Nasrollah Moghadam Charkari

35 papers Journal 27Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Soft Comput.
Farzaneh Rajaee Abyaneh, Nasrollah Moghadam Charkari, Mehdy Roayaei
2025 J jnl
Knowl. Based Syst.
Sajjad Tofighy, Nasrollah Moghadam Charkari, Foad Ghaderi
2025 J jnl
CoRR
Mohammad Molaee, Nasrollah Moghadam Charkari
2024 J jnl
IEEE Access
Seyedeh Negin Seyed Fakhari, Foad Ghaderi, Mehdi Tehrani-Doost, Nasrollah Moghadam Charkari
2024 J jnl
Soc. Netw. Anal. Min.
Hadi Shakibian, Nasrollah Moghadam Charkari
2023 J jnl
Biomed. Signal Process. Control.
Seyedeh Negin Seyed Fakhari, Foad Ghaderi, Mehdi Tehrani-Doost, Nasrollah Moghadam Charkari
2023 J jnl
IEEE Trans. Comput. Soc. Syst.
Behnam Razaghi, Mehdy Roayaei, Nasrollah Moghadam Charkari
2023 J jnl
J. Grid Comput.
Reyhaneh Noorabad, Nasrollah Moghadam Charkari, Sadegh Dorri Nogoorani
2022 J jnl
Appl. Soft Comput.
Seyed Abbas Daneshyar, Nasrollah Moghadam Charkari
2022 J jnl
Soc. Netw. Anal. Min.
Hadi Shakibian, Nasrollah Moghadam Charkari
2021 J jnl
CoRR
Shayan Khosravipour, Erfan Taghvaei, Nasrollah Moghadam Charkari
2021 J jnl
CoRR
Fateme Dehrouye-Semnani, Nasrollah Moghadam Charkari, Seyed Mohammad Mehdi Mirbagheri
2020 J jnl
Neural Process. Lett.
Maryam Koohzadi, Nasrollah Moghadam Charkari
2020 J jnl
Appl. Intell.
Maryam Koohzadi, Nasrollah Moghadam Charkari, Foad Ghaderi
2019 J jnl
Int. J. Imaging Syst. Technol.
Osama Hourani, Nasrollah Moghadam Charkari, Saeed Jalili
2018 J jnl
Appl. Intell.
Hadi Shakibian, Nasrollah Moghadam Charkari, Saeed Jalili
2017 J jnl
Int. J. Comput. Vis. Robotics
Jalal A. Nasiri, Nasrollah Moghadam Charkari, Kourosh Mozafari
2017 J jnl
IET Comput. Vis.
Maryam Koohzadi, Nasrollah Moghadam Charkari
2016 J jnl
J. Comput. Sci.
Hadi Shakibian, Nasrollah Moghadam Charkari, Saeed Jalili
2016 J jnl
Future Gener. Comput. Syst.
Somayeh Kianpisheh, Nasrollah Moghadam Charkari, Mehdi Kargahi
2015 J jnl
J. Biomed. Informatics
Abdulaziz Yousef, Nasrollah Moghadam Charkari
2015 J jnl
Pattern Recognit.
Jalal A. Nasiri, Nasrollah Moghadam Charkari, Saeed Jalili
2014 J jnl
J. Netw. Comput. Appl.
Hadi Shakibian, Nasrollah Moghadam Charkari
2014 J jnl
Appl. Soft Comput.
Shahla Saedi, Nasrollah Moghadam Charkari
2014 J jnl
Algorithms Mol. Biol.
Soheila Montaseri, Fatemeh Zare-Mirakabad, Nasrollah Moghadam Charkari
2014 J jnl
Signal Image Video Process.
Hamid Shayegh Boroujeni, Nasrollah Moghadam Charkari
2012 conf
IST
Somayeh Kianpisheh, Nasrollah Moghadam Charkari
2012 conf
IST
Mehdi Seyrafi, Nasrollah Moghadam Charkari
2011 conf
KTW
Kourosh Mozafari, Nasrollah Moghadam Charkari, Hamidreza Shayegh Boroujeni, Mohammad Behrouzifar
2011 conf
KTW
Mohammad Behrouzifar, Hamidreza Shayegh Boroujeni, Nasrollah Moghadam Charkari, Kourosh Mozafari
2011 conf
KTW
Ali Jalilvand, Nasrollah Moghadam Charkari
2011 conf
KTW
Hamidreza Shayegh Boroujeni, Nasrollah Moghadam Charkari, Mohammad Behrouzifar, Poonia Taheri Makhsoos
2010 conf
ICDIM
R. Etemadi, Nasrollah Moghadam Charkari
2010 conf
MFI
Hadi Shakibian, Nasrollah Moghadam Charkari
1994 J jnl
IEEE Trans. Ind. Electron.
Hideo Mori, Nasrollah Moghadam Charkari, Takeshi Matsushita
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