def main(argv):
parser = argparse.ArgumentParser(
description="Post selected contents of fuzzer_stats to Twitter.",
usage="afl-stats [-h] [-c config] [-d database] [-t]\n")
parser.add_argument(
"-c",
"--config",
dest="config_file",
help="afl-stats config file (Default: afl-stats.conf)!",
default="afl-stats.conf")
parser.add_argument("-d",
"--database",
dest="database_file",
help="Dump stats history into database.")
parser.add_argument('-t',
'--twitter',
dest='twitter',
action='store_const',
const=True,
help='Post stats to twitter (Default: off).',
default=False)
parser.add_argument('-q',
'--quiet',
dest='quiet',
action='store_const',
const=True,
help='Suppress any output (Default: off).',
default=False)
args = parser.parse_args(argv[1:])
if not args.quiet:
show_info()
if args.database_file:
db_file = os.path.abspath(os.path.expanduser(args.database_file))
else:
db_file = None
if db_file:
lite_db = con_sqlite.sqliteConnector(db_file, verbose=False)
else:
lite_db = None
config_settings = read_config(args.config_file)
if lite_db:
dump_stats(config_settings, lite_db)
lite_db.commit_close()
if args.twitter:
twitter_inst = twitter_init(config_settings)
else:
twitter_inst = None
fetch_stats(config_settings, twitter_inst)
def main(argv):
show_info()
parser = argparse.ArgumentParser(description="afl-collect copies all crash sample files from an afl sync dir used \
by multiple fuzzers when fuzzing in parallel into a single location providing easy access for further crash analysis.",
usage="afl-collect [-d DATABASE] [-e|-g GDB_EXPL_SCRIPT_FILE] [-f LIST_FILENAME]\n \
[-h] [-j THREADS] [-m] [-r] [-rr] sync_dir collection_dir -- target_cmd")
parser.add_argument("sync_dir", help="afl synchronisation directory crash samples will be collected from.")
parser.add_argument("collection_dir",
help="Output directory that will hold a copy of all crash samples and other generated files. \
Existing files in the collection directory will be overwritten!")
parser.add_argument("-d", "--database", dest="database_file", help="Submit sample data into an sqlite3 database (\
only when used together with '-e'). afl-collect skips processing of samples already found in existing database.",
default=None)
parser.add_argument("-e", "--execute-gdb-script", dest="gdb_expl_script_file",
help="Generate and execute a gdb+exploitable script after crash sample collection for crash \
classification. (Like option '-g', plus script execution.)",
default=None)
parser.add_argument("-f", "--filelist", dest="list_filename", default=None,
help="Writes all collected crash sample filenames into a file in the collection directory.")
parser.add_argument("-g", "--generate-gdb-script", dest="gdb_script_file",
help="Generate gdb script to run 'exploitable.py' on all collected crash samples. Generated \
script will be placed into collection directory.", default=None)
parser.add_argument("-j", "--threads", dest="num_threads", default=1,
help="Enable parallel analysis by specifying the number of threads afl-collect will utilize.")
parser.add_argument("-m", "--minimize-filenames", dest="min_filename", action="store_const", const=True,
default=False, help="Minimize crash sample file names by only keeping fuzzer name and ID.")
parser.add_argument("-r", "--remove-invalid", dest="remove_invalid", action="store_const", const=True,
default=False, help="Verify collected crash samples and remove samples that do not lead to \
crashes (runs 'afl-vcrash.py -r' on collection directory). This step is done prior to any script file \
or file list generation/execution.")
parser.add_argument("-rr", "--remove-unexploitable", dest="remove_unexploitable", action="store_const", const=True,
default=False, help="Remove crash samples that have an exploitable classification of \
'NOT_EXPLOITABLE' or 'PROBABLY_NOT_EXPLOITABLE'. Sample file removal will take place after gdb+exploitable \
script execution. Has no effect without '-e'.")
parser.add_argument("target_cmd", nargs="+", help="Path to the target binary and its command line arguments. \
Use '@@' to specify crash sample input file position (see afl-fuzz usage).")
args = parser.parse_args(argv[1:])
sync_dir = os.path.abspath(os.path.expanduser(args.sync_dir))
if not os.path.exists(sync_dir):
print_err("No valid directory provided for <SYNC_DIR>!")
return
if args.collection_dir:
out_dir = os.path.abspath(os.path.expanduser(args.collection_dir))
if not os.path.exists(out_dir):
os.makedirs(out_dir, exist_ok=True)
else:
print_err("No valid directory provided for <OUT_DIR>!")
return
args.target_cmd = " ".join(args.target_cmd).split()
args.target_cmd[0] = os.path.abspath(os.path.expanduser(args.target_cmd[0]))
if not os.path.exists(args.target_cmd[0]):
print_err("Target binary not found!")
return
args.target_cmd = " ".join(args.target_cmd)
if args.database_file:
db_file = os.path.abspath(os.path.expanduser(args.database_file))
else:
db_file = None
print_ok("Going to collect crash samples from '%s'." % sync_dir)
# initialize database
if db_file:
lite_db = con_sqlite.sqliteConnector(db_file)
lite_db.init_database()
else:
lite_db = None
fuzzers = get_fuzzer_instances(sync_dir)
print_ok("Found %d fuzzers, collecting crash samples." % len(fuzzers))
sample_index = build_sample_index(sync_dir, out_dir, fuzzers, lite_db, args.min_filename)
if len(sample_index.index) > 0:
print_ok("Successfully indexed %d crash samples." % len(sample_index.index))
elif db_file:
print_warn("No unseen samples found. Check your database for results!")
return
else:
print_warn("No samples found. Check directory settings!")
return
if args.remove_invalid:
from afl_utils import afl_vcrash
invalid_samples = afl_vcrash.verify_samples(int(args.num_threads), sample_index.inputs(), args.target_cmd)
# store invalid samples in db
print_ok("Saving invalid sample info to database.")
if args.gdb_expl_script_file and db_file:
for sample in invalid_samples:
sample_name = sample_index.outputs(input_file=sample)
dataset = {'sample': sample_name[0]['output'], 'classification': 'INVALID',
'description': 'Sample does not cause a crash in the target.', 'hash': ''}
if not lite_db.dataset_exists(dataset):
lite_db.insert_dataset(dataset)
# remove invalid samples from sample index
sample_index.remove_inputs(invalid_samples)
print_warn("Removed %d invalid crash samples from index." % len(invalid_samples))
# generate gdb+exploitable script
if args.gdb_expl_script_file:
divided_index = sample_index.divide(int(args.num_threads))
for i in range(0, int(args.num_threads), 1):
generate_gdb_exploitable_script(os.path.join(out_dir, args.gdb_expl_script_file), divided_index[i],
args.target_cmd, i, intermediate=True)
# execute gdb+exploitable script
classification_data = execute_gdb_script(out_dir, args.gdb_expl_script_file, len(sample_index.inputs()),
int(args.num_threads))
# Submit crash classification data into database
print_ok("Saving sample classification info to database.")
if db_file:
for dataset in classification_data:
if not lite_db.dataset_exists(dataset):
lite_db.insert_dataset(dataset)
# de-dupe by exploitable hash
seen = set()
seen_add = seen.add
classification_data_dedupe = [x for x in classification_data
if x['hash'] not in seen and not seen_add(x['hash'])]
# remove dupe samples identified by exploitable hash
uninteresting_samples = [x['sample'] for x in classification_data
if x not in classification_data_dedupe]
sample_index.remove_outputs(uninteresting_samples)
print_warn("Removed %d duplicate samples from index. Will continue with %d remaining samples." %
(len(uninteresting_samples), len(sample_index.index)))
# remove crash samples that are classified uninteresting
if args.remove_unexploitable:
classification_unexploitable = [
'NOT_EXPLOITABLE',
'PROBABLY_NOT_EXPLOITABLE',
]
uninteresting_samples = []
for c in classification_data_dedupe:
if c['classification'] in classification_unexploitable:
uninteresting_samples.append(c['sample'])
sample_index.remove_outputs(uninteresting_samples)
print_warn("Removed %d uninteresting crash samples from index." % len(uninteresting_samples))
# generate output gdb script
generate_gdb_exploitable_script(os.path.join(out_dir, args.gdb_expl_script_file), sample_index,
args.target_cmd, 0)
elif args.gdb_script_file:
generate_gdb_exploitable_script(os.path.join(out_dir, args.gdb_script_file), sample_index, args.target_cmd)
print_ok("Copying %d samples into output directory..." % len(sample_index.index))
files_collected = copy_samples(sample_index)
# generate filelist of collected crash samples
if args.list_filename:
generate_sample_list(os.path.abspath(os.path.expanduser(args.list_filename)), files_collected)
print_ok("Generated crash sample list '%s'." % os.path.abspath(os.path.expanduser(args.list_filename)))
def main(argv):
show_info()
parser = argparse.ArgumentParser(
description=
"afl-collect copies all crash sample files from an afl sync dir used \
by multiple fuzzers when fuzzing in parallel into a single location providing easy access for further crash analysis.",
usage=
"afl-collect [-d DATABASE] [-e|-g GDB_EXPL_SCRIPT_FILE] [-f LIST_FILENAME]\n \
[-h] [-j THREADS] [-m] [-r] [-rr] sync_dir collection_dir -- target_cmd")
parser.add_argument(
"sync_dir",
help=
"afl synchronisation directory crash samples will be collected from.")
parser.add_argument(
"collection_dir",
help=
"Output directory that will hold a copy of all crash samples and other generated files. \
Existing files in the collection directory will be overwritten!")
parser.add_argument("-d",
"--database",
dest="database_file",
help="Submit sample data into an sqlite3 database (\
only when used together with '-e'). afl-collect skips processing of samples already found in existing database.",
default=None)
parser.add_argument(
"-e",
"--execute-gdb-script",
dest="gdb_expl_script_file",
help=
"Generate and execute a gdb+exploitable script after crash sample collection for crash \
classification. (Like option '-g', plus script execution.)",
default=None)
parser.add_argument(
"-f",
"--filelist",
dest="list_filename",
default=None,
help=
"Writes all collected crash sample filenames into a file in the collection directory."
)
parser.add_argument(
"-g",
"--generate-gdb-script",
dest="gdb_script_file",
help=
"Generate gdb script to run 'exploitable.py' on all collected crash samples. Generated \
script will be placed into collection directory.",
default=None)
parser.add_argument(
"-j",
"--threads",
dest="num_threads",
default=1,
help=
"Enable parallel analysis by specifying the number of threads afl-collect will utilize."
)
parser.add_argument(
"-m",
"--minimize-filenames",
dest="min_filename",
action="store_const",
const=True,
default=False,
help=
"Minimize crash sample file names by only keeping fuzzer name and ID.")
parser.add_argument(
"-r",
"--remove-invalid",
dest="remove_invalid",
action="store_const",
const=True,
default=False,
help=
"Verify collected crash samples and remove samples that do not lead to \
crashes or cause timeouts (runs 'afl-vcrash.py -r' on collection directory). This step is done prior to any script \
file execution or file list generation.")
parser.add_argument(
"-rr",
"--remove-unexploitable",
dest="remove_unexploitable",
action="store_const",
const=True,
default=False,
help="Remove crash samples that have an exploitable classification of \
'NOT_EXPLOITABLE' or 'PROBABLY_NOT_EXPLOITABLE'. Sample file removal will take place after gdb+exploitable \
script execution. Has no effect without '-e'.")
parser.add_argument(
"target_cmd",
nargs="+",
help="Path to the target binary and its command line arguments. \
Use '@@' to specify crash sample input file position (see afl-fuzz usage).")
args = parser.parse_args(argv[1:])
sync_dir = os.path.abspath(os.path.expanduser(args.sync_dir))
if not os.path.exists(sync_dir):
print_err("No valid directory provided for <SYNC_DIR>!")
return
out_dir = os.path.abspath(os.path.expanduser(args.collection_dir))
if not os.path.exists(out_dir):
os.makedirs(out_dir, exist_ok=True)
args.target_cmd = " ".join(args.target_cmd).split()
args.target_cmd[0] = os.path.abspath(os.path.expanduser(
args.target_cmd[0]))
if not os.path.exists(args.target_cmd[0]):
print_err("Target binary not found!")
return
args.target_cmd = " ".join(args.target_cmd)
if args.database_file:
db_file = os.path.abspath(os.path.expanduser(args.database_file))
else:
db_file = None
print_ok("Going to collect crash samples from '%s'." % sync_dir)
# initialize database
if db_file:
lite_db = con_sqlite.sqliteConnector(db_file)
lite_db.init_database('Data', db_table_spec)
else:
lite_db = None
fuzzers = get_fuzzer_instances(sync_dir)
print_ok("Found %d fuzzers, collecting crash samples." % len(fuzzers))
sample_index = build_sample_index(sync_dir, out_dir, fuzzers, lite_db,
args.min_filename)
if len(sample_index.index) > 0:
print_ok("Successfully indexed %d crash samples." %
len(sample_index.index))
elif db_file:
print_warn("No unseen samples found. Check your database for results!")
return
else:
print_warn("No samples found. Check directory settings!")
return
if args.remove_invalid:
from afl_utils import afl_vcrash
invalid_samples, timeout_samples = afl_vcrash.verify_samples(
int(args.num_threads),
sample_index.inputs(),
args.target_cmd,
timeout_secs=10)
# store invalid samples in db
if args.gdb_expl_script_file and db_file:
print_ok("Saving invalid sample info to database.")
for sample in invalid_samples:
sample_name = sample_index.outputs(input_file=sample)
dataset = {
'Sample': sample_name[0],
'Classification': 'INVALID',
'Classification_Description':
'Sample does not cause a crash in the target.',
'Hash': '',
'User_Comment': ''
}
if not lite_db.dataset_exists('Data', dataset, ['Sample']):
lite_db.insert_dataset('Data', dataset)
for sample in timeout_samples:
sample_name = sample_index.outputs(input_file=sample)
dataset = {
'Sample': sample_name[0],
'Classification': 'TIMEOUT',
'Classification_Description':
'Sample caused a target execution timeout.',
'Hash': '',
'User_Comment': ''
}
if not lite_db.dataset_exists('Data', dataset, ['Sample']):
lite_db.insert_dataset('Data', dataset)
# remove invalid samples from sample index
sample_index.remove_inputs(invalid_samples + timeout_samples)
print_warn("Removed %d invalid crash samples from index." %
len(invalid_samples))
print_warn("Removed %d timed out samples from index." %
len(timeout_samples))
# generate gdb+exploitable script
if args.gdb_expl_script_file:
divided_index = sample_index.divide(int(args.num_threads))
for i in range(0, int(args.num_threads), 1):
generate_gdb_exploitable_script(os.path.join(
out_dir, args.gdb_expl_script_file),
divided_index[i],
args.target_cmd,
i,
intermediate=True)
# execute gdb+exploitable script
classification_data = execute_gdb_script(out_dir,
args.gdb_expl_script_file,
len(sample_index.inputs()),
int(args.num_threads))
# Submit crash classification data into database
if db_file:
print_ok("Saving sample classification info to database.")
for dataset in classification_data:
if not lite_db.dataset_exists('Data', dataset, ['Sample']):
lite_db.insert_dataset('Data', dataset)
# de-dupe by exploitable hash
seen = set()
seen_add = seen.add
classification_data_dedupe = [
x for x in classification_data
if x['Hash'] not in seen and not seen_add(x['Hash'])
]
# remove dupe samples identified by exploitable hash
uninteresting_samples = [
x['Sample'] for x in classification_data
if x not in classification_data_dedupe
]
sample_index.remove_outputs(uninteresting_samples)
print_warn(
"Removed %d duplicate samples from index. Will continue with %d remaining samples."
% (len(uninteresting_samples), len(sample_index.index)))
# remove crash samples that are classified uninteresting
if args.remove_unexploitable:
classification_unexploitable = [
'NOT_EXPLOITABLE',
'PROBABLY_NOT_EXPLOITABLE',
]
uninteresting_samples = []
for c in classification_data_dedupe:
if c['Classification'] in classification_unexploitable:
uninteresting_samples.append(c['Sample'])
sample_index.remove_outputs(uninteresting_samples)
print_warn("Removed %d uninteresting crash samples from index." %
len(uninteresting_samples))
# generate output gdb script
generate_gdb_exploitable_script(
os.path.join(out_dir, args.gdb_expl_script_file), sample_index,
args.target_cmd, 0)
elif args.gdb_script_file:
generate_gdb_exploitable_script(
os.path.join(out_dir, args.gdb_script_file), sample_index,
args.target_cmd)
print_ok("Copying %d samples into output directory..." %
len(sample_index.index))
files_collected = copy_samples(sample_index)
# generate filelist of collected crash samples
if args.list_filename:
generate_sample_list(
os.path.abspath(os.path.expanduser(args.list_filename)),
files_collected)
print_ok("Generated crash sample list '%s'." %
os.path.abspath(os.path.expanduser(args.list_filename)))
# write db contents to file and close db connection
if db_file:
lite_db.commit_close()
def test_dump_stats(self):
config_settings = {'fuzz_dirs': ['./testdata/sync/']}
lite_db = con_sqlite.sqliteConnector('./testdata/afl-stats.db',
verbose=True)
self.assertIsNone(afl_stats.dump_stats(config_settings, lite_db))
self.assertTrue(os.path.exists('./testdata/afl-stats.db'))