E option and docu update
MODIFY
afl-fuzz.c
afl-fuzz.c
@@ -88,6 +88,8 @@ u64 total_puppet_find = 0;
u64 temp_puppet_find = 0;
u64 most_time_key = 0;
u64 most_time_puppet = 0;
+u64 most_execs_key = 0;
+u64 most_execs = 0;
u64 old_hit_count = 0;
int SPLICE_CYCLES_puppet;
int limit_time_sig = 0;
@@ -11344,18 +11346,21 @@ static void usage(u8* argv0) {
" -n - fuzz without instrumentation (dumb mode)\n"
" -x dir - optional fuzzer dictionary (see README)\n\n"
+ "Testing settings:\n"
+ " -s seed - use a fixed seed for the RNG\n"
+ " -V seconds - fuzz for a maximum total time of seconds then terminate\n"
+ " -E execs - fuzz for a maximum number of total executions then terminate\n\n"
+
"Other stuff:\n"
" -T text - text banner to show on the screen\n"
" -M / -S id - distributed mode (see parallel_fuzzing.txt)\n"
" -C - crash exploration mode (the peruvian rabbit thing)\n"
- " -V seconds - fuzz for a maximum total time of seconds then terminate\n"
- " -s seed - use a fixed seed for the rng - important to testing\n"
" -e ext - File extension for the temporarily generated test case\n\n"
#ifdef USE_PYTHON
"Compiled with Python 2.7 module support, see docs/python_mutators.txt\n"
#endif
- "For additional tips, please consult %s/README.\n\n",
+ "For additional tips, please consult %s/README\n\n",
argv0, EXEC_TIMEOUT, MEM_LIMIT, doc_path);
@@ -12050,7 +12055,7 @@ int main(int argc, char** argv) {
gettimeofday(&tv, &tz);
init_seed = tv.tv_sec ^ tv.tv_usec ^ getpid();
- while ((opt = getopt(argc, argv, "+i:o:f:m:t:T:dnCB:S:M:x:Qe:p:s:V:L:")) > 0)
+ while ((opt = getopt(argc, argv, "+i:o:f:m:t:T:dnCB:S:M:x:Qe:p:s:V:E:L:")) > 0)
switch (opt) {
@@ -12258,6 +12263,13 @@ int main(int argc, char** argv) {
}
break;
+ case 'E': {
+ most_execs_key = 1;
+ if (sscanf(optarg, "%llu", &most_execs) < 1 || optarg[0] == '-')
+ FATAL("Bad syntax used for -E");
+ }
+ break;
+
case 'L': { /* MOpt mode */
if (limit_time_sig) FATAL("Multiple -L options not supported");
@@ -12583,6 +12595,10 @@ int main(int argc, char** argv) {
if (most_time_puppet * 1000 < cur_ms_lv - start_time)
break;
}
+ if (most_execs_key == 1) {
+ if (most_execs >= total_execs)
+ break;
+ }
}
if (queue_cur) show_stats();

MODIFY
docs/ChangeLog
docs/ChangeLog
@@ -20,6 +20,7 @@ Version ++2.52d (tbd):
- added MOpt (github.com/puppet-meteor/MOpt-AFL) mode
- added never zero counters for afl-gcc and optional (because of an
optimization issue in llvm < 9) for llvm_mode (AFL_LLVM_NEVER_ZERO=1)
+ - added a new doc about binary only fuzzing: docs/binaryonly_fuzzing.txt
- more cpu power for afl-system-config
- added forkserver patch to afl-tmin, makes it much faster (originally from
github.com/nccgroup/TriforceAFL)
@@ -30,6 +31,8 @@ Version ++2.52d (tbd):
see docs/python_mutators.txt (originally by choller@mozilla)
- added AFL_CAL_FAST for slow applications and AFL_DEBUG_CHILD_OUTPUT for
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
seed that is not updated. this is good for performance and path discovery
tests as the random numbers are deterministic then

ADD
docs/binaryonly_fuzzing.txt
+
+Fuzzing binary-only programs with afl++
+=======================================
+
+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 not source code available,
+then standard afl++ (dumb mode) is not effective.
+
+The following is a description of how these can be fuzzed with afl++
+
+!!!!!
+DTLR: try DYNINST with afl-dyninst. If it produces too many crashes then
+ use afl -Q qemu_mode.
+!!!!!
+
+
+QEMU
+----
+Qemu is the "native" solution to the program.
+It is available in the ./qemu_mode/ directory and once compiled it can
+be accessed by the afl-fuzz -Q command line option.
+The speed decrease is at about 50%
+It the easiest to use alternative and even works for cross-platform binaries.
+
+As it is included in afl++ this needs no URL.
+
+
+DYNINST
+-------
+Dyninst is a binary instrumentation framework similar to Pintool and Dynamorio
+(see far below). Howver whereas Pintool and Dynamorio work at runtime, dyninst
+instruments the target at load time, and then let it run.
+This is great for some things, e.g. fuzzing, and not so effective for others,
+e.g. malware analysis.
+
+So what we can do with dyninst is taking every basic block, and put afl's
+instrumention code in there - and then save the binary.
+Afterwards we can just fuzz the newly saved target binary with afl-fuzz.
+Sounds great? It is. The issue though - this is a non-trivial problem to
+insert instructions, which changes addresses in the process space and that
+everything still works afterwards. Hence more often than not binaries
+crash when they are run.
+
+The speed decrease is about 25-35%
+
+So if dyninst works, its the best option available. Otherwise it just doesn't
+work well.
+
+https://github.com/vanhauser-thc/afl-dyninst
+
+
+INTEL-PT
+--------
+The big issue with Intel's PT is the small buffer size and the complex
+encoding of the debug information collected through PT.
+This makes the decoding very CPU intensive, hence slow and using up twice
+the CPU resources. So to fairly compare Intel PT based afl fuzzers with
+native afl or afl qemu we need to calculate in the higher CPU resources used.
+As a result, the overall speed decrease is about 85-90%
+
+there are two afl intel-pt implementations:
+
+1. https://github.com/junxzm1990/afl-pt
+ => this needs Ubuntu 14.04.05 without any updates and the 4.4 kernel.
+
+2. https://github.com/hunter-ht-2018/ptfuzzer
+ => this needs a 4.14 or 4.15 kernel. the "nopti" kernel boot option must
+ be used
+
+
+CORESIGHT
+---------
+
+Coresight is the ARM answer to Intel's PT.
+There is no implementation so far which handle coresight and getting
+it working on an ARM Linux is very difficult due custom kernel building
+on embedded systems is difficult. And finding one that has coresight in
+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 implemention for afl please ping me:
+vh@thc.org
+
+
+PIN & DYNAMORIO
+---------------
+
+Pintool and Dynamorio are dynamic instrumentation engines, and they can be
+used for getting basic block information at runtime.
+Pintool is only available for Intel x32/x64 on Linux, Mac OS and Windows
+whereas Dynamorio is additionally available for ARM and AARCH64.
+Dynamorio is also 10x faster than Pintool.
+
+The big issue with Dynamorio (and therefore Pintool too) is speed.
+Dynamorio has a speed decrease of 98-99%
+Pintool has a speed decrease of 99.5%
+
+Hence Dynamorio is the option to go for if everything fails, and Pintool
+only if Dynamorio fails too.
+
+Dynamorio solutions:
+ https://github.com/vanhauser-thc/afl-dynamorio
+ https://github.com/mxmssh/drAFL
+ https://github.com/googleprojectzero/winafl/ <= very good but windows only
+
+Pintool solutions:
+ https://github.com/vanhauser-thc/afl-pin
+ https://github.com/mothran/aflpin
+ https://github.com/spinpx/afl_pin_mode <= only old Pintool version supported
+
+
+That's it!
+News, corrections, updates?
+Email vh@thc.org

-E option and docu update