Jacqueline C. K. Lam

43 papers A* 3B 2Journal 27Unranked 11
YearRankTypeTitle / Venue / Authors
2025 conf
EMNLP (Findings)
Yang Han, Jacqueline C. K. Lam, Victor On Kwok Li, Lawrence Y. L. Cheung
2025 J jnl
IEEE Trans. Big Data
Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam, Kelvin Chan, Qi Zhang
2025 A* conf
AAAI
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li, Lawrence Y. L. Cheung
2025 J jnl
CoRR
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li, Lawrence Y. L. Cheung
2025 J jnl
CoRR
Victor O. K. Li, Yang Han, Jacqueline C. K. Lam, Lawrence Y. L. Cheung
2025 J jnl
IEEE Access
Yang Han, Victor O. K. Li, Jacqueline C. K. Lam, Shiguang Song, Tingyu Mo
2025 A* conf
AAAI
Victor O. K. Li, Yang Han, Jacqueline C. K. Lam
2025 J jnl
CoRR
Victor On Kwok Li, Yang Han, Jacqueline C. K. Lam
2024 J jnl
IEEE Access
Yang Han, Shiguang Song, Yangwen Yu, Jacqueline C. K. Lam, Victor O. K. Li
2023 J jnl
IEEE Trans. Affect. Comput.
Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
2023 J jnl
IEEE Trans. Big Data
Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam, Kelvin Chan
2023 J jnl
IEEE Trans. Big Data
Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam
2023 J jnl
IEEE Internet Things J.
Shiguang Song, Victor O. K. Li, Jacqueline C. K. Lam, Yi Wang
2022 J jnl
IEEE Trans. Big Data
Yang Han, Jacqueline C. K. Lam, Victor O. K. Li, Qi Zhang
2022 J jnl
IEEE Access
Qi Zhang, Yang Han, Victor O. K. Li, Jacqueline C. K. Lam
2022 J jnl
IEEE Trans. Affect. Comput.
Yingruo Fan, Victor O. K. Li, Jacqueline C. K. Lam
2022 J jnl
IEEE Trans. Big Data
Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam
2021 J jnl
CoRR
Yang Han, Qi Zhang, Victor O. K. Li, Jacqueline C. K. Lam
2020 J jnl
IEEE Access
Yangwen Yu, James J. Q. Yu, Victor O. K. Li, Jacqueline C. K. Lam
2020 A* conf
AAAI
Yingruo Fan, Jacqueline C. K. Lam, Victor On Kwok Li
2020 J jnl
CoRR
Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
2020 J jnl
IEEE Access
Shiguang Song, Jacqueline C. K. Lam, Yang Han, Victor O. K. Li
2020 J jnl
IEEE Access
Ruiqiao Bai, Jacqueline C. K. Lam, Victor O. K. Li
2019 J jnl
Sensors
Chenxi Sun, Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam
2019 J jnl
IEEE Access
Chenxi Sun, Victor O. K. Li, Jacqueline C. K. Lam, Ian Leslie
2018 conf
IEEE BigData
Yang Han, Jacqueline C. K. Lam, Victor O. K. Li
2018 J jnl
IEEE Internet Things J.
Yao Jing, Bin Guo, Zhu Wang, Victor O. K. Li, Jacqueline C. K. Lam, Zhiwen Yu
2018 J jnl
J. Ambient Intell. Humaniz. Comput.
Tong Guo, Bin Guo, Yi Ouyang, Zhiwen Yu, Jacqueline C. K. Lam, Victor O. K. Li
2018 conf
IEEE BigData
Zhiyi Lu, Jacqueline C. K. Lam, Victor O. K. Li, Yang Han, Zafar Gilani
2018 J jnl
CoRR
Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
2018 conf
ICANN (1)
Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
2018 conf
SECON Workshops
Chenxi Sun, Victor O. K. Li, Jacqueline C. K. Lam
2018 conf
ISC2
Chenxi Sun, Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam
2018 conf
IEEE BigData
Andong Wang, Victor O. K. Li, Jacqueline C. K. Lam
2018 J jnl
IEEE Internet Things J.
Bin Guo, Yan Liu, Leye Wang, Victor O. K. Li, Jacqueline C. K. Lam, Zhiwen Yu
2018 conf
UbiComp/ISWC Adjunct
Yang Han, Victor O. K. Li, Jacqueline C. K. Lam, Zhiyi Lu
2018 conf
IEEE BigData
Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
2018 B conf
ICMI
Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
2017 B conf
GLOBECOM
Victor O. K. Li, Jacqueline C. K. Lam, Yun Chen, Jiatao Gu
2017 conf
IEEE BigData
Yangwen Yu, James Jian Qiao Yu, Victor O. K. Li, Jacqueline C. K. Lam
2012 conf
ICDSC
Wilton Fok, Jacqueline C. K. Lam
2012 J jnl
Int. J. Appl. Logist.
Jacqueline C. K. Lam, Peter Hills, Esther C. T. Wong
2011 J jnl
Int. J. Appl. Logist.
Jacqueline C. K. Lam, Peter Hills
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