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Merge pull request #1683 from Aayush-Goel-04/Aayush-Goel-04/Issue#331
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#!/usr/bin/env python3 | ||
""" | ||
Copyright (C) 2023 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 os | ||
import sys | ||
import typing | ||
import logging | ||
import argparse | ||
from typing import Set, Tuple | ||
from pathlib import Path | ||
from collections import Counter | ||
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import tabulate | ||
from termcolor import colored | ||
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import capa.main | ||
import capa.rules | ||
import capa.helpers | ||
import capa.features | ||
import capa.exceptions | ||
import capa.render.verbose as v | ||
import capa.features.common | ||
import capa.features.freeze | ||
import capa.features.address | ||
import capa.features.extractors.pefile | ||
import capa.features.extractors.base_extractor | ||
from capa.helpers import log_unsupported_runtime_error | ||
from capa.features.common import Feature | ||
from capa.features.extractors.base_extractor import FunctionHandle | ||
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logger = logging.getLogger("show-unused-features") | ||
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def format_address(addr: capa.features.address.Address) -> str: | ||
return v.format_address(capa.features.freeze.Address.from_capa((addr))) | ||
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def get_rules_feature_set(rules_path) -> Set[Feature]: | ||
ruleset = capa.main.get_rules(rules_path) | ||
rules_feature_set: Set[Feature] = set() | ||
for _, rule in ruleset.rules.items(): | ||
rules_feature_set.update(rule.extract_all_features()) | ||
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return rules_feature_set | ||
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def get_file_features( | ||
functions: Tuple[FunctionHandle, ...], extractor: capa.features.extractors.base_extractor.FeatureExtractor | ||
) -> typing.Counter[Feature]: | ||
feature_map: typing.Counter[Feature] = Counter() | ||
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for f in functions: | ||
if extractor.is_library_function(f.address): | ||
function_name = extractor.get_function_name(f.address) | ||
logger.debug("skipping library function %s (%s)", format_address(f.address), function_name) | ||
continue | ||
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for feature, _ in extractor.extract_function_features(f): | ||
if capa.features.common.is_global_feature(feature): | ||
continue | ||
feature_map.update([feature]) | ||
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for bb in extractor.get_basic_blocks(f): | ||
for feature, _ in extractor.extract_basic_block_features(f, bb): | ||
if capa.features.common.is_global_feature(feature): | ||
continue | ||
feature_map.update([feature]) | ||
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for insn in extractor.get_instructions(f, bb): | ||
for feature, _ in extractor.extract_insn_features(f, bb, insn): | ||
if capa.features.common.is_global_feature(feature): | ||
continue | ||
feature_map.update([feature]) | ||
return feature_map | ||
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def get_colored(s: str): | ||
if "(" in s and ")" in s: | ||
s_split = s.split("(", 1) | ||
s_color = colored(s_split[1][:-1], "cyan") | ||
return f"{s_split[0]}({s_color})" | ||
else: | ||
return colored(s, "cyan") | ||
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def print_unused_features(feature_map: typing.Counter[Feature], rules_feature_set: Set[Feature]): | ||
unused_features = [] | ||
for feature, count in reversed(feature_map.most_common()): | ||
if feature in rules_feature_set: | ||
continue | ||
unused_features.append((str(count), get_colored(str(feature)))) | ||
print("\n") | ||
print(tabulate.tabulate(unused_features, headers=["Count", "Feature"], tablefmt="plain")) | ||
print("\n") | ||
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def main(argv=None): | ||
if argv is None: | ||
argv = sys.argv[1:] | ||
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parser = argparse.ArgumentParser(description="Show the features that capa doesn't have rules for yet") | ||
capa.main.install_common_args(parser, wanted={"format", "os", "sample", "signatures", "backend", "rules"}) | ||
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parser.add_argument("-F", "--function", type=str, help="Show features for specific function") | ||
args = parser.parse_args(args=argv) | ||
capa.main.handle_common_args(args) | ||
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if args.function and args.backend == "pefile": | ||
print("pefile backend does not support extracting function features") | ||
return -1 | ||
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try: | ||
taste = capa.helpers.get_file_taste(Path(args.sample)) | ||
except IOError as e: | ||
logger.error("%s", str(e)) | ||
return -1 | ||
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try: | ||
sig_paths = capa.main.get_signatures(args.signatures) | ||
except IOError as e: | ||
logger.error("%s", str(e)) | ||
return -1 | ||
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if (args.format == "freeze") or ( | ||
args.format == capa.features.common.FORMAT_AUTO and capa.features.freeze.is_freeze(taste) | ||
): | ||
extractor = capa.features.freeze.load(Path(args.sample).read_bytes()) | ||
else: | ||
should_save_workspace = os.environ.get("CAPA_SAVE_WORKSPACE") not in ("0", "no", "NO", "n", None) | ||
try: | ||
extractor = capa.main.get_extractor( | ||
args.sample, args.format, args.os, args.backend, sig_paths, should_save_workspace | ||
) | ||
except capa.exceptions.UnsupportedFormatError: | ||
capa.helpers.log_unsupported_format_error() | ||
return -1 | ||
except capa.exceptions.UnsupportedRuntimeError: | ||
log_unsupported_runtime_error() | ||
return -1 | ||
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feature_map: typing.Counter[Feature] = Counter() | ||
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feature_map.update([feature for feature, _ in extractor.extract_global_features()]) | ||
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function_handles: Tuple[FunctionHandle, ...] | ||
if isinstance(extractor, capa.features.extractors.pefile.PefileFeatureExtractor): | ||
# pefile extractor doesn't extract function features | ||
function_handles = () | ||
else: | ||
function_handles = tuple(extractor.get_functions()) | ||
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if args.function: | ||
if args.format == "freeze": | ||
function_handles = tuple(filter(lambda fh: fh.address == args.function, function_handles)) | ||
else: | ||
function_handles = tuple(filter(lambda fh: format_address(fh.address) == args.function, function_handles)) | ||
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if args.function not in [format_address(fh.address) for fh in function_handles]: | ||
print(f"{args.function} not a function") | ||
return -1 | ||
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if len(function_handles) == 0: | ||
print(f"{args.function} not a function") | ||
return -1 | ||
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feature_map.update(get_file_features(function_handles, extractor)) | ||
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rules_feature_set = get_rules_feature_set(args.rules) | ||
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print_unused_features(feature_map, rules_feature_set) | ||
return 0 | ||
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def ida_main(): | ||
import idc | ||
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import capa.main | ||
import capa.features.extractors.ida.extractor | ||
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function = idc.get_func_attr(idc.here(), idc.FUNCATTR_START) | ||
print(f"getting features for current function {hex(function)}") | ||
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extractor = capa.features.extractors.ida.extractor.IdaFeatureExtractor() | ||
feature_map: typing.Counter[Feature] = Counter() | ||
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feature_map.update([feature for feature, _ in extractor.extract_file_features()]) | ||
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function_handles = tuple(extractor.get_functions()) | ||
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if function: | ||
function_handles = tuple(filter(lambda fh: fh.inner.start_ea == function, function_handles)) | ||
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if len(function_handles) == 0: | ||
print(f"{hex(function)} not a function") | ||
return -1 | ||
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feature_map.update(get_file_features(function_handles, extractor)) | ||
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rules_path = capa.main.get_default_root() / "rules" | ||
rules_feature_set = get_rules_feature_set([rules_path]) | ||
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print_unused_features(feature_map, rules_feature_set) | ||
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return 0 | ||
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if __name__ == "__main__": | ||
if capa.helpers.is_runtime_ida(): | ||
ida_main() | ||
else: | ||
sys.exit(main()) |
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