detect and use third-party analysis backends when possible (#2380)

* introduce script to detect 3P backends

ref #2376

* add idalib backend

* binary ninja: search for API using XDG desktop entry

ref #2376

* binja: search more XDG locations for desktop entry

* binary ninja: optimize embedded PE scanning

closes #2397

* add script for comparing the performance of analysis backends
This commit is contained in:
Willi Ballenthin
2024-09-26 11:21:55 +00:00
committed by GitHub
parent 12337be2b7
commit bcd57a9af1
14 changed files with 818 additions and 72 deletions

316
scripts/compare-backends.py Normal file
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# Copyright (C) 2024 Mandiant, Inc. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at: [package root]/LICENSE.txt
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and limitations under the License.
import sys
import json
import time
import logging
import argparse
import contextlib
import statistics
import subprocess
import multiprocessing
from typing import Set, Dict, List, Optional
from pathlib import Path
from collections import Counter
from dataclasses import dataclass
from multiprocessing import Pool
import rich
import rich.box
import rich.table
import capa.main
logger = logging.getLogger("capa.compare-backends")
BACKENDS = ("vivisect", "ida", "binja")
@dataclass
class CapaInvocation:
path: Path
backend: str
duration: float
returncode: int
stdout: Optional[str]
stderr: Optional[str]
err: Optional[str]
def invoke_capa(file: Path, backend: str) -> CapaInvocation:
stdout = None
stderr = None
err = None
returncode: int
try:
logger.debug("run capa: %s: %s", backend, file.name)
t1 = time.time()
child = subprocess.run(
["python", "-m", "capa.main", "--json", "--backend=" + backend, str(file)],
capture_output=True,
check=True,
text=True,
encoding="utf-8",
)
returncode = child.returncode
stdout = child.stdout
stderr = child.stderr
except subprocess.CalledProcessError as e:
returncode = e.returncode
stdout = e.stdout
stderr = e.stderr
logger.debug("%s:%s: error", backend, file.name)
err = str(e)
else:
pass
finally:
t2 = time.time()
return CapaInvocation(
path=file,
backend=backend,
duration=t2 - t1,
returncode=returncode,
stdout=stdout,
stderr=stderr,
err=err,
)
def wrapper_invoke_capa(args):
file, backend = args
return invoke_capa(file, backend)
def collect(args):
results_path = args.results_path
if not results_path.is_file():
default_doc = {backend: {} for backend in BACKENDS} # type: ignore
results_path.write_text(json.dumps(default_doc), encoding="utf-8")
testfiles = Path(__file__).parent.parent / "tests" / "data"
for file in sorted(p for p in testfiles.glob("*")):
# remove leftover analysis files
# because IDA doesn't cleanup after itself, currently.
if file.suffix in (".til", ".id0", ".id1", ".id2", ".nam", ".viv"):
logger.debug("removing: %s", file)
with contextlib.suppress(IOError):
file.unlink()
doc = json.loads(results_path.read_text(encoding="utf-8"))
plan = []
for file in sorted(p for p in testfiles.glob("*")):
if not file.is_file():
continue
if file.is_dir():
continue
if file.name.startswith("."):
continue
if file.suffix not in (".exe_", ".dll_", ".elf_", ""):
continue
logger.debug("%s", file.name)
key = str(file)
for backend in BACKENDS:
if (backend, file.name) in {
("binja", "0953cc3b77ed2974b09e3a00708f88de931d681e2d0cb64afbaf714610beabe6.exe_")
}:
# this file takes 38GB+ and 20hrs+
# https://github.com/Vector35/binaryninja-api/issues/5951
continue
if key in doc[backend]:
if not args.retry_failures:
continue
if not doc[backend][key]["err"]:
# didn't previously fail, don't repeat work
continue
else:
# want to retry this previous failure
pass
plan.append((file, backend))
pool_size = multiprocessing.cpu_count() // 2
logger.info("work pool size: %d", pool_size)
with Pool(processes=pool_size) as pool:
for i, result in enumerate(pool.imap_unordered(wrapper_invoke_capa, plan)):
doc[result.backend][str(result.path)] = {
"path": str(result.path),
"returncode": result.returncode,
"stdout": result.stdout,
"stderr": result.stderr,
"err": result.err,
"duration": result.duration,
}
if i % 8 == 0:
logger.info("syncing output database")
results_path.write_text(json.dumps(doc))
logger.info(
"%.1f\t%s %s %s",
result.duration,
"(err)" if result.err else " ",
result.backend.ljust(8),
result.path.name,
)
results_path.write_text(json.dumps(doc))
return
def report(args):
doc = json.loads(args.results_path.read_text(encoding="utf-8"))
samples = set()
for backend in BACKENDS:
samples.update(doc[backend].keys())
failures_by_backend: Dict[str, Set[str]] = {backend: set() for backend in BACKENDS}
durations_by_backend: Dict[str, List[float]] = {backend: [] for backend in BACKENDS}
console = rich.get_console()
for key in sorted(samples):
sample = Path(key).name
console.print(sample, style="bold")
seen_rules: Counter[str] = Counter()
rules_by_backend: Dict[str, Set[str]] = {backend: set() for backend in BACKENDS}
for backend in BACKENDS:
if key not in doc[backend]:
continue
entry = doc[backend][key]
duration = entry["duration"]
if not entry["err"]:
matches = json.loads(entry["stdout"])["rules"].keys()
seen_rules.update(matches)
rules_by_backend[backend].update(matches)
durations_by_backend[backend].append(duration)
console.print(f" {backend: >8}: {duration: >6.1f}s {len(matches): >3d} matches")
else:
failures_by_backend[backend].add(sample)
console.print(f" {backend: >8}: {duration: >6.1f}s (error)")
if not seen_rules:
console.print()
continue
t = rich.table.Table(box=rich.box.SIMPLE, header_style="default")
t.add_column("viv")
t.add_column("ida")
t.add_column("bn")
t.add_column("rule")
for rule, _ in seen_rules.most_common():
t.add_row(
"x" if rule in rules_by_backend["vivisect"] else " ",
"x" if rule in rules_by_backend["ida"] else " ",
"x" if rule in rules_by_backend["binja"] else " ",
rule,
)
console.print(t)
for backend in BACKENDS:
console.print(f"failures for {backend}:", style="bold")
for failure in sorted(failures_by_backend[backend]):
console.print(f" - {failure}")
if not failures_by_backend[backend]:
console.print(" (none)", style="green")
console.print()
console.print("durations:", style="bold")
console.print(" (10-quantiles, in seconds)", style="grey37")
for backend in BACKENDS:
q = statistics.quantiles(durations_by_backend[backend], n=10)
console.print(f" {backend: <8}: ", end="")
for i in range(9):
if i in (4, 8):
style = "bold"
else:
style = "default"
console.print(f"{q[i]: >6.1f}", style=style, end=" ")
console.print()
console.print(" ^-- 10% of samples took less than this ^", style="grey37")
console.print(" 10% of samples took more than this -----------------+", style="grey37")
console.print()
for backend in BACKENDS:
total = sum(durations_by_backend[backend])
successes = len(durations_by_backend[backend])
avg = statistics.mean(durations_by_backend[backend])
console.print(
f" {backend: <8}: {total: >7.0f} seconds across {successes: >4d} successful runs, {avg: >4.1f} average"
)
console.print()
console.print("slowest samples:", style="bold")
for backend in BACKENDS:
console.print(backend)
for duration, path in sorted(
((d["duration"], Path(d["path"]).name) for d in doc[backend].values()), reverse=True
)[:5]:
console.print(f" - {duration: >6.1f} {path}")
return
def main(argv=None):
if argv is None:
argv = sys.argv[1:]
default_samples_path = Path(__file__).resolve().parent.parent / "tests" / "data"
parser = argparse.ArgumentParser(description="Compare analysis backends.")
capa.main.install_common_args(
parser,
wanted=set(),
)
subparsers = parser.add_subparsers()
collect_parser = subparsers.add_parser("collect")
collect_parser.add_argument("results_path", type=Path, help="Path to output JSON file")
collect_parser.add_argument("--samples", type=Path, default=default_samples_path, help="Path to samples")
collect_parser.add_argument("--retry-failures", action="store_true", help="Retry previous failures")
collect_parser.set_defaults(func=collect)
report_parser = subparsers.add_parser("report")
report_parser.add_argument("results_path", type=Path, help="Path to JSON file")
report_parser.set_defaults(func=report)
args = parser.parse_args(args=argv)
try:
capa.main.handle_common_args(args)
except capa.main.ShouldExitError as e:
return e.status_code
args.func(args)
if __name__ == "__main__":
sys.exit(main())

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# Copyright (C) 2024 Mandiant, Inc. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at: [package root]/LICENSE.txt
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and limitations under the License.
import sys
import logging
import argparse
import importlib.util
import rich
import rich.table
import capa.main
from capa.features.extractors.ida.idalib import find_idalib, load_idalib, is_idalib_installed
from capa.features.extractors.binja.find_binja_api import find_binaryninja, load_binaryninja, is_binaryninja_installed
logger = logging.getLogger(__name__)
def is_vivisect_installed() -> bool:
try:
return importlib.util.find_spec("vivisect") is not None
except ModuleNotFoundError:
return False
def load_vivisect() -> bool:
try:
import vivisect # noqa: F401 unused import
return True
except ImportError:
return False
def main(argv=None):
if argv is None:
argv = sys.argv[1:]
parser = argparse.ArgumentParser(description="Detect analysis backends.")
capa.main.install_common_args(parser, wanted=set())
args = parser.parse_args(args=argv)
try:
capa.main.handle_common_args(args)
except capa.main.ShouldExitError as e:
return e.status_code
if args.debug:
logging.getLogger("capa").setLevel(logging.DEBUG)
logging.getLogger("viv_utils").setLevel(logging.DEBUG)
else:
logging.getLogger("capa").setLevel(logging.ERROR)
logging.getLogger("viv_utils").setLevel(logging.ERROR)
table = rich.table.Table()
table.add_column("backend")
table.add_column("already installed?")
table.add_column("found?")
table.add_column("loads?")
if True:
row = ["vivisect"]
if is_vivisect_installed():
row.append("True")
row.append("-")
else:
row.append("False")
row.append("False")
row.append(str(load_vivisect()))
table.add_row(*row)
if True:
row = ["Binary Ninja"]
if is_binaryninja_installed():
row.append("True")
row.append("-")
else:
row.append("False")
row.append(str(find_binaryninja() is not None))
row.append(str(load_binaryninja()))
table.add_row(*row)
if True:
row = ["IDA idalib"]
if is_idalib_installed():
row.append("True")
row.append("-")
else:
row.append("False")
row.append(str(find_idalib() is not None))
row.append(str(load_idalib()))
table.add_row(*row)
rich.print(table)
if __name__ == "__main__":
sys.exit(main())