示例#1
0
class Report:
    def __init__(self):
        self.quark = None

    def analysis(self, apk, rule):

        self.quark = Quark(apk)

        if os.path.isdir(rule):

            rules_list = os.listdir(rule)

            for single_rule in rules_list:
                if single_rule.endswith("json"):
                    rulepath = os.path.join(rule, single_rule)
                    rule_checker = QuarkRule(rulepath)

                    # Run the checker
                    self.quark.run(rule_checker)

                    # Generate json report
                    self.quark.generate_json_report(rule_checker)

        elif os.path.isfile(rule):
            if rule.endswith("json"):
                rule = QuarkRule(rule)
                # Run checker
                self.quark.run(rule)
                # Generate json report
                self.quark.generate_json_report(rule)

    def get_report(self, report_type):

        if report_type == "json":
            return self.quark.get_json_report()
示例#2
0
文件: tasks.py 项目: Pithus/bazaar
def quark_analysis(sha256):
    es.update(index=settings.ELASTICSEARCH_TASKS_INDEX, id=sha256, body={'doc': {'quark_analysis': 1}},
              retry_on_conflict=5)
    with NamedTemporaryFile() as f:
        f.write(default_storage.open(sha256).read())
        f.seek(0)
        data = Quark(f.name)

        rules_path = 'quark-rules'
        rules_list = os.listdir(rules_path)
        for single_rule in tqdm(rules_list):
            if single_rule.endswith('json'):
                rule_path = os.path.join(rules_path, single_rule)
                rule_checker = QuarkRule(rule_path)
                try:
                    data.run(rule_checker)
                    data.generate_json_report(rule_checker)
                except Exception:
                    pass

        json_report = data.get_json_report()
        if json_report:
            es.update(index=settings.ELASTICSEARCH_TASKS_INDEX, id=sha256, body={'doc': {'quark_analysis': 2}},
                      retry_on_conflict=5)
            es.update(index=settings.ELASTICSEARCH_APK_INDEX, id=sha256, body={'doc': {'quark': json_report}},
                      retry_on_conflict=5)
        else:
            es.update(index=settings.ELASTICSEARCH_TASKS_INDEX, id=sha256, body={'doc': {'quark_analysis': -1}},
                      retry_on_conflict=5)

    del json_report, rules_list, data
    return {'status': 'success', 'info': ''}
示例#3
0
class Report:
    """
    This module is for users who want to use quark as a Python module.
    """
    def __init__(self):
        self.quark = None

    def analysis(self, apk, rule):
        """
        The main function of Quark-Engine analysis, the analysis is based on the provided APK file.

        :param apk: the APK file
        :param rule: the rule to be checked, it could be a directory or a single json rule
        :return: None
        """

        self.quark = Quark(apk)

        if os.path.isdir(rule):

            rules_list = os.listdir(rule)

            for single_rule in rules_list:
                if single_rule.endswith("json"):
                    rulepath = os.path.join(rule, single_rule)
                    rule_checker = QuarkRule(rulepath)

                    # Run the checker
                    self.quark.run(rule_checker)

                    # Generate json report
                    self.quark.generate_json_report(rule_checker)

        elif os.path.isfile(rule):
            if rule.endswith("json"):
                rule = QuarkRule(rule)
                # Run checker
                self.quark.run(rule)
                # Generate json report
                self.quark.generate_json_report(rule)

    def get_report(self, report_type):
        """
        Output the Quark-Engine report according to the report_type argument.

        :param report_type: string of the report format
        :return: string of the quark report with the format you specify
        """

        if report_type == "json":
            return self.quark.get_json_report()

        raise ValueError(
            "The format are not supported, please refer to the Quark manual.")
示例#4
0
def quark_analysis(app_dir, apk_file):
    """QUARK Analysis of APK files."""
    if not getattr(settings, 'QUARK_ENABLED', True):
        return []
    try:
        import quark
    except ImportError:
        logger.error('Failed to import Quark')
        return []
    if not Path(apk_file).exists():
        logger.error('APK not found')
        return []

    quark_ver = quark.__version__

    from quark import config
    from quark.freshquark import download
    from quark.Objects.quark import Quark
    from quark.Objects.quarkrule import QuarkRule

    logger.info('Running Quark %s', quark_ver)
    json_report = {}
    try:
        # freshquark: update quark rules
        download()

        # default rules path
        rules_dir = Path(f'{config.HOME_DIR}quark-rules')

        # Load APK
        data = Quark(apk_file)

        # Load rules
        rules_list = rules_dir.rglob('*.json')

        for rule_file in rules_list:
            rule_checker = QuarkRule(rule_file.as_posix())

            # Run the checker
            data.run(rule_checker)

            data.generate_json_report(rule_checker)

        json_report = data.get_json_report()

        # Clear all functools.lru_cache from quark
        data.apkinfo.find_method.cache_clear()
        data.apkinfo.upperfunc.cache_clear()
        data.apkinfo.get_wrapper_smali.cache_clear()
        data.apkinfo.construct_bytecode_instruction.cache_clear()

    except Exception:
        logger.exception('Quark APK Analysis')
    return _convert_report(json_report, app_dir)
示例#5
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def result(scope="function"):
    apk_file = "quark/sample/14d9f1a92dd984d6040cc41ed06e273e.apk"
    data = Quark(apk_file)
    # rule
    rules = "quark/rules"
    rules_list = os.listdir(rules)
    for single_rule in rules_list:
        if single_rule.endswith("json"):
            rulepath = os.path.join(rules, single_rule)
            rule_checker = QuarkRule(rulepath)

            # Run the checker
            data.run(rule_checker)
            data.generate_json_report(rule_checker)

    yield data
示例#6
0
def result(scope="function"):
    r = requests.get(APK_SOURCE, allow_redirects=True)
    open(APK_FILENAME, "wb").write(r.content)

    apk_file = APK_FILENAME
    data = Quark(apk_file)
    # rule
    rules = "quark/rules"
    rules_list = os.listdir(rules)
    for single_rule in rules_list:
        if single_rule.endswith("json"):
            rulepath = os.path.join(rules, single_rule)
            rule_checker = QuarkRule(rulepath)

            # Run the checker
            data.run(rule_checker)
            data.generate_json_report(rule_checker)

    yield data
示例#7
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def entry_point(summary, detail, apk, rule, output, graph, classification):
    """Quark is an Obfuscation-Neglect Android Malware Scoring System"""

    if summary:
        # show summary report
        # Load APK
        data = Quark(apk)

        # Load rules
        rules_list = os.listdir(rule)

        for single_rule in tqdm(rules_list):
            if single_rule.endswith("json"):
                rulepath = os.path.join(rule, single_rule)
                rule_checker = QuarkRule(rulepath)

                # Run the checker
                data.run(rule_checker)

                data.show_summary_report(rule_checker)

        w = Weight(data.quark_analysis.score_sum,
                   data.quark_analysis.weight_sum)
        print_warning(w.calculate())
        print_info("Total Score: " + str(data.quark_analysis.score_sum))
        print(data.quark_analysis.summary_report_table)

        if classification:
            data.show_rule_classification()
        if graph:
            data.show_call_graph()

    if detail:
        # show summary report

        # Load APK
        data = Quark(apk)

        # Load rules
        rules_list = os.listdir(rule)

        for single_rule in tqdm(rules_list):
            if single_rule.endswith("json"):
                rulepath = os.path.join(rule, single_rule)
                print(rulepath)
                rule_checker = QuarkRule(rulepath)

                # Run the checker
                data.run(rule_checker)

                data.show_detail_report(rule_checker)
                print_success("OK")

        if classification:
            data.show_rule_classification()
        if graph:
            data.show_call_graph()

    if output:
        # show json report

        # Load APK
        data = Quark(apk)

        # Load rules
        rules_list = os.listdir(rule)

        for single_rule in tqdm(rules_list):
            if single_rule.endswith("json"):
                rulepath = os.path.join(rule, single_rule)
                rule_checker = QuarkRule(rulepath)

                # Run the checker
                data.run(rule_checker)

                data.generate_json_report(rule_checker)

        json_report = data.get_json_report()

        with open(output, "w") as f:
            json.dump(json_report, f, indent=4)
            f.close()
示例#8
0
def entry_point(
    summary, detail, apk, rule, output, graph, classification, threshold, list
):
    """Quark is an Obfuscation-Neglect Android Malware Scoring System"""

    # Load APK
    data = Quark(apk)

    # Load rules
    rules_list = [x for x in os.listdir(rule) if x.endswith("json")]

    # Show summary report
    if summary:

        for single_rule in tqdm(rules_list):
            rulepath = os.path.join(rule, single_rule)
            rule_checker = QuarkRule(rulepath)

            # Run the checker
            data.run(rule_checker)

            data.show_summary_report(rule_checker, threshold)

        w = Weight(data.quark_analysis.score_sum, data.quark_analysis.weight_sum)
        print_warning(w.calculate())
        print_info("Total Score: " + str(data.quark_analysis.score_sum))
        print(data.quark_analysis.summary_report_table)

        if classification:
            data.show_rule_classification()
        if graph:
            data.show_call_graph()

    # Show detail report
    if detail:

        for single_rule in tqdm(rules_list):
            rulepath = os.path.join(rule, single_rule)
            print(rulepath)
            rule_checker = QuarkRule(rulepath)

            # Run the checker
            data.run(rule_checker)

            data.show_detail_report(rule_checker)
            print_success("OK")

        if classification:
            data.show_rule_classification()
        if graph:
            data.show_call_graph()

    # Show JSON report
    if output:

        for single_rule in tqdm(rules_list):
            rulepath = os.path.join(rule, single_rule)
            rule_checker = QuarkRule(rulepath)

            # Run the checker
            data.run(rule_checker)

            data.generate_json_report(rule_checker)

        json_report = data.get_json_report()

        with open(output, "w") as file:
            json.dump(json_report, file, indent=4)
            file.close()

    if list:

        for api in data.apkinfo.android_apis:
            print(api.full_name)
示例#9
0
def entry_point(
    summary,
    detail,
    apk,
    rule,
    output,
    graph,
    classification,
    threshold,
    list,
    permission,
    label,
):
    """Quark is an Obfuscation-Neglect Android Malware Scoring System"""

    # Load APK
    data = Quark(apk)

    # Load rules
    rules_list = [x for x in os.listdir(rule) if x.endswith("json")]

    if label:
        all_labels = {}
        # dictionary containing
        # key: label
        # value: list of confidence values
        # $ print(all_rules["accessibility service"])
        # > [60, 40, 60, 40, 60, 40]

        for single_rule in tqdm(rules_list):
            rulepath = os.path.join(rule, single_rule)
            rule_checker = QuarkRule(rulepath)
            # Run the checker
            data.run(rule_checker)
            confidence = rule_checker.check_item.count(True) * 20
            labels = rule_checker._label  # array type, e.g. ['network', 'collection']
            for single_label in labels:
                if single_label in all_labels:
                    all_labels[single_label].append(confidence)
                else:
                    all_labels[single_label] = [confidence]

        # get how many label with max confidence >= 80%
        counter_high_confidence = 0
        for single_label in all_labels:
            if max(all_labels[single_label]) >= 80:
                counter_high_confidence += 1

        print_info("Total Label found: " + yellow(str(len(all_labels))))
        print_info("Rules with label which max confidence >= 80%: " +
                   yellow(str(counter_high_confidence)))

        data.show_label_report(rule, all_labels, label)
        print(data.quark_analysis.label_report_table)

    # Show summary report
    if summary:

        if summary == "all_rules":
            label_flag = False
        elif summary.endswith("json"):
            rules_list = [summary]
            label_flag = False
        else:
            label_flag = True

        for single_rule in tqdm(rules_list):
            rulepath = os.path.join(rule, single_rule)
            rule_checker = QuarkRule(rulepath)

            labels = rule_checker._label
            if label_flag:
                if summary not in labels:
                    continue

            # Run the checker
            data.run(rule_checker)

            data.show_summary_report(rule_checker, threshold)

        w = Weight(data.quark_analysis.score_sum,
                   data.quark_analysis.weight_sum)
        print_warning(w.calculate())
        print_info("Total Score: " + str(data.quark_analysis.score_sum))
        print(data.quark_analysis.summary_report_table)

        if classification:
            data.show_rule_classification()
        if graph:
            data.show_call_graph()

    # Show detail report
    if detail:

        if detail == "all_rules":
            label_flag = False
        elif detail.endswith("json"):
            rules_list = [detail]
            label_flag = False
        else:
            label_flag = True

        for single_rule in tqdm(rules_list):
            rulepath = os.path.join(rule, single_rule)
            rule_checker = QuarkRule(rulepath)

            labels = rule_checker._label
            if label_flag:
                if detail not in labels:
                    continue

            # Run the checker
            data.run(rule_checker)

            print("Rulepath: " + rulepath)
            print("Rule crime: " + rule_checker._crime)
            data.show_detail_report(rule_checker)
            print_success("OK")

        if classification:
            data.show_rule_classification()
        if graph:
            data.show_call_graph()

    # Show JSON report
    if output:

        for single_rule in tqdm(rules_list):
            rulepath = os.path.join(rule, single_rule)
            rule_checker = QuarkRule(rulepath)

            # Run the checker
            data.run(rule_checker)

            data.generate_json_report(rule_checker)

        json_report = data.get_json_report()

        with open(output, "w") as file:
            json.dump(json_report, file, indent=4)
            file.close()

    if list:

        if list == "all":
            for all_method in data.apkinfo.all_methods:
                print(all_method.full_name)
        if list == "native":
            for api in data.apkinfo.android_apis:
                print(api.full_name)
        if list == "custom":
            for custom_method in data.apkinfo.custom_methods:
                print(custom_method.full_name)

    if permission:

        for p in data.apkinfo.permissions:
            print(p)