Venkata Ramana Makkapati

16 papers C 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Venkata Ramana Makkapati, Tulasi Ram Vechalapu, Vinodhini Comandur, Seth Hutchinson
2023 J jnl
CoRR
Vinodhini Comandur, Tulasi Ram Vechalapu, Venkata Ramana Makkapati, Seth Hutchinson
2022 conf
CCTA
Venkata Ramana Makkapati, Vinodhini Comandur, Hemanth Sarabu, Panagiotis Tsiotras, Seth Hutchinson
2021
Venkata Ramana Makkapati
2020 J jnl
CoRR
Venkata Ramana Makkapati, Panagiotis Tsiotras
2020 C conf
ACC
Venkata Ramana Makkapati, Dipankar Maity, Mehregan Dor, Panagiotis Tsiotras
2020 conf
CDC
Venkata Ramana Makkapati, Tanmay Rajpurohit, Kazuhide Okamoto, Panagiotis Tsiotras
2020 J jnl
CoRR
Venkata Ramana Makkapati, Tanmay Rajpurohit, Kazuhide Okamoto, Panagiotis Tsiotras
2020 J jnl
IEEE Robotics Autom. Lett.
Venkata Ramana Makkapati, Hemanth Sarabu, Vinodhini Comandur, Panagiotis Tsiotras, Seth Hutchinson
2020 J jnl
CoRR
Hemanth Sarabu, Venkata Ramana Makkapati, Vinodhini Comandur, Panagiotis Tsiotras, Seth Hutchinson
2019 J jnl
CoRR
Venkata Ramana Makkapati, Dipankar Maity, Mehregan Dor, Panagiotis Tsiotras
2019 J jnl
Dyn. Games Appl.
Venkata Ramana Makkapati, Panagiotis Tsiotras
2018 conf
CDC
Venkata Ramana Makkapati, Mehregan Dor, Panagiotis Tsiotras
2017 J jnl
J. Optim. Theory Appl.
Ritwik Bera, Venkata Ramana Makkapati, Mangal Kothari
2017 J jnl
J. Intell. Robotic Syst.
Venkata Ramana Makkapati, Mangal Kothari
2015 conf
CDC
Venkata Ramana Makkapati, Mangal Kothari
redb/extractors/pe_extractors/pe_overlay.py
← Index redb/extractors/pe_extractors/pe_overlay.py python
from hashlib import md5, sha1, sha256
import inspect
from datetime import datetime, timezone
from typing import Any

import magic
from magika import Magika

from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PEOverlay


class PEOverlayExtractor(PEExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        pe=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            pe,
        )
        self.elastic_index = self.index_prefix + "-pe_overlay"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.PE_OVERLAY.value

    def _extract_pe_overlay(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        overlay = self.pe.get_overlay()
        if overlay:
            return PEOverlay(
                _id=sha256(overlay).hexdigest(),
                overlay_size=len(overlay),
                overlay_entropy=self.calculate_entropy(overlay),
                overlay_offset=self.pe.get_overlay_data_start_offset(),
                overlay_mimetype=magic.from_buffer(overlay, mime=True),
                overlay_type=magic.from_buffer(overlay),
                overlay_magika=Magika().identify_bytes(overlay).output.ct_label,
                overlay_sha256=sha256(overlay).hexdigest(),
                overlay_sha1=sha1(overlay).hexdigest(),
                overlay_md5=md5(overlay).hexdigest(),
            )
        return None

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            overlay = self._extract_pe_overlay()
            # self.export_to_elastic([overlay])  # Let the exporters handle this
            return overlay
        except Exception as e:
            self.log.error(f"Error extracting PE overlay: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            overlay = self.extract()
            if overlay is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            data.append([
                self.sha256,              # sha256
                self.md5,                 # md5
                self.sha1,                # sha1
                overlay.overlay_size,     # overlay_size
                overlay.overlay_entropy,  # overlay_entropy
                overlay.overlay_offset,   # overlay_offset
                overlay.overlay_mimetype, # overlay_mimetype
                overlay.overlay_type,     # overlay_type
                overlay.overlay_magika,   # overlay_magika
                overlay.overlay_sha256,   # overlay_sha256
                overlay.overlay_sha1,     # overlay_sha1
                overlay.overlay_md5,      # overlay_md5
                current_time             # analysis_date
            ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'overlay_size', 'overlay_entropy',
                'overlay_offset', 'overlay_mimetype', 'overlay_type', 'overlay_magika',
                'overlay_sha256', 'overlay_sha1', 'overlay_md5',
                'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'UInt64', 'Float64', 'UInt64',
                'LowCardinality(String)', 'LowCardinality(String)', 'LowCardinality(String)',
                'FixedString(64)', 'FixedString(40)', 'FixedString(32)',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_pe_overlays"