcamtuf.coredump.cx/prep/](http://lcamtuf.coredump.cx/prep/).
@ -759,6 +993,6 @@ Thank you!
Questions? Concerns? Bug reports? The contributors can be reached via
[https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus)
There is also a mailing list for the afl project; to join, send a mail to
<afl-users+subscribe@googlegroups.com>. Or, if you prefer to browse
archives first, try: [https://groups.google.com/group/afl-users](https://groups.google.com/group/afl-users)
There is also a mailing list for the afl/afl++ project; to join, send a mail to
<afl-users+subscribe@googlegroups.com>. Or, if you prefer to browse archives
first, try: [https://groups.google.com/group/afl-users](https://groups.google.com/group/afl-users)

View File

@ -2,16 +2,13 @@
## Roadmap 2.67+
- allow to sync against honggfuzz and libfuzzer
- expand on AFL_LLVM_INSTRUMENT_FILE to also support sancov allowlist format
- AFL_MAP_SIZE for qemu_mode and unicorn_mode
- namespace for targets? e.g. network
- learn from honggfuzz (mutations, maybe ptrace?)
- CPU affinity for many cores? There seems to be an issue > 96 cores
## Further down the road
afl-fuzz:
- ascii_only mode for mutation output - or use a custom mutator for this?
- setting min_len/max_len/start_offset/end_offset limits for mutation output
llvm_mode:

View File

@ -68,7 +68,12 @@ else:
argv = sys.argv[1:]
for i in range(len(argv)):
if ".cur_input" in argv[i]:
argv[i] = subprocess.run([os.path.join(os.path.dirname(wine_path), "winepath"), "--windows", argv[i]], universal_newlines=True, stdout=subprocess.PIPE).stdout
# Get the Wine translated path using the winepath tool
arg_translated = subprocess.run([os.path.join(os.path.dirname(wine_path), "winepath"), "--windows", argv[i]], universal_newlines=True, stdout=subprocess.PIPE).stdout
# Remove the spurious LF at the end of the path
if len(arg_translated) > 0 and arg_translated[-1] == '\n':
arg_translated = arg_translated[:-1]
argv[i] = arg_translated
break
print("[afl-wine-trace] exec:", " ".join([qemu_path, wine_path] + argv))

View File

@ -0,0 +1,15 @@
CFLAGS = -O3 -funroll-loops -fPIC -Wl,-Bsymbolic
all: honggfuzz.so
honggfuzz.so: honggfuzz.c input.h mangle.c ../../src/afl-performance.c
$(CC) $(CFLAGS) -I../../include -I. -shared -o honggfuzz.so honggfuzz.c mangle.c ../../src/afl-performance.c
update:
wget --unlink https://github.com/google/honggfuzz/raw/master/mangle.c
wget --unlink https://github.com/google/honggfuzz/raw/master/mangle.h
wget --unlink https://github.com/google/honggfuzz/raw/master/honggfuzz.h
clean:
rm -f *.o *~ *.so core

View File

@ -0,0 +1,12 @@
# custum mutator: honggfuzz mangle
this is the very good honggfuzz mutator in mangle.c as a custom mutator
module for afl++. It is the original mangle.c, mangle.h and honggfuzz.h
with a lot of mocking around it :-)
just type `make` to build
```AFL_CUSTOM_MUTATOR_LIBRARY=custom_mutators/honggfuzz/honggfuzz.so afl-fuzz ...```
> Original repository: https://github.com/google/honggfuzz
> Source commit: d0fbcb0373c32436b8fb922e6937da93b17291f5

View File

View File

@ -0,0 +1,22 @@
#ifndef CUSTOM_MUTATOR_HELPERS
#define CUSTOM_MUTATOR_HELPERS
#include "config.h"
#include "types.h"
#include "afl-fuzz.h"
#include <stdlib.h>
#define INITIAL_GROWTH_SIZE (64)
/* Use in a struct: creates a name_buf and a name_size variable. */
#define BUF_VAR(type, name) \
type * name##_buf; \
size_t name##_size;
/* this filles in `&structptr->something_buf, &structptr->something_size`. */
#define BUF_PARAMS(struct, name) \
(void **)&struct->name##_buf, &struct->name##_size
#undef INITIAL_GROWTH_SIZE
#endif

View File

@ -0,0 +1,143 @@
#include <stdio.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include "custom_mutator_helpers.h"
#include "mangle.h"
#define NUMBER_OF_MUTATIONS 5
uint8_t * queue_input;
size_t queue_input_size;
afl_state_t * afl_struct;
run_t run;
honggfuzz_t global;
struct _dynfile_t dynfile;
typedef struct my_mutator {
afl_state_t *afl;
run_t * run;
u8 * mutator_buf;
unsigned int seed;
unsigned int extras_cnt, a_extras_cnt;
} my_mutator_t;
my_mutator_t *afl_custom_init(afl_state_t *afl, unsigned int seed) {
my_mutator_t *data = calloc(1, sizeof(my_mutator_t));
if (!data) {
perror("afl_custom_init alloc");
return NULL;
}
if ((data->mutator_buf = malloc(MAX_FILE)) == NULL) {
perror("mutator_buf alloc");
return NULL;
}
run.dynfile = &dynfile;
run.global = &global;
data->afl = afl;
data->seed = seed;
data->run = &run;
afl_struct = afl;
run.global->mutate.maxInputSz = MAX_FILE;
run.global->mutate.mutationsPerRun = NUMBER_OF_MUTATIONS;
run.mutationsPerRun = NUMBER_OF_MUTATIONS;
run.global->timing.lastCovUpdate = 6;
// global->feedback.cmpFeedback
// global->feedback.cmpFeedbackMap
return data;
}
/* When a new queue entry is added we check if there are new dictionary
entries to add to honggfuzz structure */
void afl_custom_queue_new_entry(my_mutator_t * data,
const uint8_t *filename_new_queue,
const uint8_t *filename_orig_queue) {
if (run.global->mutate.dictionaryCnt >= 1024) return;
while (data->extras_cnt < data->afl->extras_cnt &&
run.global->mutate.dictionaryCnt < 1024) {
memcpy(run.global->mutate.dictionary[run.global->mutate.dictionaryCnt].val,
data->afl->extras[data->extras_cnt].data,
data->afl->extras[data->extras_cnt].len);
run.global->mutate.dictionary[run.global->mutate.dictionaryCnt].len =
data->afl->extras[data->extras_cnt].len;
run.global->mutate.dictionaryCnt++;
data->extras_cnt++;
}
while (data->a_extras_cnt < data->afl->a_extras_cnt &&
run.global->mutate.dictionaryCnt < 1024) {
memcpy(run.global->mutate.dictionary[run.global->mutate.dictionaryCnt].val,
data->afl->a_extras[data->a_extras_cnt].data,
data->afl->a_extras[data->a_extras_cnt].len);
run.global->mutate.dictionary[run.global->mutate.dictionaryCnt].len =
data->afl->a_extras[data->a_extras_cnt].len;
run.global->mutate.dictionaryCnt++;
data->a_extras_cnt++;
}
}
/* we could set only_printable if is_ascii is set ... let's see
uint8_t afl_custom_queue_get(void *data, const uint8_t *filename) {
//run.global->cfg.only_printable = ...
}
*/
/* here we run the honggfuzz mutator, which is really good */
size_t afl_custom_fuzz(my_mutator_t *data, uint8_t *buf, size_t buf_size,
u8 **out_buf, uint8_t *add_buf, size_t add_buf_size,
size_t max_size) {
/* set everything up, costly ... :( */
memcpy(data->mutator_buf, buf, buf_size);
queue_input = data->mutator_buf;
run.dynfile->data = data->mutator_buf;
queue_input_size = buf_size;
run.dynfile->size = buf_size;
*out_buf = data->mutator_buf;
/* the mutation */
mangle_mangleContent(&run, NUMBER_OF_MUTATIONS);
/* return size of mutated data */
return run.dynfile->size;
}
/**
* Deinitialize everything
*
* @param data The data ptr from afl_custom_init
*/
void afl_custom_deinit(my_mutator_t *data) {
free(data->mutator_buf);
free(data);
}

View File

@ -0,0 +1,460 @@
/*
*
* honggfuzz - core structures and macros
* -----------------------------------------
*
* Author: Robert Swiecki <swiecki@google.com>
*
* Copyright 2010-2018 by Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License. You may obtain
* a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
* implied. See the License for the specific language governing
* permissions and limitations under the License.
*
*/
#ifndef _HF_HONGGFUZZ_H_
#define _HF_HONGGFUZZ_H_
#include <dirent.h>
#include <inttypes.h>
#include <limits.h>
#include <pthread.h>
#include <signal.h>
#include <stdbool.h>
#include <stdint.h>
#include <sys/param.h>
#include <sys/queue.h>
#include <sys/types.h>
#include <time.h>
#include "libhfcommon/util.h"
#define PROG_NAME "honggfuzz"
#define PROG_VERSION "2.2"
/* Name of the template which will be replaced with the proper name of the file
*/
#define _HF_FILE_PLACEHOLDER "___FILE___"
/* Default name of the report created with some architectures */
#define _HF_REPORT_FILE "HONGGFUZZ.REPORT.TXT"
/* Default stack-size of created threads. */
#define _HF_PTHREAD_STACKSIZE (1024ULL * 1024ULL * 2ULL) /* 2MB */
/* Name of envvar which indicates sequential number of fuzzer */
#define _HF_THREAD_NO_ENV "HFUZZ_THREAD_NO"
/* Name of envvar which indicates that the netDriver should be used */
#define _HF_THREAD_NETDRIVER_ENV "HFUZZ_USE_NETDRIVER"
/* Name of envvar which indicates honggfuzz's log level in use */
#define _HF_LOG_LEVEL_ENV "HFUZZ_LOG_LEVEL"
/* Number of crash verifier iterations before tag crash as stable */
#define _HF_VERIFIER_ITER 5
/* Size (in bytes) for report data to be stored in stack before written to file
*/
#define _HF_REPORT_SIZE 32768
/* Perf bitmap size */
#define _HF_PERF_BITMAP_SIZE_16M (1024U * 1024U * 16U)
#define _HF_PERF_BITMAP_BITSZ_MASK 0x7FFFFFFULL
/* Maximum number of PC guards (=trace-pc-guard) we support */
#define _HF_PC_GUARD_MAX (1024ULL * 1024ULL * 64ULL)
/* Maximum size of the input file in bytes (1 MiB) */
#define _HF_INPUT_MAX_SIZE (1024ULL * 1024ULL)
/* Default maximum size of produced inputs */
#define _HF_INPUT_DEFAULT_SIZE (1024ULL * 8)
/* Per-thread bitmap */
#define _HF_PERTHREAD_BITMAP_FD 1018
/* FD used to report back used int/str constants from the fuzzed process */
#define _HF_CMP_BITMAP_FD 1019
/* FD used to log inside the child process */
#define _HF_LOG_FD 1020
/* FD used to represent the input file */
#define _HF_INPUT_FD 1021
/* FD used to pass coverage feedback from the fuzzed process */
#define _HF_COV_BITMAP_FD 1022
#define _HF_BITMAP_FD _HF_COV_BITMAP_FD /* Old name for _HF_COV_BITMAP_FD */
/* FD used to pass data to a persistent process */
#define _HF_PERSISTENT_FD 1023
/* Input file as a string */
#define _HF_INPUT_FILE_PATH "/dev/fd/" HF_XSTR(_HF_INPUT_FD)
/* Maximum number of supported execve() args */
#define _HF_ARGS_MAX 2048
/* Message indicating that the fuzzed process is ready for new data */
static const uint8_t HFReadyTag = 'R';
/* Maximum number of active fuzzing threads */
#define _HF_THREAD_MAX 1024U
/* Persistent-binary signature - if found within file, it means it's a
* persistent mode binary */
#define _HF_PERSISTENT_SIG "\x01_LIBHFUZZ_PERSISTENT_BINARY_SIGNATURE_\x02\xFF"
/* HF NetDriver signature - if found within file, it means it's a
* NetDriver-based binary */
#define _HF_NETDRIVER_SIG "\x01_LIBHFUZZ_NETDRIVER_BINARY_SIGNATURE_\x02\xFF"
/* printf() nonmonetary separator. According to MacOSX's man it's supported
* there as well */
#define _HF_NONMON_SEP "'"
typedef enum {
_HF_DYNFILE_NONE = 0x0,
_HF_DYNFILE_INSTR_COUNT = 0x1,
_HF_DYNFILE_BRANCH_COUNT = 0x2,
_HF_DYNFILE_BTS_EDGE = 0x10,
_HF_DYNFILE_IPT_BLOCK = 0x20,
_HF_DYNFILE_SOFT = 0x40,
} dynFileMethod_t;
typedef struct {
uint64_t cpuInstrCnt;
uint64_t cpuBranchCnt;
uint64_t bbCnt;
uint64_t newBBCnt;
uint64_t softCntPc;
uint64_t softCntEdge;
uint64_t softCntCmp;
} hwcnt_t;
typedef enum {
_HF_STATE_UNSET = 0,
_HF_STATE_STATIC,
_HF_STATE_DYNAMIC_DRY_RUN,
_HF_STATE_DYNAMIC_MAIN,
_HF_STATE_DYNAMIC_MINIMIZE,
} fuzzState_t;
typedef enum {
HF_MAYBE = -1,
HF_NO = 0,
HF_YES = 1,
} tristate_t;
struct _dynfile_t {
size_t size;
uint64_t cov[4];
size_t idx;
int fd;
uint64_t timeExecUSecs;
char path[PATH_MAX];
struct _dynfile_t *src;
uint32_t refs;
uint8_t * data;
TAILQ_ENTRY(_dynfile_t) pointers;
};
typedef struct _dynfile_t dynfile_t;
struct strings_t {
size_t len;
TAILQ_ENTRY(strings_t) pointers;
char s[];
};
typedef struct {
uint8_t pcGuardMap[_HF_PC_GUARD_MAX];
uint8_t bbMapPc[_HF_PERF_BITMAP_SIZE_16M];
uint32_t bbMapCmp[_HF_PERF_BITMAP_SIZE_16M];
uint64_t pidNewPC[_HF_THREAD_MAX];
uint64_t pidNewEdge[_HF_THREAD_MAX];
uint64_t pidNewCmp[_HF_THREAD_MAX];
uint64_t guardNb;
uint64_t pidTotalPC[_HF_THREAD_MAX];
uint64_t pidTotalEdge[_HF_THREAD_MAX];
uint64_t pidTotalCmp[_HF_THREAD_MAX];
} feedback_t;
typedef struct {
uint32_t cnt;
struct {
uint8_t val[32];
uint32_t len;
} valArr[1024 * 16];
} cmpfeedback_t;
typedef struct {
struct {
size_t threadsMax;
size_t threadsFinished;
uint32_t threadsActiveCnt;
pthread_t mainThread;
pid_t mainPid;
pthread_t threads[_HF_THREAD_MAX];
} threads;
struct {
const char *inputDir;
const char *outputDir;
DIR * inputDirPtr;
size_t fileCnt;
size_t testedFileCnt;
const char *fileExtn;
size_t maxFileSz;
size_t newUnitsAdded;
char workDir[PATH_MAX];
const char *crashDir;
const char *covDirNew;
bool saveUnique;
size_t dynfileqMaxSz;
size_t dynfileqCnt;
dynfile_t * dynfileqCurrent;
dynfile_t * dynfileq2Current;
TAILQ_HEAD(dyns_t, _dynfile_t) dynfileq;
bool exportFeedback;
} io;
struct {
int argc;
const char *const *cmdline;
bool nullifyStdio;
bool fuzzStdin;
const char * externalCommand;
const char * postExternalCommand;
const char * feedbackMutateCommand;
bool netDriver;
bool persistent;
uint64_t asLimit;
uint64_t rssLimit;
uint64_t dataLimit;
uint64_t coreLimit;
uint64_t stackLimit;
bool clearEnv;
char * env_ptrs[128];
char env_vals[128][4096];
sigset_t waitSigSet;
} exe;
struct {
time_t timeStart;
time_t runEndTime;
time_t tmOut;
time_t lastCovUpdate;
int64_t timeOfLongestUnitUSecs;
bool tmoutVTALRM;
} timing;
struct {
struct {
uint8_t val[256];
size_t len;
} dictionary[1024];
size_t dictionaryCnt;
const char *dictionaryFile;
size_t mutationsMax;
unsigned mutationsPerRun;
size_t maxInputSz;
} mutate;
struct {
bool useScreen;
char cmdline_txt[65];
int64_t lastDisplayUSecs;
} display;
struct {
bool useVerifier;
bool exitUponCrash;
const char *reportFile;
size_t dynFileIterExpire;
bool only_printable;
bool minimize;
bool switchingToFDM;
} cfg;
struct {
bool enable;
bool del_report;
} sanitizer;
struct {
fuzzState_t state;
feedback_t * covFeedbackMap;
int covFeedbackFd;
cmpfeedback_t * cmpFeedbackMap;
int cmpFeedbackFd;
bool cmpFeedback;
const char * blacklistFile;
uint64_t * blacklist;
size_t blacklistCnt;
bool skipFeedbackOnTimeout;
uint64_t maxCov[4];
dynFileMethod_t dynFileMethod;
hwcnt_t hwCnts;
} feedback;
struct {
size_t mutationsCnt;
size_t crashesCnt;
size_t uniqueCrashesCnt;
size_t verifiedCrashesCnt;
size_t blCrashesCnt;
size_t timeoutedCnt;
} cnts;
struct {
bool enabled;
int serverSocket;
int clientSocket;
} socketFuzzer;
struct {
pthread_rwlock_t dynfileq;
pthread_mutex_t feedback;
pthread_mutex_t report;
pthread_mutex_t state;
pthread_mutex_t input;
pthread_mutex_t timing;
} mutex;
/* For the Linux code */
struct {
int exeFd;
uint64_t dynamicCutOffAddr;
bool disableRandomization;
void * ignoreAddr;
const char *symsBlFile;
char ** symsBl;
size_t symsBlCnt;
const char *symsWlFile;
char ** symsWl;
size_t symsWlCnt;
uintptr_t cloneFlags;
tristate_t useNetNs;
bool kernelOnly;
bool useClone;
} arch_linux;
/* For the NetBSD code */
struct {
void * ignoreAddr;
const char *symsBlFile;
char ** symsBl;
size_t symsBlCnt;
const char *symsWlFile;
char ** symsWl;
size_t symsWlCnt;
} arch_netbsd;
} honggfuzz_t;
typedef enum {
_HF_RS_UNKNOWN = 0,
_HF_RS_WAITING_FOR_INITIAL_READY = 1,
_HF_RS_WAITING_FOR_READY = 2,
_HF_RS_SEND_DATA = 3,
} runState_t;
typedef struct {
honggfuzz_t *global;
pid_t pid;
int64_t timeStartedUSecs;
char crashFileName[PATH_MAX];
uint64_t pc;
uint64_t backtrace;
uint64_t access;
int exception;
char report[_HF_REPORT_SIZE];
bool mainWorker;
unsigned mutationsPerRun;
dynfile_t * dynfile;
bool staticFileTryMore;
uint32_t fuzzNo;
int persistentSock;
runState_t runState;
bool tmOutSignaled;
char * args[_HF_ARGS_MAX + 1];
int perThreadCovFeedbackFd;
unsigned triesLeft;
dynfile_t * current;
#if !defined(_HF_ARCH_DARWIN)
timer_t timerId;
#endif // !defined(_HF_ARCH_DARWIN)
hwcnt_t hwCnts;
struct {
/* For Linux code */
uint8_t *perfMmapBuf;
uint8_t *perfMmapAux;
int cpuInstrFd;
int cpuBranchFd;
int cpuIptBtsFd;
} arch_linux;
} run_t;
#endif

View File

@ -0,0 +1,106 @@
#ifndef _HG_INPUT_
#define _HG_INPUT_
#include <stdarg.h>
#ifdef __clang__
#include <stdatomic.h>
#endif
#include <stdbool.h>
#include <stdint.h>
#include <time.h>
#include "honggfuzz.h"
#include "afl-fuzz.h"
/*
* Go-style defer scoped implementation
*
* If compiled with clang, use: -fblocks -lBlocksRuntime
*
* Example of use:
*
* {
* int fd = open(fname, O_RDONLY);
* if (fd == -1) {
* error(....);
* return;
* }
* defer { close(fd); };
* ssize_t sz = read(fd, buf, sizeof(buf));
* ...
* ...
* }
*
*/
#define __STRMERGE(a, b) a##b
#define _STRMERGE(a, b) __STRMERGE(a, b)
#ifdef __clang__
#if __has_extension(blocks)
static void __attribute__((unused)) __clang_cleanup_func(void (^*dfunc)(void)) {
(*dfunc)();
}
#define defer \
void (^_STRMERGE(__defer_f_, __COUNTER__))(void) \
__attribute__((cleanup(__clang_cleanup_func))) __attribute__((unused)) = ^
#else /* __has_extension(blocks) */
#define defer UNIMPLEMENTED - NO - SUPPORT - FOR - BLOCKS - IN - YOUR - CLANG - ENABLED
#endif /* __has_extension(blocks) */
#else /* !__clang__, e.g.: gcc */
#define __block
#define _DEFER(a, count) \
auto void _STRMERGE(__defer_f_, count)(void* _defer_arg __attribute__((unused))); \
int _STRMERGE(__defer_var_, count) __attribute__((cleanup(_STRMERGE(__defer_f_, count)))) \
__attribute__((unused)); \
void _STRMERGE(__defer_f_, count)(void* _defer_arg __attribute__((unused)))
#define defer _DEFER(a, __COUNTER__)
#endif /* ifdef __clang__ */
#define HF_MIN(x, y) (x <= y ? x : y)
#define HF_MAX(x, y) (x >= y ? x : y)
#define ATOMIC_GET
#define ARRAYSIZE(x) (sizeof(x) / sizeof(*x))
#define HF_ATTR_UNUSED __attribute__((unused))
#define util_Malloc(x) malloc(x)
extern uint8_t * queue_input;
extern size_t queue_input_size;
extern afl_state_t * afl_struct;
inline void wmb() { }
inline void LOG_F(const char *format, ...) { }
static inline uint64_t util_rndGet(uint64_t min, uint64_t max) {
return min + rand_below(afl_struct, max - min + 1);
}
static inline uint64_t util_rnd64() { return rand_below(afl_struct, 1 << 30); }
static inline size_t input_getRandomInputAsBuf(run_t *run, const uint8_t **buf) {
*buf = queue_input;
run->dynfile->data = queue_input;
run->dynfile->size = queue_input_size;
return queue_input_size;
}
static inline void input_setSize(run_t* run, size_t sz) {
run->dynfile->size = sz;
}
static inline void util_turnToPrintable(uint8_t* buf, size_t sz) {
for (size_t i = 0; i < sz; i++)
buf[i] = buf[i] % 95 + 32;
}
static inline void util_rndBuf(uint8_t* buf, size_t sz) {
if (sz == 0) return;
for (size_t i = 0; i < sz; i++)
buf[i] = (uint8_t)rand_below(afl_struct, 256);
}
static inline uint8_t util_rndPrintable() {
return 32 + rand_below(afl_struct, 127 - 32);
}
static inline void util_rndBufPrintable(uint8_t* buf, size_t sz) {
for (size_t i = 0; i < sz; i++)
buf[i] = util_rndPrintable();
}
#endif

View File

@ -0,0 +1 @@
.

View File

@ -0,0 +1 @@
common.h

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,32 @@
/*
*
* honggfuzz - buffer mangling routines
* -----------------------------------------
*
* Author: Robert Swiecki <swiecki@google.com>
*
* Copyright 2010-2018 by Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License. You may obtain
* a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
* implied. See the License for the specific language governing
* permissions and limitations under the License.
*
*/
#ifndef _HF_MANGLE_H_
#define _HF_MANGLE_H_
#include "honggfuzz.h"
extern void mangle_mangleContent(run_t *run, int speed_factor);
#endif

View File

@ -0,0 +1 @@
common.h

View File

@ -11,16 +11,21 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
### Version ++2.66d (devel)
- afl-fuzz:
- added -F option to allow -M main fuzzers to sync to foreign fuzzers,
e.g. honggfuzz or libfuzzer
- eliminated CPU affinity race condition for -S/-M runs
- llvm_mode:
- now supports llvm 12!
- fixes for laf-intel float splitting (thanks to mark-griffin for
reporting)
- LTO: autodictionary mode is a default
- LTO: instrim instrumentation disabled, only classic support used
as it is always better
- added honggfuzz mangle as a custom mutator in custom_mutators/honggfuzz :)
- added afl-frida gum solution to examples/afl_frida (mostly imported
from https://github.com/meme/hotwax/)
- small fixes to afl-plot, afl-whatsup and man page creation
- new README, added FAQ
### Version ++2.66c (release)

113
docs/FAQ.md Normal file
View File

@ -0,0 +1,113 @@
# Frequently asked questions about afl++
## Contents
1. [What is an edge?](#what-is-an-edge)
2. [Why is my stability below 100%?](#why-is-my-stability-below-100)
3. [How can I improve the stability value](#how-can-i-improve-the-stability-value)
If you find an interesting or important question missing, submit it via
[https://github.com/AFLplusplus/AFLplusplus/issues](https://github.com/AFLplusplus/AFLplusplus/issues)
## What is an "edge"
A program contains `functions`, `functions` contain the compiled machine code.
The compiled machine code in a `function` can be in a single or many `basic blocks`.
A `basic block` is the largest possible number of subsequent machine code
instructions that runs independent, meaning it does not split up to different
locations nor is it jumped into it from a different location:
```
function() {
A:
some
code
B:
if (x) goto C; else goto D;
C:
some code
goto D
D:
some code
goto B
E:
return
}
```
Every code block between two jump locations is a `basic block`.
An `edge` is then the unique relationship between two `basic blocks` (from the
code example above):
```
Block A
|
v
Block B <------+
/ \ |
v v |
Block C Block D --+
\
v
Block E
```
Every line between two blocks is an `edge`.
## Why is my stability below 100
Stability is measured by how many percent of the edges in the target are
"stable". Sending the same input again and again should take the exact same
path through the target every time. If that is the case, the stability is 100%.
If however randomness happens, e.g. a thread reading from shared memory,
reaction to timing, etc. then in some of the re-executions with the same data
will result in the edge information being different accross runs.
Those edges that change are then flagged "unstable".
The more "unstable" edges, the more difficult for afl++ to identify valid new
paths.
A value above 90% is usually fine and a value above 80% is also still ok, and
even above 20% can still result in successful finds of bugs.
However, it is recommended that below 90% or 80% you should take measures to
improve the stability.
## How can I improve the stability value
Four steps are required to do this and requires quite some knowledge of
coding and/or disassembly and it is only effectively possible with
afl-clang-fast PCGUARD and afl-clang-lto LTO instrumentation!
1. First step: Identify which edge ID numbers are unstable
run the target with `export AFL_DEBUG=1` for a few minutes then terminate.
The out/fuzzer_stats file will then show the edge IDs that were identified
as unstable.
2. Second step: Find the responsible function.
a) For LTO instrumented binaries just disassemble or decompile the target
and look which edge is writing to that edge ID. Ghidra is a good tool
for this: [https://ghidra-sre.org/](https://ghidra-sre.org/)
b) For PCGUARD instrumented binaries it is more difficult. Here you can
either modify the __sanitizer_cov_trace_pc_guard function in
llvm_mode/afl-llvm-rt.o.c to write a backtrace to a file if the ID in
__afl_area_ptr[*guard] is one of the unstable edge IDs. Then recompile
and reinstall llvm_mode and rebuild your target. Run the recompiled
target with afl-fuzz for a while and then check the file that you
wrote with the backtrace information.
Alternatively you can use `gdb` to hook __sanitizer_cov_trace_pc_guard_init
on start, check to which memory address the edge ID value is written
and set a write breakpoint to that address (`watch 0x.....`).
3. Third step: create a text file with the filenames
Identify which source code files contain the functions that you need to
remove from instrumentation.
Simply follow this document on how to do this: [llvm_mode/README.instrument_file.md](llvm_mode/README.instrument_file.md)
If PCGUARD is used, then you need to follow this guide: [http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation](http://clang.llvm.org/docs/SanitizerCoverage.html#partially-disabling-instrumentation)
4. Fourth step: recompile the target
Recompile, fuzz it, be happy :)

View File

@ -99,7 +99,15 @@ example may be:
This is not a concern if you use @@ without -f and let afl-fuzz come up with the
file name.
## 3) Multi-system parallelization
## 3) Syncing with non-afl fuzzers or independant instances
A -M main node can be told with the `-F other_fuzzer_queue_directory` option
to sync results from other fuzzers, e.g. libfuzzer or honggfuzz.
Only the specified directory will by synced into afl, not subdirectories.
The specified directories do not need to exist yet at the start of afl.
## 4) Multi-system parallelization
The basic operating principle for multi-system parallelization is similar to
the mechanism explained in section 2. The key difference is that you need to
@ -176,7 +184,7 @@ It is *not* advisable to skip the synchronization script and run the fuzzers
directly on a network filesystem; unexpected latency and unkillable processes
in I/O wait state can mess things up.
## 4) Remote monitoring and data collection
## 5) Remote monitoring and data collection
You can use screen, nohup, tmux, or something equivalent to run remote
instances of afl-fuzz. If you redirect the program's output to a file, it will
@ -200,7 +208,7 @@ Keep in mind that crashing inputs are *not* automatically propagated to the
main instance, so you may still want to monitor for crashes fleet-wide
from within your synchronization or health checking scripts (see afl-whatsup).
## 5) Asymmetric setups
## 6) Asymmetric setups
It is perhaps worth noting that all of the following is permitted:

BIN
docs/screenshot.png Normal file

Binary file not shown.

After

Width:  |  Height:  |  Size: 114 KiB

View File

@ -71,6 +71,8 @@ endif
ifneq "$(shell uname -s)" "Haiku"
LDFLAGS += -lrt
else
CFLAGS_SAFE += -DUSEMMAP=1
endif
ifeq "$(shell uname -s)" "SunOS"

View File

@ -348,6 +348,13 @@ struct afl_pass_stat {
};
struct foreign_sync {
u8 * dir;
time_t ctime;
};
typedef struct afl_state {
/* Position of this state in the global states list */
@ -581,6 +588,15 @@ typedef struct afl_state {
u8 describe_op_buf_256[256]; /* describe_op will use this to return a string
up to 256 */
unsigned long long int last_avg_exec_update;
u32 last_avg_execs;
float last_avg_execs_saved;
/* foreign sync */
#define FOREIGN_SYNCS_MAX 32
u8 foreign_sync_cnt;
struct foreign_sync foreign_syncs[FOREIGN_SYNCS_MAX];
#ifdef _AFL_DOCUMENT_MUTATIONS
u8 do_document;
u32 document_counter;
@ -944,6 +960,7 @@ void fix_up_banner(afl_state_t *, u8 *);
void check_if_tty(afl_state_t *);
void setup_signal_handlers(void);
void save_cmdline(afl_state_t *, u32, char **);
void read_foreign_testcases(afl_state_t *, int);
/* CmpLog */

View File

@ -32,15 +32,16 @@ ifeq "$(shell uname)" "OpenBSD"
LLVM_CONFIG ?= $(BIN_PATH)/llvm-config
HAS_OPT = $(shell test -x $(BIN_PATH)/opt && echo 0 || echo 1)
ifeq "$(HAS_OPT)" "1"
$(error llvm_mode needs a complete llvm installation (versions 3.4 up to 11) -> e.g. "pkg_add llvm-7.0.1p9")
$(error llvm_mode needs a complete llvm installation (versions 3.4 up to 12) -> e.g. "pkg_add llvm-7.0.1p9")
endif
else
LLVM_CONFIG ?= llvm-config
endif
LLVMVER = $(shell $(LLVM_CONFIG) --version 2>/dev/null | sed 's/git//' )
LLVM_UNSUPPORTED = $(shell $(LLVM_CONFIG) --version 2>/dev/null | egrep -q '^3\.[0-3]|^1[2-9]' && echo 1 || echo 0 )
LLVM_UNSUPPORTED = $(shell $(LLVM_CONFIG) --version 2>/dev/null | egrep -q '^3\.[0-3]|^19' && echo 1 || echo 0 )
LLVM_NEW_API = $(shell $(LLVM_CONFIG) --version 2>/dev/null | egrep -q '^1[0-9]' && echo 1 || echo 0 )
LLVM_HAVE_LTO = $(shell $(LLVM_CONFIG) --version 2>/dev/null | egrep -q '^1[1-9]' && echo 1 || echo 0 )
LLVM_MAJOR = $(shell $(LLVM_CONFIG) --version 2>/dev/null | sed 's/\..*//')
LLVM_BINDIR = $(shell $(LLVM_CONFIG) --bindir 2>/dev/null)
LLVM_LIBDIR = $(shell $(LLVM_CONFIG) --libdir 2>/dev/null)
@ -53,7 +54,7 @@ ifeq "$(LLVMVER)" ""
endif
ifeq "$(LLVM_UNSUPPORTED)" "1"
$(warning llvm_mode only supports llvm versions 3.4 up to 11)
$(warning llvm_mode only supports llvm versions 3.4 up to 12)
endif
ifeq "$(LLVM_MAJOR)" "9"
@ -65,8 +66,8 @@ ifeq "$(LLVM_NEW_API)" "1"
LLVM_STDCXX = c++14
endif
ifeq "$(LLVM_MAJOR)" "11"
$(info [+] llvm_mode detected llvm 11, enabling afl-clang-lto LTO implementation)
ifeq "$(LLVM_HAVE_LTO)" "1"
$(info [+] llvm_mode detected llvm 11+, enabling afl-clang-lto LTO implementation)
LLVM_LTO = 1
#TEST_MMAP = 1
endif

View File

@ -2,7 +2,7 @@
## TLDR;
This version requires a current llvm 11 compiled from the github master.
This version requires a current llvm 11+ compiled from the github master.
1. Use afl-clang-lto/afl-clang-lto++ because it is faster and gives better
coverage than anything else that is out there in the AFL world
@ -10,7 +10,7 @@ This version requires a current llvm 11 compiled from the github master.
2. You can use it together with llvm_mode: laf-intel and the instrument file listing
features and can be combined with cmplog/Redqueen
3. It only works with llvm 11 (current github master state)
3. It only works with llvm 11+
4. AUTODICTIONARY feature! see below
@ -61,9 +61,9 @@ AUTODICTIONARY: 11 strings found
[+] Instrumented 12071 locations with no collisions (on average 1046 collisions would be in afl-gcc/afl-clang-fast) (non-hardened mode).
```
## Getting llvm 11
## Getting llvm 11+
### Installing llvm 11 from the llvm repository
### Installing llvm from the llvm repository (version 11)
Installing the llvm snapshot builds is easy and mostly painless:
@ -83,7 +83,7 @@ apt-get install -y clang-11 clang-tools-11 libc++1-11 libc++-11-dev \
libomp5-11 lld-11 lldb-11 llvm-11 llvm-11-dev llvm-11-runtime llvm-11-tools
```
### Building llvm 11 yourself
### Building llvm yourself (version 12)
Building llvm from github takes quite some long time and is not painless:
```
@ -157,7 +157,7 @@ instrument it:
when compiling, so we have to trick configure:
```
./configure --enable-lto --disable-shared
./configure --enable-lto --disable-shared --disable-inline-asm
```
3. Now the configuration is done - and we edit the settings in `./ffbuild/config.mak`
@ -201,15 +201,15 @@ cd WebKit
```
mkdir -p WebKitBuild/Release
cd WebKitBuild/Release
ln -s ../../../../../usr/bin/llvm-ar-11 llvm-ar-11
ln -s ../../../../../usr/bin/llvm-ranlib-11 llvm-ranlib-11
ln -s ../../../../../usr/bin/llvm-ar-12 llvm-ar-12
ln -s ../../../../../usr/bin/llvm-ranlib-12 llvm-ranlib-12
cd ../..
```
3. Build :)
```
Tools/Scripts/build-jsc --jsc-only --cli --cmakeargs="-DCMAKE_AR='llvm-ar-11' -DCMAKE_RANLIB='llvm-ranlib-11' -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DCMAKE_CC_FLAGS='-O3 -lrt' -DCMAKE_CXX_FLAGS='-O3 -lrt' -DIMPORTED_LOCATION='/lib/x86_64-linux-gnu/' -DCMAKE_CC=afl-clang-lto -DCMAKE_CXX=afl-clang-lto++ -DENABLE_STATIC_JSC=ON"
Tools/Scripts/build-jsc --jsc-only --cli --cmakeargs="-DCMAKE_AR='llvm-ar-12' -DCMAKE_RANLIB='llvm-ranlib-12' -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DCMAKE_CC_FLAGS='-O3 -lrt' -DCMAKE_CXX_FLAGS='-O3 -lrt' -DIMPORTED_LOCATION='/lib/x86_64-linux-gnu/' -DCMAKE_CC=afl-clang-lto -DCMAKE_CXX=afl-clang-lto++ -DENABLE_STATIC_JSC=ON"
```
## Potential issues
@ -246,17 +246,17 @@ AS=llvm-as ...
afl-clang-lto is still work in progress.
Known issues:
* Anything that llvm 11 cannot compile, afl-clang-lto can not compile either - obviously
* Anything that llvm 11+ cannot compile, afl-clang-lto can not compile either - obviously
* Anything that does not compile with LTO, afl-clang-lto can not compile either - obviously
Hence if building a target with afl-clang-lto fails try to build it with llvm11
and LTO enabled (`CC=clang-11` `CXX=clang++-11` `CFLAGS=-flto=full` and
Hence if building a target with afl-clang-lto fails try to build it with llvm12
and LTO enabled (`CC=clang-12` `CXX=clang++-12` `CFLAGS=-flto=full` and
`CXXFLAGS=-flto=full`).
If this succeeeds then there is an issue with afl-clang-lto. Please report at
[https://github.com/AFLplusplus/AFLplusplus/issues/226](https://github.com/AFLplusplus/AFLplusplus/issues/226)
Even some targets where clang-11 fails can be build if the fail is just in
Even some targets where clang-12 fails can be build if the fail is just in
`./configure`, see `Solving difficult targets` above.
### Target crashes immediately
@ -296,7 +296,7 @@ Still more problems came up though as this only works without bugs from
llvm 9 onwards, and with high optimization the link optimization ruins
the instrumented control flow graph.
This is all now fixed with llvm 11. The llvm's own linker is now able to
This is all now fixed with llvm 11+. The llvm's own linker is now able to
load passes and this bypasses all problems we had.
Happy end :)

View File

@ -6,7 +6,7 @@
## 1) Introduction
! llvm_mode works with llvm versions 3.4 up to 11 !
! llvm_mode works with llvm versions 3.4 up to 12 !
The code in this directory allows you to instrument programs for AFL using
true compiler-level instrumentation, instead of the more crude
@ -183,4 +183,4 @@ AFL_LLVM_INSTRUMENT=PCGUARD make
```
Note that this us currently the default, as it is the best mode.
If you have llvm 11 and compiled afl-clang-lto - this is the only better mode.
If you have llvm 11+ and compiled afl-clang-lto - this is the only better mode.

View File

@ -514,6 +514,8 @@ static void __afl_start_snapshots(void) {
if (!child_pid) {
//(void)nice(-20); // does not seem to improve
signal(SIGCHLD, old_sigchld_handler);
close(FORKSRV_FD);
@ -717,6 +719,8 @@ static void __afl_start_forkserver(void) {
if (!child_pid) {
//(void)nice(-20);
signal(SIGCHLD, old_sigchld_handler);
close(FORKSRV_FD);

View File

@ -620,7 +620,13 @@ static void afl_wait_tsl(CPUState *cpu, int fd) {
last_tb = tb_htable_lookup(cpu, c.last_tb.pc, c.last_tb.cs_base,
c.last_tb.flags, c.cf_mask);
if (last_tb) { tb_add_jump(last_tb, c.tb_exit, tb); }
#define TB_JMP_RESET_OFFSET_INVALID 0xffff
if (last_tb && (last_tb->jmp_reset_offset[c.tb_exit] !=
TB_JMP_RESET_OFFSET_INVALID)) {
tb_add_jump(last_tb, c.tb_exit, tb);
}
}

View File

@ -438,6 +438,159 @@ static void shuffle_ptrs(afl_state_t *afl, void **ptrs, u32 cnt) {
}
/* Read all testcases from foreign input directories, then queue them for
testing. Called at startup and at sync intervals.
Does not descend into subdirectories! */
void read_foreign_testcases(afl_state_t *afl, int first) {
if (!afl->foreign_sync_cnt) return;
struct dirent **nl;
s32 nl_cnt;
u32 i, iter;
u8 val_buf[2][STRINGIFY_VAL_SIZE_MAX];
for (iter = 0; iter < afl->foreign_sync_cnt; iter++) {
if (afl->foreign_syncs[iter].dir != NULL &&
afl->foreign_syncs[iter].dir[0] != 0) {
if (first) ACTF("Scanning '%s'...", afl->foreign_syncs[iter].dir);
time_t ctime_max = 0;
/* We use scandir() + alphasort() rather than readdir() because otherwise,
the ordering of test cases would vary somewhat randomly and would be
difficult to control. */
nl_cnt = scandir(afl->foreign_syncs[iter].dir, &nl, NULL, NULL);
if (nl_cnt < 0) {
if (first) {
WARNF("Unable to open directory '%s'", afl->foreign_syncs[iter].dir);
sleep(1);
}
continue;
}
if (nl_cnt == 0) {
if (first)
WARNF("directory %s is currently empty",
afl->foreign_syncs[iter].dir);
continue;
}
/* Show stats */
snprintf(afl->stage_name_buf, STAGE_BUF_SIZE, "foreign sync %u", iter);
afl->stage_name = afl->stage_name_buf;
afl->stage_cur = 0;
afl->stage_max = 0;
for (i = 0; i < nl_cnt; ++i) {
struct stat st;
u8 *fn2 =
alloc_printf("%s/%s", afl->foreign_syncs[iter].dir, nl[i]->d_name);
free(nl[i]); /* not tracked */
if (unlikely(lstat(fn2, &st) || access(fn2, R_OK))) {
if (first) PFATAL("Unable to access '%s'", fn2);
continue;
}
/* we detect new files by their ctime */
if (likely(st.st_ctime <= afl->foreign_syncs[iter].ctime)) {
ck_free(fn2);
continue;
}
/* This also takes care of . and .. */
if (!S_ISREG(st.st_mode) || !st.st_size || strstr(fn2, "/README.txt")) {
ck_free(fn2);
continue;
}
if (st.st_size > MAX_FILE) {
if (first)
WARNF(
"Test case '%s' is too big (%s, limit is %s), skipping", fn2,
stringify_mem_size(val_buf[0], sizeof(val_buf[0]), st.st_size),
stringify_mem_size(val_buf[1], sizeof(val_buf[1]), MAX_FILE));
ck_free(fn2);
continue;
}
// lets do not use add_to_queue(afl, fn2, st.st_size, 0);
// as this could add duplicates of the startup input corpus
int fd = open(fn2, O_RDONLY);
if (fd < 0) {
ck_free(fn2);
continue;
}
u8 fault;
u8 *mem = mmap(0, st.st_size, PROT_READ, MAP_PRIVATE, fd, 0);
if (mem == MAP_FAILED) {
ck_free(fn2);
continue;
}
write_to_testcase(afl, mem, st.st_size);
fault = fuzz_run_target(afl, &afl->fsrv, afl->fsrv.exec_tmout);
afl->syncing_party = "foreign";
afl->queued_imported +=
save_if_interesting(afl, mem, st.st_size, fault);
afl->syncing_party = 0;
munmap(mem, st.st_size);
close(fd);
if (st.st_ctime > ctime_max) ctime_max = st.st_ctime;
}
afl->foreign_syncs[iter].ctime = ctime_max;
free(nl); /* not tracked */
}
}
if (first) {
afl->last_path_time = 0;
afl->queued_at_start = afl->queued_paths;
}
}
/* Read all testcases from the input directory, then queue them for testing.
Called at startup. */
@ -527,9 +680,11 @@ void read_testcases(afl_state_t *afl) {
if (st.st_size > MAX_FILE) {
FATAL("Test case '%s' is too big (%s, limit is %s)", fn2,
WARNF("Test case '%s' is too big (%s, limit is %s), skipping", fn2,
stringify_mem_size(val_buf[0], sizeof(val_buf[0]), st.st_size),
stringify_mem_size(val_buf[1], sizeof(val_buf[1]), MAX_FILE));
ck_free(fn2);
continue;
}

View File

@ -40,7 +40,7 @@ void setup_custom_mutators(afl_state_t *afl) {
if (fn) {
if (afl->limit_time_sig)
if (afl->limit_time_sig && afl->limit_time_sig != -1)
FATAL(
"MOpt and custom mutator are mutually exclusive. We accept pull "
"requests that integrates MOpt with the optional mutators "
@ -168,7 +168,8 @@ struct custom_mutator *load_custom_mutator(afl_state_t *afl, const char *fn) {
/* "afl_custom_deinit", optional for backward compatibility */
mutator->afl_custom_deinit = dlsym(dh, "afl_custom_deinit");
if (!mutator->afl_custom_deinit) FATAL("Symbol 'afl_custom_init' not found.");
if (!mutator->afl_custom_deinit)
FATAL("Symbol 'afl_custom_deinit' not found.");
/* "afl_custom_post_process", optional */
mutator->afl_custom_post_process = dlsym(dh, "afl_custom_post_process");
@ -282,10 +283,24 @@ u8 trim_case_custom(afl_state_t *afl, struct queue_entry *q, u8 *in_buf,
} else if (unlikely(retlen > orig_len)) {
FATAL(
/* Do not exit the fuzzer, even if the trimmed data returned by the custom
mutator is larger than the original data. For some use cases, like the
grammar mutator, the definition of "size" may have different meanings.
For example, the trimming function in a grammar mutator aims at
reducing the objects in a grammar structure, but does not guarantee to
generate a smaller binary buffer.
Thus, we allow the custom mutator to generate the trimmed data that is
larger than the original data. */
if (afl->not_on_tty && afl->debug) {
WARNF(
"Trimmed data returned by custom mutator is larger than original "
"data");
}
} else if (unlikely(retlen == 0)) {
/* Do not run the empty test case on the target. To keep the custom

View File

@ -612,6 +612,8 @@ void sync_fuzzers(afl_state_t *afl) {
}
if (afl->foreign_sync_cnt) read_foreign_testcases(afl, 0);
}
/* Trim all new test cases to save cycles when doing deterministic checks. The

View File

@ -39,7 +39,7 @@ void write_stats_file(afl_state_t *afl, double bitmap_cvg, double stability,
u8 fn[PATH_MAX];
s32 fd;
FILE * f;
uint32_t t_bytes = count_non_255_bytes(afl, afl->virgin_bits);
u32 t_bytes = count_non_255_bytes(afl, afl->virgin_bits);
snprintf(fn, PATH_MAX, "%s/fuzzer_stats", afl->out_dir);
@ -67,6 +67,17 @@ void write_stats_file(afl_state_t *afl, double bitmap_cvg, double stability,
}
if ((unlikely(!afl->last_avg_exec_update ||
cur_time - afl->last_avg_exec_update >= 60000))) {
afl->last_avg_execs_saved =
(float)(1000 * (afl->fsrv.total_execs - afl->last_avg_execs)) /
(float)(cur_time - afl->last_avg_exec_update);
afl->last_avg_execs = afl->fsrv.total_execs;
afl->last_avg_exec_update = cur_time;
}
#ifndef __HAIKU__
if (getrusage(RUSAGE_CHILDREN, &rus)) { rus.ru_maxrss = 0; }
#endif
@ -81,7 +92,7 @@ void write_stats_file(afl_state_t *afl, double bitmap_cvg, double stability,
"cycles_wo_finds : %llu\n"
"execs_done : %llu\n"
"execs_per_sec : %0.02f\n"
// "real_execs_per_sec: %0.02f\n" // damn the name is too long
"execs_ps_last_min : %0.02f\n"
"paths_total : %u\n"
"paths_favored : %u\n"
"paths_found : %u\n"
@ -117,6 +128,7 @@ void write_stats_file(afl_state_t *afl, double bitmap_cvg, double stability,
afl->fsrv.total_execs,
afl->fsrv.total_execs /
((double)(get_cur_time() - afl->start_time) / 1000),
afl->last_avg_execs_saved,
afl->queued_paths, afl->queued_favored, afl->queued_discovered,
afl->queued_imported, afl->max_depth, afl->current_entry,
afl->pending_favored, afl->pending_not_fuzzed, afl->queued_variable,

View File

@ -131,10 +131,13 @@ static void usage(afl_state_t *afl, u8 *argv0, int more_help) {
"executions.\n\n"
"Other stuff:\n"
" -T text - text banner to show on the screen\n"
" -M/-S id - distributed mode (see docs/parallel_fuzzing.md)\n"
" use -D to force -S secondary to perform deterministic "
"fuzzing\n"
" -F path - sync to a foreign fuzzer queue directory (requires "
"-M, can\n"
" be specified up to %u times)\n"
" -T text - text banner to show on the screen\n"
" -I command - execute this command/script when a new crash is "
"found\n"
//" -B bitmap.txt - mutate a specific test case, use the out/fuzz_bitmap
@ -142,7 +145,7 @@ static void usage(afl_state_t *afl, u8 *argv0, int more_help) {
" -C - crash exploration mode (the peruvian rabbit thing)\n"
" -e ext - file extension for the fuzz test input file (if "
"needed)\n\n",
argv0, EXEC_TIMEOUT, MEM_LIMIT);
argv0, EXEC_TIMEOUT, MEM_LIMIT, FOREIGN_SYNCS_MAX);
if (more_help > 1) {
@ -269,7 +272,7 @@ int main(int argc, char **argv_orig, char **envp) {
afl->shmem_testcase_mode = 1; // we always try to perform shmem fuzzing
while ((opt = getopt(argc, argv,
"+c:i:I:o:f:m:t:T:dDnCB:S:M:x:QNUWe:p:s:V:E:L:hRP:")) >
"+c:i:I:o:f:F:m:t:T:dDnCB:S:M:x:QNUWe:p:s:V:E:L:hRP:")) >
0) {
switch (opt) {
@ -403,6 +406,19 @@ int main(int argc, char **argv_orig, char **envp) {
afl->use_splicing = 1;
break;
case 'F': /* foreign sync dir */
if (!afl->is_main_node)
FATAL(
"Option -F can only be specified after the -M option for the "
"main fuzzer of a fuzzing campaign");
if (afl->foreign_sync_cnt >= FOREIGN_SYNCS_MAX)
FATAL("Maximum %u entried of -F option can be specified",
FOREIGN_SYNCS_MAX);
afl->foreign_syncs[afl->foreign_sync_cnt].dir = optarg;
afl->foreign_sync_cnt++;
break;
case 'f': /* target file */
if (afl->fsrv.out_file) { FATAL("Multiple -f options not supported"); }
@ -1060,6 +1076,8 @@ int main(int argc, char **argv_orig, char **envp) {
setup_cmdline_file(afl, argv + optind);
read_testcases(afl);
// read_foreign_testcases(afl, 1); for the moment dont do this
load_auto(afl);
pivot_inputs(afl);
@ -1217,6 +1235,7 @@ int main(int argc, char **argv_orig, char **envp) {
}
// (void)nice(-20); // does not improve the speed
// real start time, we reset, so this works correctly with -V
afl->start_time = get_cur_time();

View File

@ -1,16 +1,22 @@
#include <stdlib.h>
#include <unistd.h>
#include <limits.h>
#include <stdint.h>
__AFL_FUZZ_INIT();
int main(void) {
float magic;
ssize_t bytes_read;
ssize_t bytes_read = read(STDIN_FILENO, &magic, sizeof(magic));
if (bytes_read < (ssize_t)sizeof(magic)) { return 1; }
__AFL_INIT();
float *magic = (float *)__AFL_FUZZ_TESTCASE_BUF;
if ((-magic == 15.0 + 0.5 + 0.125 + 0.03125 +
0.0078125)) { /* 15 + 1/2 + 1/8 + 1/32 + 1/128 */
abort();
while (__AFL_LOOP(INT_MAX)) {
if (__AFL_FUZZ_TESTCASE_LEN != sizeof(float)) return 1;
/* 15 + 1/2 + 1/8 + 1/32 + 1/128 */
if ((-*magic == 15.0 + 0.5 + 0.125 + 0.03125 + 0.0078125)) abort();
}

View File

@ -385,13 +385,13 @@ test -e ../afl-clang-fast -a -e ../split-switches-pass.so && {
CODE=1
}
rm -f test-compcov.compcov test.out
AFL_LLVM_INSTRUMENT=AFL AFL_DEBUG=1 AFL_LLVM_LAF_SPLIT_COMPARES=1 AFL_LLVM_LAF_SPLIT_FLOATS=1 ../afl-clang-fast -o test-floatingpoint test-floatingpoint.c > test.out 2>&1
AFL_LLVM_INSTRUMENT=AFL AFL_LLVM_LAF_ALL=1 ../afl-clang-fast -o test-floatingpoint test-floatingpoint.c > test.out 2>&1
test -e test-floatingpoint && {
mkdir -p in
echo ZZ > in/in
$ECHO "$GREY[*] running afl-fuzz with floating point splitting, this will take max. 30 seconds"
{
AFL_BENCH_UNTIL_CRASH=1 ../afl-fuzz -s1 -V30 -m ${MEM_LIMIT} -i in -o out -- ./test-floatingpoint >>errors 2>&1
AFL_BENCH_UNTIL_CRASH=1 AFL_NO_UI=1 ../afl-fuzz -s 123 -V30 -m ${MEM_LIMIT} -i in -o out -- ./test-floatingpoint >>errors 2>&1
} >>errors 2>&1
test -n "$( ls out/crashes/id:* 2>/dev/null )" && {
$ECHO "$GREEN[+] llvm_mode laf-intel floatingpoint splitting feature works correctly"