Ramesh B. Kudenatti

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Math. Comput. Simul.
Ramesh B. Kudenatti, M. C. Bharathi, Noor-E.-Misbah
2023 J jnl
Math. Comput. Simul.
Ramesh B. Kudenatti, Noor-E.-Misbah, M. C. Bharathi
2023 J jnl
Comput. Math. Appl.
G. Kalpana, Ramesh B. Kudenatti
2023 J jnl
Eng. Comput.
Shashi Prabha Gogate S, Noor-E.-Misbah, M. C. Bharathi, Ramesh B. Kudenatti
2023 J jnl
Appl. Math. Comput.
Ramesh B. Kudenatti, Noor-E.-Misbah
2022 J jnl
Eng. Comput.
Ramesh B. Kudenatti, L. Sandhya, N. M. Bujurke
2022 J jnl
Math. Comput. Simul.
G. Kalpana, K. R. Madhura, Ramesh B. Kudenatti
2022 J jnl
Eng. Comput.
Ramesh B. Kudenatti, Noor-E.-Misbah, M. C. Bharathi
2021 J jnl
Eng. Comput.
Ramesh B. Kudenatti, Noor-E.-Misbah, M. C. Bharathi
2020 J jnl
Math. Comput. Simul.
Harinakshi Karkera, Nagaraj N. Katagi, Ramesh B. Kudenatti
2020 J jnl
Eng. Comput.
Ramesh B. Kudenatti, B. Jyothi
2013 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Ramesh B. Kudenatti, Shreenivas R. Kirsur, L. N. Achala, N. M. Bujurke
2012 J jnl
Appl. Math. Comput.
Ramesh B. Kudenatti, D. P. Basti, N. M. Bujurke
2011 J jnl
Am. J. Comput. Math.
Vishwanath B. Awati, N. M. Bujurke, Ramesh B. Kudenatti
2011 J jnl
Appl. Math. Comput.
Ramesh B. Kudenatti, Vishwanath B. Awati, N. M. Bujurke
2009 J jnl
Appl. Math. Comput.
Ramesh B. Kudenatti, Vishwanath B. Awati
2007 J jnl
Appl. Math. Comput.
N. M. Bujurke, C. S. Salimath, Ramesh B. Kudenatti, S. C. Shiralashetti
2006 J jnl
Appl. Math. Comput.
N. M. Bujurke, Ramesh B. Kudenatti
2006 J jnl
Appl. Math. Comput.
N. M. Bujurke, Ramesh B. Kudenatti
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