Merge branch 'dev' into docs_edit_remote_monitoring

This commit is contained in:
llzmb
2021-08-08 21:22:47 +02:00
106 changed files with 528 additions and 219 deletions

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@ -11,7 +11,7 @@ assignees: ''
1. You have verified that the issue to be present in the current `dev` branch
2. Please supply the command line options and relevant environment variables, e.g. a copy-paste of the contents of `out/default/fuzzer_setup`
Thank you for making afl++ better!
Thank you for making AFL++ better!
**Describe the bug**
A clear and concise description of what the bug is.

1
.gitignore vendored
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@ -85,4 +85,5 @@ gmon.out
afl-frida-trace.so
utils/afl_network_proxy/afl-network-client
utils/afl_network_proxy/afl-network-server
utils/plot_ui/afl-plot-ui
*.o.tmp

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@ -572,6 +572,7 @@ clean:
$(MAKE) -C utils/afl_network_proxy clean
$(MAKE) -C utils/socket_fuzzing clean
$(MAKE) -C utils/argv_fuzzing clean
-$(MAKE) -C utils/plot_ui clean
$(MAKE) -C qemu_mode/unsigaction clean
$(MAKE) -C qemu_mode/libcompcov clean
$(MAKE) -C qemu_mode/libqasan clean
@ -605,6 +606,7 @@ endif
$(MAKE) -C utils/afl_network_proxy
$(MAKE) -C utils/socket_fuzzing
$(MAKE) -C utils/argv_fuzzing
# -$(MAKE) -C utils/plot_ui
-$(MAKE) -C frida_mode
ifneq "$(SYS)" "Darwin"
-cd qemu_mode && sh ./build_qemu_support.sh
@ -618,6 +620,7 @@ binary-only: test_shm test_python ready $(PROGS)
$(MAKE) -C utils/afl_network_proxy
$(MAKE) -C utils/socket_fuzzing
$(MAKE) -C utils/argv_fuzzing
# -$(MAKE) -C utils/plot_ui
-$(MAKE) -C frida_mode
ifneq "$(SYS)" "Darwin"
-cd qemu_mode && sh ./build_qemu_support.sh
@ -632,6 +635,7 @@ ifneq "$(SYS)" "Darwin"
endif
$(MAKE) -C utils/libdislocator
$(MAKE) -C utils/libtokencap
# -$(MAKE) -C utils/plot_ui
%.8: %
@echo .TH $* 8 $(BUILD_DATE) "afl++" > $@
@ -660,6 +664,7 @@ install: all $(MANPAGES)
@rm -f $${DESTDIR}$(HELPER_PATH)/afl-llvm-rt.o $${DESTDIR}$(HELPER_PATH)/afl-llvm-rt-32.o $${DESTDIR}$(HELPER_PATH)/afl-llvm-rt-64.o $${DESTDIR}$(HELPER_PATH)/afl-gcc-rt.o
install -m 755 $(PROGS) $(SH_PROGS) $${DESTDIR}$(BIN_PATH)
@if [ -f afl-qemu-trace ]; then install -m 755 afl-qemu-trace $${DESTDIR}$(BIN_PATH); fi
@if [ -f utils/plot_ui/afl-plot-ui ]; then install -m 755 utils/plot_ui/afl-plot-ui $${DESTDIR}$(BIN_PATH); fi
@if [ -f libdislocator.so ]; then set -e; install -m 755 libdislocator.so $${DESTDIR}$(HELPER_PATH); fi
@if [ -f libtokencap.so ]; then set -e; install -m 755 libtokencap.so $${DESTDIR}$(HELPER_PATH); fi
@if [ -f libcompcov.so ]; then set -e; install -m 755 libcompcov.so $${DESTDIR}$(HELPER_PATH); fi

134
README.md
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@ -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">
@ -8,7 +8,7 @@
Repository: [https://github.com/AFLplusplus/AFLplusplus](https://github.com/AFLplusplus/AFLplusplus)
afl++ is maintained by:
AFL++ is maintained by:
* Marc "van Hauser" Heuse <mh@mh-sec.de>,
* Heiko "hexcoder-" Eißfeldt <heiko.eissfeldt@hexco.de>,
@ -17,36 +17,36 @@
Originally developed by Michał "lcamtuf" Zalewski.
afl++ is a superior fork to Google's afl - more speed, more and better
AFL++ is a superior fork to Google's AFL - more speed, more and better
mutations, more and better instrumentation, custom module support, etc.
If you want to use afl++ for your academic work, check the [papers page](https://aflplus.plus/papers/)
If you want to use AFL++ for your academic work, check the [papers page](https://aflplus.plus/papers/)
on the website. To cite our work, look at the [Cite](#cite) section.
For comparisons use the fuzzbench `aflplusplus` setup, or use `afl-clang-fast`
with `AFL_LLVM_CMPLOG=1`.
## Major behaviour changes in afl++ 3.00 onwards:
## Major behaviour changes in AFL++ 3.00 onwards:
With afl++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for
With AFL++ 3.13-3.20 we introduce frida_mode (-O) to have an alternative for
binary-only fuzzing. It is slower than Qemu mode but works on MacOS, Android,
iOS etc.
With afl++ 3.15 we introduced the following changes from previous behaviours:
With AFL++ 3.15 we introduced the following changes from previous behaviours:
* Also -M main mode does not do deterministic fuzzing by default anymore
* afl-cmin and afl-showmap -Ci now descent into subdirectories like
afl-fuzz -i does (but note that afl-cmin.bash does not)
With afl++ 3.14 we introduced the following changes from previous behaviours:
With AFL++ 3.14 we introduced the following changes from previous behaviours:
* afl-fuzz: deterministic fuzzing it not a default for -M main anymore
* afl-cmin/afl-showmap -i now descends into subdirectories (afl-cmin.bash
however does not)
With afl++ 3.10 we introduced the following changes from previous behaviours:
With AFL++ 3.10 we introduced the following changes from previous behaviours:
* The '+' feature of the '-t' option now means to auto-calculate the timeout
with the value given being the maximum timeout. The original meaning of
"skipping timeouts instead of abort" is now inherent to the -t option.
With afl++ 3.00 we introduced changes that break some previous afl and afl++
With AFL++ 3.00 we introduced changes that break some previous AFL and AFL++
behaviours and defaults:
* There are no llvm_mode and gcc_plugin subdirectories anymore and there is
only one compiler: afl-cc. All previous compilers now symlink to this one.
@ -82,18 +82,18 @@ behaviours and defaults:
## Contents
1. [Features](#important-features-of-afl)
2. [How to compile and install afl++](#building-and-installing-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)
5. [Good examples and writeups of AFL++ usages](#good-examples-and-writeups)
6. [CI Fuzzing](#ci-fuzzing)
7. [Branches](#branches)
8. [Want to help?](#help-wanted)
9. [Detailed help and description of afl++](#challenges-of-guided-fuzzing)
9. [Detailed help and description of AFL++](#challenges-of-guided-fuzzing)
## Important features of afl++
## Important features of AFL++
afl++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with QEMU 5.1
AFL++ supports llvm from 3.8 up to version 12, very fast binary fuzzing with QEMU 5.1
with laf-intel and redqueen, frida mode, unicorn mode, gcc plugin, full *BSD,
Mac OS, Solaris and Android support and much, much, much more.
@ -136,7 +136,7 @@ behaviours and defaults:
* QBDI mode to fuzz android native libraries via Quarkslab's [QBDI](https://github.com/QBDI/QBDI) framework
* Frida and ptrace mode to fuzz binary-only libraries, etc.
So all in all this is the best-of afl that is 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)
@ -151,9 +151,9 @@ behaviours and defaults:
The following branches exist:
* [stable/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 its stability
* [dev](https://github.com/AFLplusplus/AFLplusplus/tree/dev) : development state of afl++ - bleeding edge and you might catch a
* [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!!*
* [release](https://github.com/AFLplusplus/AFLplusplus/tree/release) : the latest release
* (any other) : experimental branches to work on specific features or testing
@ -175,9 +175,9 @@ We have an idea list in [docs/ideas.md](docs/ideas.md).
For everyone who wants to contribute (and send pull requests) please read
[CONTRIBUTING.md](CONTRIBUTING.md) before your submit.
## Building and installing afl++
## Building and installing AFL++
An easy way to install afl++ with everything compiled is available via docker:
An easy way to install AFL++ with everything compiled is available via docker:
You can use the [Dockerfile](Dockerfile) (which has gcc-10 and clang-11 -
hence afl-clang-lto is available!) or just pull directly from the docker hub:
```shell
@ -187,7 +187,7 @@ docker run -ti -v /location/of/your/target:/src aflplusplus/aflplusplus
This image is automatically generated when a push to the stable repo happens.
You will find your target source code in /src in the container.
If you want to build afl++ yourself you have many options.
If you want to build AFL++ yourself you have many options.
The easiest choice is to build and install everything:
```shell
@ -205,7 +205,7 @@ It is recommended to install the newest available gcc, clang and llvm-dev
possible in your distribution!
Note that "make distrib" also builds instrumentation, 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 instrumentation is highly recommended for much better results -
hence in this case
@ -216,7 +216,7 @@ is what you should choose.
These build targets exist:
* all: just the main afl++ binaries
* all: just the main AFL++ binaries
* binary-only: everything for binary-only fuzzing: qemu_mode, unicorn_mode, libdislocator, libtokencap
* source-only: everything for source code fuzzing: instrumentation, libdislocator, libtokencap
* distrib: everything (for both binary-only and source code fuzzing)
@ -230,7 +230,7 @@ These build targets exist:
* help: shows these build options
[Unless you are on Mac OS X](https://developer.apple.com/library/archive/qa/qa1118/_index.html) you can also build statically linked versions of the
afl++ binaries by passing the STATIC=1 argument to make:
AFL++ binaries by passing the STATIC=1 argument to make:
```shell
make STATIC=1
@ -264,14 +264,14 @@ Here are some good writeups to show how to effectively use AFL++:
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 for afl++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator)
* Superion for AFL++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator)
* libprotobuf for AFL++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-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)
* 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++
## 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)
@ -287,9 +287,9 @@ Fuzzing source code is a three-step process.
### 1. Instrumenting that target
#### a) Selecting the best afl++ compiler for instrumenting the target
#### a) Selecting the best AFL++ compiler for instrumenting the target
afl++ comes with a central compiler `afl-cc` that incorporates various different
AFL++ comes with a central compiler `afl-cc` that incorporates various different
kinds of compiler targets and and instrumentation options.
The following evaluation flow will help you to select the best possible.
@ -339,7 +339,7 @@ You can select the mode for the afl-cc compiler by:
MODE can be one of: LTO (afl-clang-lto*), LLVM (afl-clang-fast*), GCC_PLUGIN
(afl-g*-fast) or GCC (afl-gcc/afl-g++) or CLANG(afl-clang/afl-clang++).
Because no afl specific command-line options are accepted (beside the
Because no AFL specific command-line options are accepted (beside the
--afl-MODE command), the compile-time tools make fairly broad use of environment
variables, which can be listed with `afl-cc -hh` or by reading [docs/env_variables.md](docs/env_variables.md).
@ -347,7 +347,7 @@ variables, which can be listed with `afl-cc -hh` or by reading [docs/env_variabl
The following options are available when you instrument with LTO mode (afl-clang-fast/afl-clang-lto):
* Splitting integer, string, float and switch comparisons so afl++ can easier
* Splitting integer, string, float and switch comparisons so AFL++ can easier
solve these. This is an important option if you do not have a very good
and large input corpus. This technique is called laf-intel or COMPCOV.
To use this set the following environment variable before compiling the
@ -355,7 +355,7 @@ The following options are available when you instrument with LTO mode (afl-clang
You can read more about this in [instrumentation/README.laf-intel.md](instrumentation/README.laf-intel.md)
* A different technique (and usually a better one than laf-intel) is to
instrument the target so that any compare values in the target are sent to
afl++ which then tries to put these values into the fuzzing data at different
AFL++ which then tries to put these values 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 this technique is called
`input to state` or `redqueen`.
@ -388,7 +388,7 @@ time less effective. See:
* [instrumentation/README.ctx.md](instrumentation/README.ctx.md)
* [instrumentation/README.ngram.md](instrumentation/README.ngram.md)
afl++ performs "never zero" counting in its bitmap. You can read more about this
AFL++ performs "never zero" counting in its bitmap. You can read more about this
here:
* [instrumentation/README.neverzero.md](instrumentation/README.neverzero.md)
@ -403,7 +403,7 @@ This is enough because a use-after-free bug will be picked up, e.g. by
ASAN (address sanitizer) anyway when syncing to other fuzzing instances,
so not all fuzzing instances need to be instrumented with ASAN.
The following sanitizers have built-in support in afl++:
The following sanitizers have built-in support in AFL++:
* ASAN = Address SANitizer, finds memory corruption vulnerabilities like
use-after-free, NULL pointer dereference, buffer overruns, etc.
Enabled with `export AFL_USE_ASAN=1` before compiling.
@ -457,13 +457,13 @@ by eliminating these checks within these AFL specific blocks:
#endif
```
All afl++ compilers will set this preprocessor definition automatically.
All AFL++ compilers will set this preprocessor definition automatically.
#### e) 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++
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 such that the target is compiled statically and not dynamically.
How to do this is described below.
@ -474,13 +474,13 @@ Then build the target. (Usually with `make`)
1. sometimes configure and build systems are fickle and do not like
stderr output (and think this means a test failure) - which is something
afl++ likes to do to show statistics. It is recommended to disable afl++
AFL++ likes to do to show statistics. It is recommended to disable AFL++
instrumentation reporting via `export AFL_QUIET=1`.
2. sometimes configure and build systems error on warnings - these should be
disabled (e.g. `--disable-werror` for some configure scripts).
3. in case the configure/build system complains about afl++'s compiler and
3. in case the configure/build system complains about AFL++'s compiler and
aborts then set `export AFL_NOOPT=1` which will then just behave like the
real compiler. This option has to be unset again before building the target!
@ -504,12 +504,12 @@ described in [instrumentation/README.lto.md](instrumentation/README.lto.md).
##### meson
For meson you have to set the afl++ compiler with the very first command!
For meson you have to set the AFL++ compiler with the very first command!
`CC=afl-cc CXX=afl-c++ meson`
##### other build systems or if configure/cmake didn't work
Sometimes cmake and configure do not pick up the afl++ compiler, or the
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 up the build normally and edit the
@ -525,7 +525,7 @@ This variant requires the usage of afl-clang-lto, afl-clang-fast or afl-gcc-fast
It 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
functions that you want to fuzz, plus a few specific AFL++ functions around
it. See [instrumentation/README.persistent_mode.md](instrumentation/README.persistent_mode.md) for details.
Basically if you do not fuzz a target in persistent mode then you are just
@ -534,7 +534,7 @@ doing it for a hobby and not professionally :-).
#### g) libfuzzer fuzzer harnesses with LLVMFuzzerTestOneInput()
libfuzzer `LLVMFuzzerTestOneInput()` harnesses are the defacto standard
for fuzzing, and they can be used with afl++ (and honggfuzz) as well!
for fuzzing, and they can be used with AFL++ (and honggfuzz) as well!
Compiling them is as simple as:
```
afl-clang-fast++ -fsanitize=fuzzer -o harness harness.cpp targetlib.a
@ -566,7 +566,7 @@ 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 the AFL++ tool `afl-cmin` to remove inputs from the corpus that do not
produce a new path in the target.
Put all files from step a) into one directory, e.g. INPUTS.
@ -678,13 +678,13 @@ failure handling in the target.
Play around with various -m values until you find one that safely works for all
your input seeds (if you have good ones and then double or quadrouple that.
By default afl-fuzz never stops fuzzing. To terminate afl++ simply press Control-C
By default afl-fuzz never stops fuzzing. To terminate AFL++ simply press Control-C
or send a signal SIGINT. You can limit the number of executions or approximate runtime
in seconds with options also.
When you start afl-fuzz you will see a user interface that shows what the status
is:
![docs/screenshot.png](docs/screenshot.png)
![docs/resources/screenshot.png](docs/resources/screenshot.png)
All labels are explained in [docs/status_screen.md](docs/status_screen.md).
@ -693,7 +693,7 @@ All labels are explained in [docs/status_screen.md](docs/status_screen.md).
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 design of how afl++ works - there is a maximum
On the same machine - due to the design of how AFL++ works - there is a maximum
number of CPU cores/threads that are useful, use more and the overall performance
degrades instead. This value depends on the target, and the limit is between 32
and 64 cores per machine.
@ -734,7 +734,7 @@ If you have a large corpus, a corpus from a previous run or are fuzzing in
a CI, then also set `export AFL_CMPLOG_ONLY_NEW=1` and `export AFL_FAST_CAL=1`.
You can also use different fuzzers.
If you are using afl spinoffs or afl conforming fuzzers, then just use the
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:
* [Fuzzolic](https://github.com/season-lab/fuzzolic)
@ -747,7 +747,7 @@ Examples are:
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 with `-entropic=1`, etc.
However you can also sync AFL++ with honggfuzz, libfuzzer with `-entropic=1`, etc.
Just show the main fuzzer (-M) with the `-F` option where the queue/work
directory of a different fuzzer is, e.g. `-F /src/target/honggfuzz`.
Using honggfuzz (with `-n 1` or `-n 2`) and libfuzzer in parallel is highly
@ -794,7 +794,7 @@ There is a more complex and configurable script in `utils/distributed_fuzzing`.
#### d) The status of the fuzz campaign
afl++ comes with the `afl-whatsup` script to show the status of the fuzzing
AFL++ comes with the `afl-whatsup` script to show the status of the fuzzing
campaign.
Just supply the directory that afl-fuzz is given with the -o option and
@ -886,7 +886,7 @@ 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++
Note that there are also a lot of tools out there that help fuzzing with AFL++
(some might be deprecated or unsupported):
Speeding up fuzzing:
@ -938,7 +938,7 @@ campaigns as these are much shorter runnings.
initial corpus as this very likely has been done for them already.
* Keep the generated corpus, use afl-cmin and reuse it every time!
2. Additionally randomize the afl++ compilation options, e.g.
2. Additionally randomize the AFL++ compilation options, e.g.
* 40% for `AFL_LLVM_CMPLOG`
* 10% for `AFL_LLVM_LAF_ALL`
@ -954,12 +954,12 @@ campaigns as these are much shorter runnings.
`-M` enables old queue handling etc. which is good for a fuzzing campaign but
not good for short CI runs.
How this can look like can e.g. be seen at afl++'s setup in Google's [oss-fuzz](https://github.com/google/oss-fuzz/blob/master/infra/base-images/base-builder/compile_afl)
How this can look like can e.g. be seen at AFL++'s setup in Google's [oss-fuzz](https://github.com/google/oss-fuzz/blob/master/infra/base-images/base-builder/compile_afl)
and [clusterfuzz](https://github.com/google/clusterfuzz/blob/master/src/python/bot/fuzzers/afl/launcher.py).
## Fuzzing binary-only targets
When source code is *NOT* available, afl++ offers various support for fast,
When source code is *NOT* available, AFL++ offers various support for fast,
on-the-fly instrumentation of black-box binaries.
If you do not have to use Unicorn the following setup is recommended to use
@ -1013,7 +1013,7 @@ less conducive to parallelization.
### Unicorn
For non-Linux binaries you can use afl++'s unicorn mode which can emulate
For non-Linux binaries you can use AFL++'s unicorn mode which can emulate
anything you want - for the price of speed and user written scripts.
See [unicorn_mode](unicorn_mode/README.md).
@ -1181,6 +1181,18 @@ 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/).
You can also manually build and install afl-plot-ui, which is a helper utility
for showing the graphs generated by afl-plot in a graphical window using GTK.
You can build and install it as follows
```shell
sudo apt install libgtk-3-0 libgtk-3-dev pkg-config
cd utils/plot_ui
make
cd ../../
sudo make install
```
## Help: Crash triage
The coverage-based grouping of crashes usually produces a small data set that
@ -1215,13 +1227,13 @@ 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 tool in 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
@ -1264,7 +1276,7 @@ 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.
@ -1293,7 +1305,7 @@ 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
@ -1329,7 +1341,7 @@ Beyond this, see INSTALL for platform-specific tips.
## Special thanks
Many of the improvements to the original afl and afl++ wouldn't be possible
Many of the improvements to the original AFL and AFL++ wouldn't be possible
without feedback, bug reports, or patches from:
```
@ -1413,7 +1425,7 @@ Bibtex:
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/afl++ project; to join, send a mail to
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)

173
afl-plot
View File

@ -22,16 +22,28 @@ get_abs_path() {
echo "progress plotting utility for afl-fuzz by Michal Zalewski"
echo
if [ ! "$#" = "2" ]; then
GRAPHICAL="0"
if [ "$1" = "-g" ] || [ "$1" = "--graphical" ]; then
GRAPHICAL="1"
shift
fi
if [ "$#" != "2" ]; then
cat 1>&2 <<_EOF_
$0 afl_state_dir graph_output_dir
$0 [ -g | --graphical ] afl_state_dir graph_output_dir
This program generates gnuplot images from afl-fuzz output data. Usage:
This program generates gnuplot images from afl-fuzz output data.
The afl_state_dir parameter should point to an existing state directory for any
active or stopped instance of afl-fuzz; while graph_output_dir should point to
an empty directory where this tool can write the resulting plots to.
Usage:
afl_state_dir should point to an existing state directory for any
active or stopped instance of afl-fuzz
graph_output_dir should point to an empty directory where this
tool can write the resulting plots to
-g, --graphical (optional) display the plots in a graphical window
(you should have built afl-plot-ui to use this option)
The program will put index.html and three PNG images in the output directory;
you should be able to view it with any web browser of your choice.
@ -102,18 +114,10 @@ fi
rm -f "$outputdir/high_freq.png" "$outputdir/low_freq.png" "$outputdir/exec_speed.png" "$outputdir/edges.png"
mv -f "$outputdir/index.html" "$outputdir/index.html.orig" 2>/dev/null
echo "[*] Generating plots..."
(
cat <<_EOF_
set terminal png truecolor enhanced size 1000,300 butt
set output '$outputdir/high_freq.png'
GNUPLOT_SETUP="
#set xdata time
#set timefmt '%s'
#set format x "%b %d\n%H:%M"
#set format x \"%b %d\n%H:%M\"
set tics font 'small'
unset mxtics
unset mytics
@ -127,36 +131,169 @@ set key outside
set autoscale xfixmin
set autoscale xfixmax
set xlabel "relative time in seconds" font "small"
set xlabel \"relative time in seconds\" font \"small\"
"
PLOT_HF="
set terminal png truecolor enhanced size 1000,300 butt
set output '$outputdir/high_freq.png'
$GNUPLOT_SETUP
plot '$inputdir/plot_data' using 1:4 with filledcurve x1 title 'total paths' linecolor rgb '#000000' fillstyle transparent solid 0.2 noborder, \\
'' using 1:3 with filledcurve x1 title 'current path' linecolor rgb '#f0f0f0' fillstyle transparent solid 0.5 noborder, \\
'' using 1:5 with lines title 'pending paths' linecolor rgb '#0090ff' linewidth 3, \\
'' using 1:6 with lines title 'pending favs' linecolor rgb '#c00080' linewidth 3, \\
'' using 1:2 with lines title 'cycles done' linecolor rgb '#c000f0' linewidth 3
"
PLOT_LF="
set terminal png truecolor enhanced size 1000,200 butt
set output '$outputdir/low_freq.png'
$GNUPLOT_SETUP
plot '$inputdir/plot_data' using 1:8 with filledcurve x1 title '' linecolor rgb '#c00080' fillstyle transparent solid 0.2 noborder, \\
'' using 1:8 with lines title ' uniq crashes' linecolor rgb '#c00080' linewidth 3, \\
'' using 1:9 with lines title 'uniq hangs' linecolor rgb '#c000f0' linewidth 3, \\
'' using 1:10 with lines title 'levels' linecolor rgb '#0090ff' linewidth 3
"
PLOT_ES="
set terminal png truecolor enhanced size 1000,200 butt
set output '$outputdir/exec_speed.png'
$GNUPLOT_SETUP
plot '$inputdir/plot_data' using 1:11 with filledcurve x1 title '' linecolor rgb '#0090ff' fillstyle transparent solid 0.2 noborder, \\
'$inputdir/plot_data' using 1:11 with lines title ' execs/sec' linecolor rgb '#0090ff' linewidth 3 smooth bezier;
"
PLOT_EG="
set terminal png truecolor enhanced size 1000,300 butt
set output '$outputdir/edges.png'
$GNUPLOT_SETUP
plot '$inputdir/plot_data' using 1:13 with lines title ' edges' linecolor rgb '#0090ff' linewidth 3
"
if [ "$#" = "2" ] && [ "$GRAPHICAL" = "1" ]; then
afl-plot-ui -h > /dev/null 2>&1
if [ "$?" != "0" ]; then
cat 1>&2 <<_EOF_
You do not seem to have the afl-plot-ui utility installed. If you have installed afl-plot-ui, make sure the afl-plot-ui executable is in your PATH.
If you are still facing any problems, please open an issue at https://github.com/AFLplusplus/AFLplusplus/issues.
No plots have been generated. Please rerun without the "-g" or "--graphical" flag to generate the plots.
_EOF_
exit 1
fi
mkdir -p "$outputdir/tmp"
afl-plot-ui > "$outputdir/tmp/win_ids" &
sleep 0.5
W_ID1=$(cat $outputdir/tmp/win_ids | head -1)
W_ID2=$(cat $outputdir/tmp/win_ids | head -2 | tail -1)
W_ID3=$(cat $outputdir/tmp/win_ids | head -3 | tail -1)
W_ID4=$(cat $outputdir/tmp/win_ids | tail -1)
echo "[*] Generating plots..."
(
cat << _EOF_
$PLOT_HF
set term x11 window "$W_ID3"
set output
replot
pause mouse close
_EOF_
) | gnuplot
) | gnuplot 2> /dev/null &
(
cat << _EOF_
$PLOT_LF
set term x11 window "$W_ID4"
set output
replot
pause mouse close
_EOF_
) | gnuplot 2> /dev/null &
(
cat << _EOF_
$PLOT_ES
set term x11 window "$W_ID2"
set output
replot
pause mouse close
_EOF_
) | gnuplot 2> /dev/null &
(
cat << _EOF_
$PLOT_EG
set term x11 window "$W_ID1"
set output
replot
pause mouse close
_EOF_
) | gnuplot 2> /dev/null &
sleep 1
rm "$outputdir/tmp/win_ids"
if [ -z "$(ls -A $outputdir/tmp)" ]; then
rm -r "$outputdir/tmp"
fi
else
echo "[*] Generating plots..."
(
cat << _EOF_
$PLOT_HF
$PLOT_LF
$PLOT_ES
$PLOT_EG
_EOF_
) | gnuplot
echo "[?] You can also use -g flag to view the plots in an GUI window, and interact with the plots (if you have built afl-plot-ui). Run \"afl-plot-h\" to know more."
fi
if [ ! -s "$outputdir/exec_speed.png" ]; then

View File

@ -1,6 +1,6 @@
# Custom Mutators
Custom mutators enhance and alter the mutation strategies of afl++.
Custom mutators enhance and alter the mutation strategies of AFL++.
For further information and documentation on how to write your own, read [the docs](../docs/custom_mutators.md).
## Examples
@ -11,9 +11,9 @@ The `./examples` folder contains examples for custom mutators in python and C.
In `./rust`, you will find rust bindings, including a simple example in `./rust/example` and an example for structured fuzzing, based on lain, in`./rust/example_lain`.
## The afl++ Grammar Mutator
## The AFL++ Grammar Mutator
If you use git to clone afl++, then the following will incorporate our
If you use git to clone AFL++, then the following will incorporate our
excellent grammar custom mutator:
```sh
git submodule update --init
@ -40,7 +40,7 @@ Multiple custom mutators can be used by separating their paths with `:` in the e
### Superion Mutators
Adrian Tiron ported the Superion grammar fuzzer to afl++, it is WIP and
Adrian Tiron ported the Superion grammar fuzzer to AFL++, it is WIP and
requires cmake (among other things):
[https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator)
@ -52,8 +52,8 @@ transforms protobuf raw:
https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator
has a transform function you need to fill for your protobuf format, however
needs to be ported to the updated afl++ custom mutator API (not much work):
needs to be ported to the updated AFL++ custom mutator API (not much work):
https://github.com/thebabush/afl-libprotobuf-mutator
same as above but is for current afl++:
same as above but is for current AFL++:
https://github.com/P1umer/AFLplusplus-protobuf-mutator

View File

@ -1,7 +1,7 @@
# custum mutator: honggfuzz mangle
this is the honggfuzz mutator in mangle.c as a custom mutator
module for afl++. It is the original mangle.c, mangle.h and honggfuzz.h
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

View File

@ -17,6 +17,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
configuration settings for fuzzing, for Linux and Macos.
thanks to jhertz!
- added xml, curl and exotic string functions to llvm dictionary features
- fix AFL_PRELOAD issues on MacOS
- removed utils/afl_frida because frida_mode/ is now so much better
@ -82,7 +83,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- on a crashing seed potentially the wrong input was disabled
- added AFL_EXIT_ON_SEED_ISSUES env that will exit if a seed in
-i dir crashes the target or results in a timeout. By default
afl++ ignores these and uses them for splicing instead.
AFL++ ignores these and uses them for splicing instead.
- added AFL_EXIT_ON_TIME env that will make afl-fuzz exit fuzzing
after no new paths have been found for n seconds
- when AFL_FAST_CAL is set a variable path will now be calibrated
@ -236,7 +237,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- Updated utils/afl_frida to be 5% faster, 7% on x86_x64
- Added `AFL_KILL_SIGNAL` env variable (thanks @v-p-b)
- @Edznux added a nice documentation on how to use rpc.statsd with
afl++ in docs/rpc_statsd.md, thanks!
AFL++ in docs/rpc_statsd.md, thanks!
### Version ++3.00c (release)
- llvm_mode/ and gcc_plugin/ moved to instrumentation/
@ -292,7 +293,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- custom mutators
- added a new custom mutator: symcc -> https://github.com/eurecom-s3/symcc/
- added a new custom mutator: libfuzzer that integrates libfuzzer mutations
- Our afl++ Grammar-Mutator is now better integrated into custom_mutators/
- Our AFL++ Grammar-Mutator is now better integrated into custom_mutators/
- added INTROSPECTION support for custom modules
- python fuzz function was not optional, fixed
- some python mutator speed improvements
@ -303,7 +304,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
### Version ++2.68c (release)
- added the GSoC excellent afl++ grammar mutator by Shengtuo to our
- added the GSoC excellent AFL++ grammar mutator by Shengtuo to our
custom_mutators/ (see custom_mutators/README.md) - or get it here:
https://github.com/AFLplusplus/Grammar-Mutator
- a few QOL changes for Apple and its outdated gmake
@ -326,12 +327,12 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- llvm_mode:
- ported SanCov to LTO, and made it the default for LTO. better
instrumentation locations
- Further llvm 12 support (fast moving target like afl++ :-) )
- Further llvm 12 support (fast moving target like AFL++ :-) )
- deprecated LLVM SKIPSINGLEBLOCK env environment
### Version ++2.67c (release)
- Support for improved afl++ snapshot module:
- Support for improved AFL++ snapshot module:
https://github.com/AFLplusplus/AFL-Snapshot-LKM
- Due to the instrumentation needing more memory, the initial memory sizes
for -m have been increased
@ -433,7 +434,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
files/stdin) - 10-100% performance increase
- General support for 64 bit PowerPC, RiscV, Sparc etc.
- fix afl-cmin.bash
- slightly better performance compilation options for afl++ and targets
- slightly better performance compilation options for AFL++ and targets
- fixed afl-gcc/afl-as that could break on fast systems reusing pids in
the same second
- added lots of dictionaries from oss-fuzz, go-fuzz and Jakub Wilk
@ -446,7 +447,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- afl-fuzz:
- AFL_MAP_SIZE was not working correctly
- better python detection
- an old, old bug in afl that would show negative stability in rare
- an old, old bug in AFL that would show negative stability in rare
circumstances is now hopefully fixed
- AFL_POST_LIBRARY was deprecated, use AFL_CUSTOM_MUTATOR_LIBRARY
instead (see docs/custom_mutators.md)
@ -505,8 +506,8 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- extended forkserver: map_size and more information is communicated to
afl-fuzz (and afl-fuzz acts accordingly)
- new environment variable: AFL_MAP_SIZE to specify the size of the shared map
- if AFL_CC/AFL_CXX is set but empty afl compilers did fail, fixed
(this bug is in vanilla afl too)
- if AFL_CC/AFL_CXX is set but empty AFL compilers did fail, fixed
(this bug is in vanilla AFL too)
- added NO_PYTHON flag to disable python support when building afl-fuzz
- more refactoring
@ -520,7 +521,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- all:
- big code changes to make afl-fuzz thread-safe so afl-fuzz can spawn
multiple fuzzing threads in the future or even become a library
- afl basic tools now report on the environment variables picked up
- AFL basic tools now report on the environment variables picked up
- more tools get environment variable usage info in the help output
- force all output to stdout (some OK/SAY/WARN messages were sent to
stdout, some to stderr)
@ -669,7 +670,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- qemu and unicorn download scripts now try to download until the full
download succeeded. f*ckin travis fails downloading 40% of the time!
- more support for Android (please test!)
- added the few Android stuff we didnt have already from Google afl repository
- added the few Android stuff we didnt have already from Google AFL repository
- removed unnecessary warnings
@ -717,7 +718,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- big code refactoring:
* all includes are now in include/
* all afl sources are now in src/ - see src/README.md
* all AFL sources are now in src/ - see src/README.md
* afl-fuzz was split up in various individual files for including
functionality in other programs (e.g. forkserver, memory map, etc.)
for better readability.
@ -733,7 +734,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- fix building on *BSD (thanks to tobias.kortkamp for the patch)
- fix for a few features to support different map sized than 2^16
- afl-showmap: new option -r now shows the real values in the buckets (stock
afl never did), plus shows tuple content summary information now
AFL never did), plus shows tuple content summary information now
- small docu updates
- NeverZero counters for QEMU
- NeverZero counters for Unicorn
@ -776,7 +777,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
debugging
- added -V time and -E execs option to better comparison runs, runs afl-fuzz
for a specific time/executions.
- added a -s seed switch to allow afl run with a fixed initial
- added a -s seed switch to allow AFL run with a fixed initial
seed that is not updated. This is good for performance and path discovery
tests as the random numbers are deterministic then
- llvm_mode LAF_... env variables can now be specified as AFL_LLVM_LAF_...
@ -1597,7 +1598,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
### Version 1.63b:
- Updated cgroups_asan/ with a new version from Sam, made a couple changes
to streamline it and keep parallel afl instances in separate groups.
to streamline it and keep parallel AFL instances in separate groups.
- Fixed typos, thanks to Jakub Wilk.
@ -2395,7 +2396,7 @@ sending a mail to <afl-users+subscribe@googlegroups.com>.
- Added AFL_KEEP_ASSEMBLY for easier troubleshooting.
- Added an override for AFL_USE_ASAN if set at afl compile time. Requested by
- Added an override for AFL_USE_ASAN if set at AFL compile time. Requested by
Hanno Boeck.
### Version 0.79b:

View File

@ -1,8 +1,8 @@
# Frequently asked questions about afl++
# Frequently asked questions about AFL++
## Contents
* [What is the difference between afl and afl++?](#what-is-the-difference-between-afl-and-afl)
* [What is the difference between AFL and AFL++?](#what-is-the-difference-between-afl-and-afl)
* [I got a weird compile error from clang](#i-got-a-weird-compile-error-from-clang)
* [How to improve the fuzzing speed?](#how-to-improve-the-fuzzing-speed)
* [How do I fuzz a network service?](#how-do-i-fuzz-a-network-service)
@ -14,7 +14,7 @@
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 the difference between afl and afl++?
## What is the difference between AFL and AFL++?
American Fuzzy Lop (AFL) was developed by Michał "lcamtuf" Zalewski starting in
2013/2014, and when he left Google end of 2017 he stopped developing it.
@ -24,13 +24,13 @@ it is only accepting PRs from the community and is not developing enhancements
anymore.
In the second quarter of 2019, 1 1/2 year later when no further development of
AFL had happened and it became clear there would none be coming, afl++
AFL had happened and it became clear there would none be coming, AFL++
was born, where initially community patches were collected and applied
for bug fixes and enhancements. Then from various AFL spin-offs - mostly academic
research - features were integrated. This already resulted in a much advanced
AFL.
Until the end of 2019 the afl++ team had grown to four active developers which
Until the end of 2019 the AFL++ team had grown to four active developers which
then implemented their own research and features, making it now by far the most
flexible and feature rich guided fuzzer available as open source.
And in independent fuzzing benchmarks it is one of the best fuzzers available,
@ -52,15 +52,15 @@ clang-13: note: diagnostic msg:
********************
```
Then this means that your OS updated the clang installation from an upgrade
package and because of that the afl++ llvm plugins do not match anymore.
package and because of that the AFL++ llvm plugins do not match anymore.
Solution: `git pull ; make clean install` of afl++
Solution: `git pull ; make clean install` of AFL++
## How to improve the fuzzing speed?
1. Use [llvm_mode](../instrumentation/README.llvm.md): afl-clang-lto (llvm >= 11) or afl-clang-fast (llvm >= 9 recommended)
2. Use [persistent mode](../instrumentation/README.persistent_mode.md) (x2-x20 speed increase)
3. Use the [afl++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase)
3. Use the [AFL++ snapshot module](https://github.com/AFLplusplus/AFL-Snapshot-LKM) (x2 speed increase)
4. If you do not use shmem persistent mode, use `AFL_TMPDIR` to put the input file directory on a tempfs location, see [docs/env_variables.md](docs/env_variables.md)
5. Improve Linux kernel performance: modify `/etc/default/grub`, set `GRUB_CMDLINE_LINUX_DEFAULT="ibpb=off ibrs=off kpti=off l1tf=off mds=off mitigations=off no_stf_barrier noibpb noibrs nopcid nopti nospec_store_bypass_disable nospectre_v1 nospectre_v2 pcid=off pti=off spec_store_bypass_disable=off spectre_v2=off stf_barrier=off"`; then `update-grub` and `reboot` (warning: makes the system less secure)
6. Running on an `ext2` filesystem with `noatime` mount option will be a bit faster than on any other journaling filesystem
@ -86,7 +86,7 @@ and perform binary fuzzing) you can also use a shared library with AFL_PRELOAD
to emulate the network. This is also much faster than the real network would be.
See [utils/socket_fuzzing/](../utils/socket_fuzzing/).
There is an outdated afl++ branch that implements networking if you are
There is an outdated AFL++ branch that implements networking if you are
desperate though: [https://github.com/AFLplusplus/AFLplusplus/tree/networking](https://github.com/AFLplusplus/AFLplusplus/tree/networking) -
however a better option is AFLnet ([https://github.com/aflnet/aflnet](https://github.com/aflnet/aflnet))
which allows you to define network state with different type of data packets.
@ -158,7 +158,7 @@ reaction to timing, etc. then in some of the re-executions with the same data
the edge coverage result will be different accross runs.
Those edges that change are then flagged "unstable".
The more "unstable" edges, the more difficult for afl++ to identify valid new
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

View File

@ -74,7 +74,7 @@ and depend mostly on user feedback.
To build AFL, install llvm (and perhaps gcc) from brew and follow the general
instructions for Linux. If possible avoid Xcode at all cost.
`brew install wget git make cmake llvm`
`brew install wget git make cmake llvm gdb`
Be sure to setup PATH to point to the correct clang binaries and use the
freshly installed clang, clang++ and gmake, e.g.:

View File

@ -1,12 +1,12 @@
# Fuzzing binary-only programs with afl++
# Fuzzing binary-only programs with AFL++
afl++, libfuzzer and others are great if you have the source code, and
AFL++, libfuzzer and others are great if you have the source code, and
it allows for very fast and coverage guided fuzzing.
However, if there is only the binary program and no source code available,
then standard `afl-fuzz -n` (non-instrumented mode) is not effective.
The following is a description of how these binaries can be fuzzed with afl++.
The following is a description of how these binaries can be fuzzed with AFL++.
## TL;DR:
@ -39,7 +39,7 @@
Note that there is also honggfuzz: [https://github.com/google/honggfuzz](https://github.com/google/honggfuzz)
which now has a qemu_mode, but its performance is just 1.5% ...
As it is included in afl++ this needs no URL.
As it is included in AFL++ this needs no URL.
If you like to code a customized fuzzer without much work, we highly
recommend to check out our sister project libafl which will support QEMU
@ -56,12 +56,12 @@
frida-gum via utils/afl_frida/, you will have to write a harness to
call the target function in the library, use afl-frida.c as a template.
Both come with afl++ so this needs no URL.
Both come with AFL++ so this needs no URL.
You can also perform remote fuzzing with frida, e.g. if you want to fuzz
on iPhone or Android devices, for this you can use
[https://github.com/ttdennis/fpicker/](https://github.com/ttdennis/fpicker/)
as an intermediate that uses afl++ for fuzzing.
as an intermediate that uses AFL++ for fuzzing.
If you like to code a customized fuzzer without much work, we highly
recommend to check out our sister project libafl which supports Frida too:
@ -74,7 +74,7 @@
Wine mode can run Win32 PE binaries with the QEMU instrumentation.
It needs Wine, python3 and the pefile python package installed.
As it is included in afl++ this needs no URL.
As it is included in AFL++ this needs no URL.
## UNICORN
@ -83,10 +83,10 @@
In contrast to QEMU, Unicorn does not offer a full system or even userland
emulation. Runtime environment and/or loaders have to be written from scratch,
if needed. On top, block chaining has been removed. This means the speed boost
introduced in the patched QEMU Mode of afl++ cannot simply be ported over to
introduced in the patched QEMU Mode of AFL++ cannot simply be ported over to
Unicorn. For further information, check out [unicorn_mode/README.md](../unicorn_mode/README.md).
As it is included in afl++ this needs no URL.
As it is included in AFL++ this needs no URL.
## AFL UNTRACER
@ -153,7 +153,7 @@
As a result, the overall speed decrease is about 70-90% (depending on
the implementation and other factors).
There are two afl intel-pt implementations:
There are two AFL intel-pt implementations:
1. [https://github.com/junxzm1990/afl-pt](https://github.com/junxzm1990/afl-pt)
=> this needs Ubuntu 14.04.05 without any updates and the 4.4 kernel.
@ -175,7 +175,7 @@
the ARM chip is difficult too.
My guess is that it is slower than Qemu, but faster than Intel PT.
If anyone finds any coresight implementation for afl please ping me: vh@thc.org
If anyone finds any coresight implementation for AFL please ping me: vh@thc.org
## PIN & DYNAMORIO

View File

@ -21,7 +21,7 @@ fuzzing by using libraries that perform mutations according to a given grammar.
The custom mutator is passed to `afl-fuzz` via the `AFL_CUSTOM_MUTATOR_LIBRARY`
or `AFL_PYTHON_MODULE` environment variable, and must export a fuzz function.
Now afl also supports multiple custom mutators which can be specified in the same `AFL_CUSTOM_MUTATOR_LIBRARY` environment variable like this.
Now AFL also supports multiple custom mutators which can be specified in the same `AFL_CUSTOM_MUTATOR_LIBRARY` environment variable like this.
```bash
export AFL_CUSTOM_MUTATOR_LIBRARY="full/path/to/mutator_first.so;full/path/to/mutator_second.so"
```

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@ -1,9 +1,9 @@
# Restructure afl++'s documentation
# Restructure AFL++'s documentation
## About us
We are dedicated to everything around fuzzing, our main and most well known
contribution is the fuzzer `afl++` which is part of all major Unix
contribution is the fuzzer `AFL++` which is part of all major Unix
distributions (e.g. Debian, Arch, FreeBSD, etc.) and is deployed on Google's
oss-fuzz and clusterfuzz. It is rated the top fuzzer on Google's fuzzbench.
@ -11,27 +11,27 @@ We are four individuals from Europe supported by a large community.
All our tools are open source.
## About the afl++ fuzzer project
## About the AFL++ fuzzer project
afl++ inherited it's documentation from the original Google afl project.
AFL++ inherited it's documentation from the original Google AFL project.
Since then it has been massively improved - feature and performance wise -
and although the documenation has likewise been continued it has grown out
of proportion.
The documentation is done by non-natives to the English language, plus
none of us has a writer background.
We see questions on afl++ usage on mailing lists (e.g. afl-users), discord
We see questions on AFL++ usage on mailing lists (e.g. afl-users), discord
channels, web forums and as issues in our repository.
This only increases as afl++ has been on the top of Google's fuzzbench
This only increases as AFL++ has been on the top of Google's fuzzbench
statistics (which measures the performance of fuzzers) and is now being
integrated in Google's oss-fuzz and clusterfuzz - and is in many Unix
packaging repositories, e.g. Debian, FreeBSD, etc.
afl++ now has 44 (!) documentation files with 13k total lines of content.
AFL++ now has 44 (!) documentation files with 13k total lines of content.
This is way too much.
Hence afl++ needs a complete overhaul of it's documentation, both on a
Hence AFL++ needs a complete overhaul of it's documentation, both on a
organisation/structural level as well as the content.
Overall the following actions have to be performed:
@ -44,9 +44,9 @@ Overall the following actions have to be performed:
* The documents have been written and modified by a lot of different people,
most of them non-native English speaker. Hence an overall review where
parts should be rewritten has to be performed and then the rewrite done.
* Create a cheat-sheet for a very short best-setup build and run of afl++
* Create a cheat-sheet for a very short best-setup build and run of AFL++
* Pictures explain more than 1000 words. We need at least 4 images that
explain the workflow with afl++:
explain the workflow with AFL++:
- the build workflow
- the fuzzing workflow
- the fuzzing campaign management workflow
@ -65,8 +65,8 @@ us.
## Metrics
afl++ is a the highest performant fuzzer publicly available - but is also the
most feature rich and complex. With the publicity of afl++' success and
AFL++ is a the highest performant fuzzer publicly available - but is also the
most feature rich and complex. With the publicity of AFL++' success and
deployment in Google projects internally and externally and availability as
a package on most Linux distributions we see more and more issues being
created and help requests on our Discord channel that would not be
@ -75,7 +75,7 @@ is unrealistic.
We expect the the new documenation after this project to be cleaner, easier
accessible and lighter to digest by our users, resulting in much less
help requests. On the other hand the amount of users using afl++ should
help requests. On the other hand the amount of users using AFL++ should
increase as well as it will be more accessible which would also increase
questions again - but overall resulting in a reduction of help requests.
@ -103,7 +103,7 @@ graphics (but again - this is basically just guessing).
Technical Writer 10000$
Volunteer stipends 0$ (waved)
T-Shirts for the top 10 contributors and helpers to this documentation project:
10 afl++ logo t-shirts 20$ each 200$
10 AFL++ logo t-shirts 20$ each 200$
10 shipping cost of t-shirts 10$ each 100$
Total: 10.300$
@ -118,5 +118,5 @@ We have no experience with a technical writer, but we will support that person
with video calls, chats, emails and messaging, provide all necessary information
and write technical contents that is required for the success of this project.
It is clear to us that a technical writer knows how to write, but cannot know
the technical details in a complex tooling like in afl++. This guidance, input,
the technical details in a complex tooling like in AFL++. This guidance, input,
etc. has to come from us.

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@ -11,7 +11,7 @@
## 1) Settings for all compilers
Starting with afl++ 3.0 there is only one compiler: afl-cc
Starting with AFL++ 3.0 there is only one compiler: afl-cc
To select the different instrumentation modes this can be done by
1. passing the --afl-MODE command line option to the compiler
2. or using a symlink to afl-cc: afl-gcc, afl-g++, afl-clang, afl-clang++,
@ -23,10 +23,10 @@ To select the different instrumentation modes this can be done by
(afl-g*-fast) or `GCC` (afl-gcc/afl-g++).
Because (with the exception of the --afl-MODE command line option) the
compile-time tools do not accept afl specific command-line options, they
compile-time tools do not accept AFL specific command-line options, they
make fairly broad use of environmental variables instead:
- Some build/configure scripts break with afl++ compilers. To be able to
- Some build/configure scripts break with AFL++ compilers. To be able to
pass them, do:
```
export CC=afl-cc
@ -37,7 +37,7 @@ make fairly broad use of environmental variables instead:
make
```
- Most afl tools do not print any output if stdout/stderr are redirected.
- Most AFL tools do not print any output if stdout/stderr are redirected.
If you want to get the output into a file then set the `AFL_DEBUG`
environment variable.
This is sadly necessary for various build processes which fail otherwise.
@ -149,7 +149,7 @@ Then there are a few specific features that are only available in instrumentatio
This is a different kind way of instrumentation: first it compiles all
code in LTO (link time optimization) and then performs an edge inserting
instrumentation which is 100% collision free (collisions are a big issue
in afl and afl-like instrumentations). This is performed by using
in AFL and AFL-like instrumentations). This is performed by using
afl-clang-lto/afl-clang-lto++ instead of afl-clang-fast, but is only
built if LLVM 11 or newer is used.
@ -167,7 +167,7 @@ Then there are a few specific features that are only available in instrumentatio
or which functions were touched by an input.
- `AFL_LLVM_MAP_ADDR` sets the fixed map address to a different address than
the default `0x10000`. A value of 0 or empty sets the map address to be
dynamic (the original afl way, which is slower)
dynamic (the original AFL way, which is slower)
- `AFL_LLVM_MAP_DYNAMIC` sets the shared memory address to be dynamic
- `AFL_LLVM_LTO_STARTID` sets the starting location ID for the instrumentation.
This defaults to 1
@ -480,11 +480,11 @@ checks or alter some of the more exotic semantics of the tool:
allows you to add tags to your fuzzing instances. This is especially useful when running
multiple instances (`-M/-S` for example). Applied tags are `banner` and `afl_version`.
`banner` corresponds to the name of the fuzzer provided through `-M/-S`.
`afl_version` corresponds to the currently running afl version (e.g `++3.0c`).
`afl_version` corresponds to the currently running AFL version (e.g `++3.0c`).
Default (empty/non present) will add no tags to the metrics.
See [rpc_statsd.md](rpc_statsd.md) for more information.
- Setting `AFL_CRASH_EXITCODE` sets the exit code afl treats as crash.
- Setting `AFL_CRASH_EXITCODE` sets the exit code AFL treats as crash.
For example, if `AFL_CRASH_EXITCODE='-1'` is set, each input resulting
in an `-1` return code (i.e. `exit(-1)` got called), will be treated
as if a crash had ocurred.

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@ -1,4 +1,4 @@
# Ideas for afl++
# Ideas for AFL++
In the following, we describe a variety of ideas that could be implemented
for future AFL++ versions.

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@ -27,7 +27,7 @@ will not be able to use that input to guide their work.
To help with this problem, afl-fuzz offers a simple way to synchronize test
cases on the fly.
Note that afl++ has AFLfast's power schedules implemented.
Note that AFL++ has AFLfast's power schedules implemented.
It is therefore a good idea to use different power schedules if you run
several instances in parallel. See [power_schedules.md](power_schedules.md)
@ -116,7 +116,7 @@ distribute the deterministic fuzzing across. Note that if you boot up fewer
fuzzers than indicated by the second number passed to -M, you may end up with
poor coverage.
## 4) Syncing with non-afl fuzzers or independant instances
## 4) 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.

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@ -35,7 +35,7 @@ american fuzzy lop ++3.01a (default) [fast] {0}
The top line shows you which mode afl-fuzz is running in
(normal: "american fuzy lop", crash exploration mode: "peruvian rabbit mode")
and the version of afl++.
and the version of AFL++.
Next to the version is the banner, which, if not set with -T by hand, will
either show the binary name being fuzzed, or the -M/-S main/secondary name for
parallel fuzzing.
@ -409,7 +409,7 @@ directory. This includes:
- `edges_found` - how many edges have been found
- `var_byte_count` - how many edges are non-deterministic
- `afl_banner` - banner text (e.g. the target name)
- `afl_version` - the version of afl used
- `afl_version` - the version of AFL used
- `target_mode` - default, persistent, qemu, unicorn, non-instrumented
- `command_line` - full command line used for the fuzzing session

View File

@ -156,7 +156,7 @@ In contrast to more greedy genetic algorithms, this approach allows the tool
to progressively explore various disjoint and possibly mutually incompatible
features of the underlying data format, as shown in this image:
![gzip_coverage](./visualization/afl_gzip.png)
![gzip_coverage](./resources/afl_gzip.png)
Several practical examples of the results of this algorithm are discussed
here:

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@ -1 +0,0 @@
() { _; } >_[$($())] { id; }

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@ -1 +0,0 @@
() { x() { _; }; x() { _; } <<a; }

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@ -1,3 +0,0 @@
<!DOCTYPEd[<!ENTITY
S ""><!ENTITY %
N "<!ELEMENT<![INCLUDE0"<!ENTITYL%N;

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@ -1,2 +0,0 @@
create table t0(o CHar(0)CHECK(0&O>O));insert into t0
select randomblob(0)-trim(0);

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@ -1 +0,0 @@
SELECT 0 UNION SELECT 0 ORDER BY 1 COLLATE"""""""";

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@ -1 +0,0 @@
PRAGMA foreign_keys=1;CREATE TABLE t1("""0"PRIMARY KEy REFERENCES t1 ON DELETE SET NULL);REPLACE INTO t1 SELECT(0);

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@ -1,2 +0,0 @@
DROP TABLE IF EXISTS t;CREATE VIRTUAL TABLE t0 USING fts4();insert into t0 select zeroblob(0);SAVEPOINT O;insert into t0
select(0);SAVEPOINT E;insert into t0 SELECT 0 UNION SELECT 0'x'ORDER BY x;

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@ -1 +0,0 @@
SELECT*from(select"",zeroblob(0),zeroblob(1E9),zeroblob(0),zeroblob(150000000),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(1E9),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0)),(select"",zeroblob(1E9),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(1E9),(0),zeroblob(150000000),(0),zeroblob(0),(0)EXCEPT select zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0),zeroblob(0));

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@ -1,2 +0,0 @@
create table t0(t);insert into t0
select strftime();

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@ -1 +0,0 @@
SELECT fts3_tokenizer(@0());

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@ -1 +0,0 @@
select''like''like''like#0;

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@ -1 +0,0 @@
PRAGMA e;select lower(0);select lower(0)"a",""GROUP BY a ORDER BY a;

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@ -1 +0,0 @@
WITH x AS(SELECT*FROM t)SELECT""EXCEPT SELECT 0 ORDER BY 0 COLLATE"";

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@ -1 +0,0 @@
CREATE VIRTUAL TABLE x USING fts4();VALUES(0,0),(0,0),(0,0),(0,0);PRAGMA writable_schema=ON;UPDATE sqlite_master SET sql=''WHERE name='';UPDATE sqlite_master SET sql='CREATE table t(d CHECK(T(#0)';SAVEPOINT K;SAVEPOINT T;SAVEPOINT T;ANALYZE;ROLLBACK;SAVEPOINT E;DROP TABLE IF EXISTS t;

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@ -1 +0,0 @@
CREATE VIRTUAL TABLE t4 USING fts4(0,b,c,notindexed=0);INSERT INTO t4 VALUES('','','0');BEGIN;INSERT INTO t4 VALUES('','','0');INSERT INTO t4(t4)VALUES('integrity-check');

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@ -1 +0,0 @@
DETACH(select group_concat(q));

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@ -1 +0,0 @@
select(select strftime());

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@ -1 +0,0 @@
select n()AND+#00;

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@ -1 +0,0 @@
select e.*,0 from(s,(L))e;

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@ -1 +0,0 @@
PRAGMA encoding='UTF16';CREATE VIRTUAL TABLE <EFBFBD> USING s;

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@ -1 +0,0 @@
CREATE VIRTUAL TABLE t USING fts4(tokenize=);

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@ -1 +0,0 @@
CREATE TABLE p(a UNIQUE,PRIMARY KEY('a'))WITHOUT rowid;

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@ -1 +0,0 @@
CREATE TABLE t0(z);WITH d(x)AS(SELECT*UNION SELECT 0)INSERT INTO t0 SELECT 0 FROM d;

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@ -1 +0,0 @@
create table t0(<EFBFBD> DEFAULT(0=0)NOT/**/NULL);REPLACE into t0 select'';

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@ -1,6 +0,0 @@
CREATE VIRTUAL TABLE t0 USING fts4(x,order=DESC);
INSERT INTO t0(docid,x)VALUES(-1E0,'0(o');
INSERT INTO t0 VALUES('');
INSERT INTO t0 VALUES('');
INSeRT INTO t0 VALUES('o');
SELECT docid FROM t0 WHERE t0 MATCH'"0*o"';

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@ -1 +0,0 @@
SELECT printf('%*.*f',90000||006000000&6600000000,00000000000000000909000000000000.0000000000000000)""WHERE"">"";

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@ -1 +0,0 @@
CREATE VIRTUAL TABLE t0 USING fts4(content=t0);

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@ -1 +0,0 @@
REATE VIRTUAL TABLE t0 USING fts4(prefix=0);INSERT INTO t0 VALUES(0);

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@ -1 +0,0 @@
create table t(s);PRAGMA writable_schema=ON;UPDATE sqlite_master SET sql='ANALYZE;CREATE VIRTUAL TABLE t USING fts3;DROP TABLE t;DROP TABLE EXISTS t';PRAGMA r;SAVEPOINT T;ANALYZE;ROLLBACK;SAVEPOINT E;DROP TABLE IF EXISTS t;

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@ -1,3 +0,0 @@
$$@$$$@$o
S<EFBFBD><EFBFBD>o
S<EFBFBD><EFBFBD>

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@ -1,4 +1,4 @@
# Using afl++ with partial instrumentation
# Using AFL++ with partial instrumentation
This file describes two different mechanisms to selectively instrument
only specific parts in the target.
@ -13,7 +13,7 @@ the program, leaving the rest uninstrumented. This helps to focus the fuzzer
on the important parts of the program, avoiding undesired noise and
disturbance by uninteresting code being exercised.
For this purpose, "partial instrumentation" support is provided by afl++ that
For this purpose, "partial instrumentation" support is provided by AFL++ that
allows to specify what should be instrumented and what not.
Both mechanisms can be used together.
@ -100,7 +100,7 @@ exists somewhere else in the project directories.
You can also specify function names. Note that for C++ the function names
must be mangled to match! `nm` can print these names.
afl++ is able to identify whether an entry is a filename or a function.
AFL++ is able to identify whether an entry is a filename or a function.
However if you want to be sure (and compliant to the sancov allow/blocklist
format), you can specify source file entries like this:
```

View File

@ -7,7 +7,7 @@ His blog [Circumventing Fuzzing Roadblocks with Compiler Transformations]
(https://lafintel.wordpress.com/) and gitlab repo [laf-llvm-pass]
(https://gitlab.com/laf-intel/laf-llvm-pass/)
describe some code transformations that
help afl++ to enter conditional blocks, where conditions consist of
help AFL++ to enter conditional blocks, where conditions consist of
comparisons of large values.
## Usage

View File

@ -19,7 +19,7 @@ This version requires a current llvm 11+ compiled from the github master.
## Introduction and problem description
A big issue with how afl/afl++ works is that the basic block IDs that are
A big issue with how AFL/AFL++ works is that the basic block IDs that are
set during compilation are random - and hence naturally the larger the number
of instrumented locations, the higher the number of edge collisions are in the
map. This can result in not discovering new paths and therefore degrade the

View File

@ -1,4 +1,4 @@
## Using afl++ without inlined instrumentation
## Using AFL++ without inlined instrumentation
This file describes how you can disable inlining of instrumentation.

View File

@ -2,7 +2,7 @@
## 1) Introduction
In persistent mode, afl++ fuzzes a target multiple times
In persistent mode, AFL++ fuzzes a target multiple times
in a single process, instead of forking a new process for each fuzz execution.
This is the most effective way to fuzz, as the speed can easily
be x10 or x20 times faster without any disadvanges.

View File

@ -1,4 +1,4 @@
# strcmp() / memcmp() CompareCoverage library for afl++ QEMU
# strcmp() / memcmp() CompareCoverage library for AFL++ QEMU
Written by Andrea Fioraldi <andreafioraldi@gmail.com>

View File

@ -1398,6 +1398,9 @@ int main(int argc, char **argv_orig, char **envp) {
afl->fsrv.use_fauxsrv = afl->non_instrumented_mode == 1 || afl->no_forkserver;
check_crash_handling();
check_cpu_governor(afl);
if (getenv("LD_PRELOAD")) {
WARNF(
@ -1498,8 +1501,6 @@ int main(int argc, char **argv_orig, char **envp) {
}
check_crash_handling();
check_cpu_governor(afl);
get_core_count(afl);

View File

@ -2,13 +2,13 @@
The idea and much of the original implementation comes from Nathan Voss <njvoss299@gmail.com>.
The port to afl++ is by Dominik Maier <mail@dmnk.co>.
The port to AFL++ is by Dominik Maier <mail@dmnk.co>.
The CompareCoverage and NeverZero counters features are by Andrea Fioraldi <andreafioraldi@gmail.com>.
## 1) Introduction
The code in ./unicorn_mode allows you to build the (Unicorn Engine)[https://github.com/unicorn-engine/unicorn] with afl support.
The code in ./unicorn_mode allows you to build the (Unicorn Engine)[https://github.com/unicorn-engine/unicorn] with AFL support.
This means, you can run anything that can be emulated in unicorn and obtain instrumentation
output for black-box, closed-source binary code snippets. This mechanism
can be then used by afl-fuzz to stress-test targets that couldn't be built
@ -24,7 +24,7 @@ For some pointers for more advanced emulation, take a look at [BaseSAFE](https:/
### Building AFL++'s Unicorn Mode
First, make afl++ as usual.
First, make AFL++ as usual.
Once that completes successfully you need to build and add in the Unicorn Mode
features:

View File

@ -8,6 +8,9 @@ Here's a quick overview of the stuff you can find in this directory:
- afl_network_proxy - fuzz a target over the network: afl-fuzz on
a host, target on an embedded system.
- plot_ui - simple UI window utility to display the
plots generated by afl-plot
- afl_proxy - skeleton file example to show how to fuzz
something where you gather coverage data via
different means, e.g. hw debugger
@ -38,7 +41,7 @@ Here's a quick overview of the stuff you can find in this directory:
- crash_triage - a very rudimentary example of how to annotate crashes
with additional gdb metadata.
- custom_mutators - examples for the afl++ custom mutator interface in
- custom_mutators - examples for the AFL++ custom mutator interface in
C and Python. Note: They were moved to
../custom_mutators/examples/
@ -61,7 +64,7 @@ Here's a quick overview of the stuff you can find in this directory:
- qemu_persistent_hook - persistent mode support module for qemu.
- socket_fuzzing - a LD_PRELOAD library 'redirects' a socket to stdin
for fuzzing access with afl++
for fuzzing access with AFL++
Note that the minimize_corpus.sh tool has graduated from the utils/
directory and is now available as ../afl-cmin. The LLVM mode has likewise

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@ -1,4 +1,4 @@
# afl++ drivers
# AFL++ drivers
## aflpp_driver

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@ -1,6 +1,6 @@
# argvfuzz
afl supports fuzzing file inputs or stdin. When source is available,
AFL supports fuzzing file inputs or stdin. When source is available,
`argv-fuzz-inl.h` can be used to change `main()` to build argv from stdin.
`argvfuzz` tries to provide the same functionality for binaries. When loaded

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