Wanyi Li

34 papers A* 2B 2C 1Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
IEEE Trans. Cogn. Dev. Syst.
Wanyi Li, Wei Wei, Peng Wang
2024 J jnl
IEEE Trans. Robotics
Wei Wei, Peng Wang, Sizhe Wang, Yongkang Luo, Wanyi Li, Daheng Li, Yayu Huang, Haonan Duan
2024 J jnl
IEEE Trans. Cogn. Dev. Syst.
Yongkang Luo, Wanyi Li, Peng Wang, Haonan Duan, Wei Wei, Jia Sun
2023 J jnl
J. Vis. Commun. Image Represent.
Yunqian He, Zhi Zhang, Zhe Wang, Yongkang Luo, Li Su, Wanyi Li, Peng Wang, Wen Zhang
2023 J jnl
Pattern Recognit. Lett.
Qiuyu Zhang, Lipeng Wang, Wanyi Li, Hao Meng, Wen Zhang, Zhi Zhang, Peng Wang
2023 J jnl
CoRR
Yongkang Luo, Wanyi Li, Peng Wang, Haonan Duan, Wei Wei, Jia Sun
2022 J jnl
CoRR
Wei Wei, Daheng Li, Peng Wang, Yiming Li, Wanyi Li, Yongkang Luo, Jun Zhong
2022 J jnl
IEEE Robotics Autom. Lett.
Wei Wei, Daheng Li, Peng Wang, Yiming Li, Wanyi Li, Yongkang Luo, Jun Zhong
2022 J jnl
Neurocomputing
Yuxin Sun, Li Su, Yongkang Luo, Hao Meng, Wanyi Li, Zhi Zhang, Peng Wang, Wen Zhang
2022 A* conf
ICRA
Yiming Li, Wei Wei, Daheng Li, Peng Wang, Wanyi Li, Jun Zhong
2021 J jnl
IEEE Trans. Instrum. Meas.
Wen Zhang, Xujie He, Wanyi Li, Zhi Zhang, Yongkang Luo, Li Su, Peng Wang
2021 J jnl
IEEE Trans. Instrum. Meas.
Chenlin Zhou, Daheng Li, Peng Wang, Jia Sun, Yikun Huang, Wanyi Li
2021 J jnl
Neurocomputing
Yunqian He, Guihua Xia, Yongkang Luo, Li Su, Zhi Zhang, Wanyi Li, Peng Wang
2021 A* conf
ICRA
Wei Wei, Yongkang Luo, Fuyu Li, Guangyun Xu, Jun Zhong, Wanyi Li, Peng Wang
2021 J jnl
CoRR
Wei Wei, Yongkang Luo, Fuyu Li, Guangyun Xu, Jun Zhong, Wanyi Li, Peng Wang
2021 J jnl
Mob. Inf. Syst.
Peng Liu, Fuyu Li, Shanshan Yuan, Wanyi Li
2020 J jnl
Image Vis. Comput.
Wen Zhang, Xujie He, Wanyi Li, Zhi Zhang, Yongkang Luo, Li Su, Peng Wang
2020 conf
SSCI
Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang, Jia Sun
2020 J jnl
CoRR
Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang
2020 J jnl
Sensors
Feng Yang, Wentong Li, Haiwei Hu, Wanyi Li, Peng Wang
2020 J jnl
CoRR
Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang
2019 conf
SSCI
Wanyi Li, Jia Sun, Yongkang Luo, Peng Wang
2019 J jnl
Sensors
Weiping Liu, Jia Sun, Wanyi Li, Ting Hu, Peng Wang
2019 J jnl
Symmetry
Jiangyong An, Wanyi Li, Maosong Li, Sanrong Cui, Huanran Yue
2019 C conf
IGARSS
Wentong Li, Wanyi Li, Feng Yang, Peng Wang
2019 conf
ICIG (3)
Feng Yang, Wentong Li, Wanyi Li, Peng Wang
2019 J jnl
IEEE Trans. Instrum. Meas.
Jia Sun, Peng Wang, Yong-Kang Luo, Wanyi Li
2016 B conf
SMC
Peng Wang, Yongkang Luo, Wanyi Li, Hong Qiao
2016 conf
ROBIO
Wanyi Li, Yongkang Luo, Peng Wang, Zhengke Qin, Hai Zhou, Hong Qiao
2016 J jnl
Signal Process. Image Commun.
Wanyi Li, Peng Wang, Hong Qiao
2015 J jnl
Neurocomputing
Wanyi Li, Peng Wang, Rui Jiang, Hong Qiao
2014 B conf
ICPR
Wanyi Li, Peng Wang, Hong Qiao
2013 conf
ICDIP
Wanyi Li, Peng Wang, Hong Qiao
2012 conf
IIP
Wanyi Li, Peng Wang, Hong Qiao
redb/extractors/malcontent.py
← Index redb/extractors/malcontent.py python
import inspect
import json
import subprocess
from typing import Any
from datetime import datetime, timezone

from redb.extractors.enum import Tag
from redb.models.dataclasses import Malcontent
from redb.extractors.extractor import Extractor
from dotenv import load_dotenv
import os

load_dotenv(override=True)


class MalcontentExtractor(Extractor):
    """
    Extractor for malcontent tool from chainguard-dev/malcontent.

    Malcontent discovers supply-chain compromises through context, differential
    analysis, and 14,000+ YARA rules. It analyzes binaries and code to detect
    malicious content and suspicious behavioral patterns.

    Binary can be extracted from Docker image:
        docker cp $(docker create cgr.dev/chainguard/malcontent:latest):/usr/bin/mal /usr/local/bin/mal

    Stores full JSON output for materialized view extraction.
    """

    # Cache version at class level to avoid repeated subprocess calls
    _cached_version = None

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious
        )
        self.malcontent = None

    @classmethod
    def _get_malcontent_version(cls, log) -> str:
        """Get malcontent version, cached at class level."""
        if cls._cached_version is not None:
            return cls._cached_version

        malcontent_path = os.getenv("MALCONTENT_PATH", "/usr/local/bin/mal")
        try:
            result = subprocess.run(
                [malcontent_path, "--version"],
                capture_output=True,
                text=True,
                timeout=10
            )
            version_output = result.stdout.strip()
            if result.returncode == 0 and version_output:
                # Parse "malcontent version v1.21.5" -> "1.21.5"
                if version_output.startswith("malcontent version v"):
                    version_output = version_output[len("malcontent version v"):]
                elif version_output.startswith("malcontent version "):
                    version_output = version_output[len("malcontent version "):]
                cls._cached_version = version_output
            else:
                cls._cached_version = "unknown"
        except Exception as e:
            log.warning(f"Could not get malcontent version: {e}")
            cls._cached_version = "unknown"

        return cls._cached_version

    def _extract_malcontent(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        TIMEOUT = int(os.getenv("MALCONTENT_TIMEOUT", "300"))
        malcontent_path = os.getenv("MALCONTENT_PATH", "/usr/local/bin/mal")

        malcontent_command = [malcontent_path, "analyze", "--format=json", self.filepath]

        import signal

        try:
            process = subprocess.Popen(
                malcontent_command,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                text=True,
                preexec_fn=os.setsid
            )

            try:
                stdout, stderr = process.communicate(timeout=TIMEOUT)
                if process.returncode != 0:
                    self.log.error(f"Error running malcontent, return code: {process.returncode}, stderr: {stderr}")
                    return {}
            except subprocess.TimeoutExpired:
                self.log.warning(f"The malcontent command timed out after {TIMEOUT} seconds, terminating process group")
                try:
                    os.killpg(process.pid, signal.SIGTERM)
                    try:
                        process.wait(timeout=3)
                    except subprocess.TimeoutExpired:
                        self.log.warning("Process didn't terminate with SIGTERM, sending SIGKILL")
                        os.killpg(process.pid, signal.SIGKILL)
                    process.wait()
                except (ProcessLookupError, OSError) as e:
                    self.log.warning(f"Error while killing process: {e}")
                return {}

            try:
                malcontent_output = json.loads(stdout)
            except json.JSONDecodeError as e:
                self.log.error(f"Error parsing malcontent output: {e}")
                return {}

            # Unwrap the Files/<path> structure to get the inner content
            # Structure is: {"Files": {"/path/to/file": {<actual content>}}}
            files_dict = malcontent_output.get("Files", {})
            if not files_dict:
                self.log.warning("Malcontent output has no 'Files' key")
                return {}

            # Get the first (and only) file's content
            file_content = next(iter(files_dict.values()), {})
            if not file_content:
                self.log.warning("Malcontent output has empty file content")
                return {}

            # Extract risk score and level from the unwrapped content
            risk_score = file_content.get("RiskScore", 0)
            risk_level = file_content.get("RiskLevel", "")

            version = self._get_malcontent_version(self.log)

            self.malcontent = Malcontent(
                malcontent_dump=json.dumps(file_content),
                version=version,
                risk_score=risk_score,
                risk_level=risk_level
            )
            self.log.debug(f"Malcontent analysis complete, version={version}, risk={risk_level}({risk_score})")

        except Exception as e:
            self.log.error(f"Unexpected error in malcontent extraction: {str(e)}")
            if 'process' in locals() and process.poll() is None:
                try:
                    os.killpg(process.pid, signal.SIGKILL)
                    process.wait()
                except:
                    pass
            return {}

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            current_time = datetime.now(timezone.utc)

            data = [[
                self.sha256,
                current_time,
                self.malcontent.version,
                self.malcontent.risk_score,
                self.malcontent.risk_level,
                self.malcontent.malcontent_dump
            ]]

            column_names = [
                'sha256', 'analysis_date',
                'malcontent_version', 'malcontent_risk_score', 'malcontent_risk_level',
                'malcontent_json'
            ]

            column_type_names = [
                'FixedString(64)',
                'DateTime64(3, \'UTC\')',
                'LowCardinality(String)', 'UInt8', 'LowCardinality(String)',
                'JSON'
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_malcontent"

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_malcontent()
            return self.malcontent
        except Exception as e:
            self.log.error(f"Error extracting malcontent: {e}")
            return None

    def tag(self):
        return Tag.MALCONTENT.value