Kaibiao Sun

26 papers Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Appl. Math. Comput.
Xinrui Yan, Yuan Tian, Kaibiao Sun
2025 J jnl
J. Syst. Control. Eng.
Zhankui Song, Jiaxu Liu, Kaibiao Sun
2024 J jnl
Math. Comput. Simul.
Yuan Tian, Huanmeng Li, Kaibiao Sun
2024 conf
ASCC
Yanan Bie, Jiajing Tang, Kaibiao Sun
2023 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Yuan Tian, Yan Gao, Kaibiao Sun
2023 J jnl
J. Appl. Math. Comput.
Guo Hua, Yuan Tian, Kaibiao Sun, Xinyu Song
2021 J jnl
J. Frankl. Inst.
Zhankui Song, Kaibiao Sun
2019 J jnl
IEEE Access
Zhankui Song, Kaibiao Sun
2017 J jnl
Appl. Math. Comput.
Kaibiao Sun, Tonghua Zhang, Yuan Tian
2017 J jnl
Appl. Intell.
Lintao Zhou, Hongxing Li, Kaibiao Sun
2016 J jnl
J. Intell. Fuzzy Syst.
Lintao Zhou, Kaibiao Sun, Hongxing Li
2013 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Zhankui Song, Kaibiao Sun
2011 J jnl
Math. Comput. Simul.
Yuan Tian, Kaibiao Sun, Lansun Chen
2011 J jnl
Sci. China Inf. Sci.
Xuehai Yuan, Hongxing Li, Kaibiao Sun
2011 J jnl
Biosyst.
Yuan Tian, Andrzej Kasperski, Kaibiao Sun, Lansun Chen
2011 J jnl
Comput. Chem. Eng.
Kaibiao Sun, Yuan Tian, Lansun Chen, Andrzej Kasperski
2010 J jnl
J. Comput. Appl. Math.
Yuan Tian, Kaibiao Sun, Lansun Chen
2010 J jnl
Comput. Math. Appl.
Kaibiao Sun, Xuehai Yuan, Hongxing Li
2010 J jnl
Math. Comput. Model.
Kaibiao Sun, Yuan Tian, Lansun Chen, Andrzej Kasperski
2010 J jnl
Appl. Soft Comput.
Jinquan Li, Kaibiao Sun, Dehua Xu, Hongxing Li
2009 J jnl
Comput. Math. Appl.
Jinquan Li, Kaibiao Sun, Hongxing Li
2009 J jnl
Inf. Sci.
Yunqiang Yin, Dehua Xu, Kaibiao Sun, Hongxing Li
2009 conf
ICFIE
Xue-Hai Yuan, Hongxing Li, Kaibiao Sun
2008 J jnl
Comput. Oper. Res.
Dehua Xu, Kaibiao Sun, Hongxing Li
2008 conf
ACFIE
Kaibiao Sun, Hongxing Li
2007 conf
ICFIE
Yumei Li, Yundong Gu, Kaibiao Sun, Hongxing Li
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