Na Zhang

23 papers Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Medical Image Anal.
Haizhou Liu, Xueling Qin, Zhou Liu, Yuxi Jin, Heng Jiang, Yunlong Gao, Jidong Han, Yijia Zheng, Heng Sun, Lingtao Mao, François Hild, Hairong Zheng, Dong Liang, Na Zhang, Jiuping Liang, Dehong Luo, Zhanli Hu
2025 conf
ISAIMS
Shiji Li, Hao Chen, Dongnan Zhao, Ke Zhang, Na Zhang
2025 J jnl
Comput. Medical Imaging Graph.
Junhui Huang, Yongsheng Ao, Lan Mu, Jierui Zhao, Hongliang Chen, Long Yang, Bingyu Yao, Shuheng Zhang, Shimin Yang, Greta S. P. Mok, Ke Zhang, Zhanli Hu, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, Lihua Qiu, Na Zhang
2025 J jnl
Medical Biol. Eng. Comput.
Junjie Li, Xuanle Li, Yingge Chen, Yunling Wang, Binjie Wang, Xuefeng Zhang, Na Zhang
2025 conf
MICCAI (11)
Wenbo Li, Zhenxing Huang, Lianghua Li, Chunyan Yang, Yihan Wang, Wenjian Qin, Na Zhang, Hairong Zheng, Dong Liang, Jianjun Liu, Zhanli Hu
2024 J jnl
IEEE Trans. Medical Imaging
Minghan Fu, Na Zhang, Zhenxing Huang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu
2024 J jnl
Biomed. Signal Process. Control.
Junhui Huang, Shangpo Yang, Liyan Zou, Yingying Chen, Long Yang, Bingyu Yao, Zhenxing Huang, Yihong Zhong, Zhou Liu, Na Zhang
2023 J jnl
IEEE J. Biomed. Health Informatics
Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu
2023 J jnl
Signal Process.
Zhi-Feng Pang, Mengxiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang, Zhanli Hu
2023 J jnl
Biomed. Signal Process. Control.
Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang, Guotao Quan, Xiang Li, Dong Liang, Zhanli Hu
2023 J jnl
Artif. Intell. Medicine
Zhenxing Huang, Wenbo Li, Yunling Wang, Zhou Liu, Qiyang Zhang, Yuxi Jin, Ruodai Wu, Guotao Quan, Dong Liang, Zhanli Hu, Na Zhang
2022 J jnl
IEEE Trans. Biomed. Eng.
Zixiang Chen, Yaping Wu, Na Zhang, Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
2022 J jnl
Comput. Methods Programs Biomed.
Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wang, Dong Liang, Tianye Niu, Xiaohua Zhu, Zhanli Hu
2022 J jnl
CoRR
Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wang, Dong Liang, Tianye Niu, Xiaohua Zhu, Zhanli Hu
2022 J jnl
Comput. Biol. Medicine
Guoshuai Wang, Zhou Liu, Zhengyong Huang, Na Zhang, Honghong Luo, Lijian Liu, Hao Shen, Canwen Che, Tianye Niu, Dong Liang, Dehong Luo, Zhanli Hu
2022 J jnl
Comput. Methods Programs Biomed.
Zhenxing Huang, Zhou Liu, Pin He, Ya Ren, Shuluan Li, Yuanyuan Lei, Dehong Luo, Dong Liang, Dan Shao, Zhanli Hu, Na Zhang
2021 J jnl
Frontiers Comput. Neurosci.
Zhanglei Ouyang, Shujun Zhao, Zhaoping Cheng, Yanhua Duan, Zixiang Chen, Na Zhang, Dong Liang, Zhanli Hu
2020 conf
ICMHI
Xia Wu, Yulong Qi, Fei Feng, Guanxun Cheng, Na Zhang
2020 J jnl
IEEE J. Sel. Top. Signal Process.
Qiyang Zhang, Juan Gao, Yongshuai Ge, Na Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu
2017 conf
CISP-BMEI
Juan Gao, Yunsong Qi, Changhui Jiang, Na Zhang, Zhanli Hu
2015 J jnl
J. Electronic Imaging
Duan-Duan Liu, Dong Liang, Na Zhang, Xin Liu, Yuan-Ting Zhang
2013 conf
EMBC
Yuqiong Ding, Leslie Ying, Na Zhang, Dong Liang
2013 conf
EMBC
Duan-Duan Liu, Dong Liang, Na Zhang, Xin Liu, Yuan-Ting Zhang
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