Karin Murthy

16 papers A* 1B 7Misc 2Journal 3Unranked 3
YearRankTypeTitle / Venue / Authors
2018 J jnl
IBM J. Res. Dev.
Kristof Kloeckner, Constantin Adam, Nikos Anerousis, Naga Ayachitula, Muhammed Fatih Bulut, Gargi Dasgupta, Yu Deng, Yixin Diao, Nicholas C. Fuller, Sandeep Gopisetty, Milton Hernandez, Jinho Hwang, Pietro Iannucci, Anup K. Kalia, Giovanni Lanfranchi, David Lanyi, Heiko Ludwig, A. Mahamuni, Ruchi Mahindru, Fan Jing Meng, Hamid R. Motahari Nezhad, Karin Murthy, Taiga Nakamura, Amit M. Paradkar, Dennis A. Perpetua, Birgit Pfitzmann, Daniela Rosu, Larisa Shwartz, Zhong Su, Maheswaran Surendra, Shu Tao, Hagen Völzer, Maja Vukovic, Dorothea Wiesmann, S. Wozniak, Gary Wright, Jin Xiao, Sai Zeng
2018 conf
SOSE
Fan Jing Meng, Jingmin Xu, Xiao Zhang, Lin Yang, Pengfei Chen, Yuan Wang, Xiaoxi Liu, Naga Ayachitula, Karin Murthy, Larisa Shwartz, George Galambos, Zhuo Su, Jun Zheng
2018 B conf
NOMS
Hongtan Sun, Karin Murthy, Raghav Batta, Maja Vukovic
2017 B conf
IM
Sinem Güven, Pawel Jasionowski, Karin Murthy, Krishna Tunga, George Stark
2016 B conf
CNSM
Zhiming Shen, Christopher C. Young, Sai Zeng, Karin Murthy, Kun Bai
2016 B conf
NOMS
Sinem Güven, Karin Murthy, Larisa Shwartz, Amit M. Paradkar
2016 B conf
CNSM
Sinem Güven, Karin Murthy
2015 B conf
IM
Joel W. Branch, Karin Murthy, Larisa Shwartz, Emi Olsson, Robert A. Larsen
2015 J jnl
Knowl. Inf. Syst.
Prasad M. Deshpande, Salil Joshi, Prateek Dewan, Karin Murthy, Mukesh K. Mohania, Sheshnarayan Agrawal
2012 conf
SRII Global Conference
Deepak Padmanabhan, Prasad M. Deshpande, Karin Murthy
2012 J jnl
Proc. VLDB Endow.
Karin Murthy, Prasad M. Deshpande, Atreyee Dey, Ramanujam Halasipuram, Mukesh K. Mohania, Deepak Padmanabhan, Jennifer Reed, Scott Schumacher
2012 B conf
WISE
Karin Murthy, Deepak Padmanabhan, Prasad M. Deshpande
2012 Misc ed.
COMOD
Chandrashekhar Sahasrabuddhe, Amr El Abbadi, Karin Murthy, Arnab Bhattacharya
2010 conf
ACL (2)
Karin Murthy, Tanveer A. Faruquie, L. Venkata Subramaniam, Hima Prasad K, Mukesh K. Mohania
2010 Misc conf
COMAD
Karin Murthy, Deepak Padmanabhan, Prasad M. Deshpande, Sreekanth L. Kakaraparthy, Vedula T., Surya Sandeep, Vijaya K. Shyamsundar, Sanjay K. Singh
2010 A* conf
KDD
Smruti R. Sarangi, Karin Murthy
redb/extractors/pe_extractors/pe_dotnet.py
← Index redb/extractors/pe_extractors/pe_dotnet.py python
import inspect
import pefile
from dotnetfile import DotNetPE

import base64
from hashlib import md5
from pprint import pprint

import magic
import pefile

from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PEDotNet
from datetime import datetime, timezone
import json
from typing import Any


class PEDotNetExtractor(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.pe_features = None
        self.elastic_index = self.index_prefix + "-pe_dotnet"
        self.dotnet, self.error = self._generate_dotnetfile_object()
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _decode_assembly_flags(self, flag_value):
        self.log.debug(inspect.currentframe().f_code.co_name)
        ASSEMBLY_FLAGS = {
            0x00000001: "COMIMAGE_FLAGS_ILONLY",
            0x00000002: "COMIMAGE_FLAGS_32BITREQUIRED",
            0x00000004: "COMIMAGE_FLAGS_IL_LIBRARY",
            0x00000008: "COMIMAGE_FLAGS_STRONGNAMESIGNED",
            0x00000010: "COMIMAGE_FLAGS_NATIVE_ENTRYPOINT",
            0x00010000: "COMIMAGE_FLAGS_TRACKDEBUGDATA",
            0x00020000: "COMIMAGE_FLAGS_32BITPREFERRED",
        }
        flags = []
        for bit, name in ASSEMBLY_FLAGS.items():
            if flag_value & bit:
                flags.append(name)
        return flags

    def _normalize_data(self, data):
        self.log.debug(inspect.currentframe().f_code.co_name)
        if isinstance(data, str):
            return {"value": data}
        return data

    def _compute_md5(self, data):
        self.log.debug(inspect.currentframe().f_code.co_name)
        if isinstance(data, str):
            # If it's a string, encode it to first
            return md5(data.encode("raw_unicode_escape")).hexdigest()
        elif not isinstance(data, bytes):
            # If it's neither string nor bytes, convert it to string and then to bytes
            return md5(str(data).encode("raw_unicode_escape")).hexdigest()
        else:
            return md5(data).hexdigest()

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

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        metadata = {}

        if self.error:
            metadata["Corrupted"] = self.error.args[0]
            dotnet = PEDotNet(metadata)
            self.dotnet = dotnet  # Store for later use in prepare_export_data
            return dotnet  # Return the extracted data instead of exporting directly

        metadata["info"] = {}
        try:
            available_tables = self.dotnet.existent_metadata_tables()
        except Exception as e:
            self.log.error(f"Error getting metadata tables for {self.hash.sha256}: {e}")
            available_tables = []
            metadata["info"]["PotentiallyCorrupted"] = True

        # GUID extraction
        try:
            input_string = self.dotnet.guid_stream_guids[0].string_representation
            
            formatted_uuid = (
                f"{input_string[6:8]}{input_string[4:6]}{input_string[2:4]}{input_string[0:2]}"
                f"-{input_string[10:12]}{input_string[8:10]}"
                f"-{input_string[14:16]}{input_string[12:14]}"
                f"-{input_string[16:20]}"
                f"-{input_string[20:]}"
            )
            metadata["info"]["ModuleVersionID"] = formatted_uuid
        except Exception as e:
            self.log.error(f"Error extracting GUID for {self.hash.sha256}: {e}")

        # CLR Version
        try:
            metadata["info"]["CLRversion"] = self.dotnet.get_runtime_target_version()
        except Exception as e:
            self.log.error(f"Error getting CLR version for {self.hash.sha256}: {e}")

        # Module information
        try:
            if self.dotnet.metadata_table_exists("Module"):
                metadata["info"]["AssemblyModuleName"] = self.dotnet.Module.get_module_name()
        except Exception as e:
            self.log.error(f"Error getting module info for {self.hash.sha256}: {e}")

        # Basic properties
        try:
            metadata["info"].update({
                "IsNativeNgenImage": self.dotnet.is_native_image(),
                "IsMixedAssembly": self.dotnet.is_mixed_assembly(),
                "IsWindowsFormsApp": self.dotnet.is_windows_forms_app(),
                "EntryPointToken": self.dotnet.clr_header.EntryPointToken.value,
                "HasNativeEntryPoint": self.dotnet.has_native_entry_point(),
            })
        except Exception as e:
            self.log.error(f"Error getting basic properties for {self.hash.sha256}: {e}")

        # Assembly flags
        try:
            metadata["info"]["AssemblyFlags"] = self._decode_assembly_flags(
                self.dotnet.clr_header.Flags.value
            )
        except Exception as e:
            self.log.error(f"Error getting assembly flags for {self.hash.sha256}: {e}")

        # More Metadata/Info CLR Header
        try:
            metadata["info"]["NumOfStreams"] = self.dotnet.get_number_of_streams()
            # [TODO] The following two on VT are "RVA entry point"
            #  and "Resources va" respectively. To verify.
            metadata["info"][
                "ResourcesDirectoryAddress"
            ] = self.dotnet.clr_header.ResourcesDirectoryAddress.value
            metadata["info"][
                "ResourcesDirectorySize"
            ] = self.dotnet.clr_header.ResourcesDirectorySize.value
            metadata["info"][
                "StrongNameSignatureAddress"
            ] = self.dotnet.clr_header.StrongNameSignatureAddress.value
            metadata["info"][
                "StrongNameSignatureSize"
            ] = self.dotnet.clr_header.StrongNameSignatureSize.value
            metadata["info"][
                "CodeManagerTableAddress"
            ] = self.dotnet.clr_header.CodeManagerTableAddress.value
            metadata["info"][
                "CodeManagerTableSize"
            ] = self.dotnet.clr_header.CodeManagerTableSize.value
            metadata["info"][
                "VTableFixupsAddress"
            ] = self.dotnet.clr_header.VTableFixupsAddress.value
            metadata["info"][
                "VTableFixupsSize"
            ] = self.dotnet.clr_header.VTableFixupsSize.value
            metadata["info"][
                "ExportAddressTableJumpsAddress"
            ] = self.dotnet.clr_header.ExportAddressTableJumpsAddress.value
            metadata["info"][
                "ExportAddressTableJumpsSize"
            ] = self.dotnet.clr_header.ExportAddressTableJumpsSize.value
            metadata["info"][
                "ManagedNativeHeaderAddress"
            ] = self.dotnet.clr_header.ManagedNativeHeaderAddress.value
            metadata["info"][
                "ManagedNativeHeaderSize"
            ] = self.dotnet.clr_header.ManagedNativeHeaderSize.value
        except Exception as e:
            self.log.error(f"Error getting more metadata/info clr header for {self.hash.sha256}: {e}")

        # Streams section
        try:
            metadata["Streams"] = {}
            stream_names = self.dotnet.get_stream_names()
            for name in stream_names:
                indx = stream_names.index(name)
                stream_header = self.dotnet.dotnet_stream_headers[indx]
                stream_address = self.dotnet.dotnet_streams[indx].address
                metadata["Streams"][name] = {}
                metadata["Streams"][name]["raw_name"] = base64.b64encode(
                    stream_header.Name.value
                ).decode()
                # metadata["Streams"][name]["raw_name"] = name
                metadata["Streams"][name]["size"] = stream_header.Size.value
                # Retrieve the stream data directly using the given address and size
                stream_data = self.pe.get_data(stream_address, stream_header.Size.value)
                metadata["Streams"][name]["entropy"] = (
                    "%.2f" % pefile.SectionStructure.entropy_H(self.pe, stream_data)
                )
                metadata["Streams"][name]["md5"] = md5(stream_data).hexdigest()
        except Exception as e:
            self.log.error(f"Error getting streams for {self.hash.sha256}: {e}")

        # ManifestResource
        try:
            metadata["ManifestResource"] = ()
            if "ManifestResource" in available_tables:
                metadata["info"]["HasManifestResource"] = True
                metadata["ManifestResource"] = (
                    self.dotnet.ManifestResource.get_resource_names()
                )
        except Exception as e:
            self.log.error(f"Error getting manifest resource for {self.hash.sha256}: {e}")

        # ExternalAssemblyRef
        try:
            metadata["ExternalAssemblyRef"] = {}
            if "AssemblyRef" in available_tables:
                metadata["ExternalAssemblyRef"][
                    "names"
                ] = self.dotnet.AssemblyRef.get_assemblyref_names()
                metadata["ExternalAssemblyRef"][
                    "cultures"
                ] = self.dotnet.AssemblyRef.get_assemblyref_cultures()
        except Exception as e:
            self.log.error(f"Error getting external assembly ref for {self.hash.sha256}: {e}")

        # AssemblyData
        try:
            metadata["AssemblyData"] = {}
            if "Assembly" in available_tables:
                metadata["AssemblyData"][
                    "name"
                ] = self.dotnet.Assembly.get_assembly_name()
                # It's officially a one-row table, but there are ITW files with more than one row.
                # It stores information about the current assembly. It is documented in ECMA-335.
                assembly_table = self.dotnet.metadata_tables_lookup[
                    "Assembly"
                ].table_rows[0]
                metadata["AssemblyData"][
                    "MajorVersion"
                ] = assembly_table.MajorVersion.value
                metadata["AssemblyData"][
                    "MinorVersion"
                ] = assembly_table.MinorVersion.value
                metadata["AssemblyData"]["hashalgid"] = assembly_table.HashAlgId.value
                metadata["AssemblyData"][
                    "BuildNumber"
                ] = assembly_table.BuildNumber.value
                metadata["AssemblyData"][
                    "RevisionNumber"
                ] = assembly_table.RevisionNumber.value
                metadata["AssemblyData"][
                    "culture"
                ] = self.dotnet.Assembly.get_assembly_culture()
        except Exception as e:
            self.log.error(f"Error getting assembly data for {self.hash.sha256}: {e}")

        # TypeDef handling
        try:
            metadata["TypeDef"] = {}
            if "TypeDef" in available_tables:
                metadata["info"]["HasTypeDef"] = True
                # Get basic type definitions
                try:
                    # Get all types (ANY visibility)
                    type_defs = self.dotnet.TypeDef.get_type_names()
                    metadata["TypeDef"]["names"] = type_defs if type_defs else []
                    
                    # Get detailed type information with methods
                    types_with_methods = self.dotnet.TypeDef.get_type_names_with_methods()
                    if types_with_methods:
                        metadata["TypeDef"]["detailed"] = []
                        for type_info in types_with_methods:
                            type_data = {
                                "type": type_info.Type,
                                "namespace": type_info.Namespace,
                                "flags": type_info.Flags,
                                "methods": []
                            }
                            for method in type_info.Methods:
                                method_data = {
                                    "name": method.Name,
                                    "flags": method.Flags
                                }
                                if method.Signature:
                                    method_data["signature"] = {
                                        "parameters": method.Signature.get("parameter", []),
                                        "return_type": method.Signature.get("return", ""),
                                        "has_this": method.Signature.get("hasthis", False)
                                    }
                                type_data["methods"].append(method_data)
                            metadata["TypeDef"]["detailed"].append(type_data)
                except AttributeError as e:
                    self.log.warning(f"TypeDef table exists but attributes missing for {self.hash.sha256}: {e}")
                    # metadata["info"]["TypeDefParsingError"] = f"Missing attributes: {str(e)}"
                except Exception as e:
                    self.log.error(f"Error parsing TypeDef table for {self.hash.sha256}: {e}")
                    # metadata["info"]["TypeDefParsingError"] = str(e)
        except Exception as e:
            self.log.error(f"Error handling TypeDef section for {self.hash.sha256}: {e}")
            metadata["TypeDef"] = {"names": [], "detailed": []}
            # metadata["info"]["TypeDefParsingError"] = str(e)

        # ExternalUnmanagedModules
        try:
            metadata["ExternalUnmanagedModules"] = ()
            if "ModuleRef" in available_tables:
                metadata["info"]["HasModuleRef"] = True
                metadata["ExternalUnmanagedModules"] = (
                    self.dotnet.ModuleRef.get_unmanaged_module_names(
                        self.dotnet.Type.UnmanagedModules.RAW
                    )
                )
        except Exception as e:
            self.log.error(f"Error getting external unmanaged modules for {self.hash.sha256}: {e}")

        # ExternalUnmanagedMethods
        try:
            metadata["ExternalUnmanagedMethods"] = ()
            if "ImplMap" in available_tables:
                metadata["info"]["HasImplMap"] = True
                metadata["ExternalUnmanagedMethods"] = (
                    self.dotnet.ImplMap.get_unmanaged_functions()
                )
        except Exception as e:
            self.log.error(f"Error getting external unmanaged methods for {self.hash.sha256}: {e}")

        # Event
        try:
            metadata["Event"] = ()
            if "Event" in available_tables:
                metadata["info"]["HasEvent"] = True
                metadata["Event"] = self.dotnet.Event.get_event_names()
        except Exception as e:
            self.log.error(f"Error getting event for {self.hash.sha256}: {e}")

        # Resources
        try:
            metadata["Resources"] = []
            if self.dotnet.has_resources():
                tmp_resources_list = []
                resource_data = self.dotnet.get_resources()
                for data in resource_data:
                    tmp_dict = {}
                    for resource_item in data.items():
                        if resource_item[0] == "SubResources":
                            if resource_item[1]:
                                tmp_dict["SubResources"] = {}
                                for sub_resource in resource_item[1]:
                                    for sub_resource_item in sub_resource.items():
                                        if sub_resource_item[0] == "Data":
                                            # Check if data is a sequence type that supports len()
                                            if hasattr(sub_resource_item[1], '__len__') and len(sub_resource_item[1]) > 100:
                                                tmp_dict["SubResources"]["Data"] = {}
                                                try:
                                                    # tmp_dict["SubResources"]["Data"][
                                                    #     "md5"
                                                    # ] = md5(
                                                    #     sub_resource_item[1].encode()
                                                    # ).hexdigest()
                                                    tmp_dict["SubResources"]["Data"][
                                                        "md5"
                                                    ] = self._compute_md5(
                                                        sub_resource_item[1]
                                                    )
                                                except Exception as e:
                                                    self.log.error(
                                                        f"Error in dotnet resources"
                                                        f" extraction {self.hash.sha256}: {e}"
                                                    )
                                                guess = magic.from_buffer(
                                                    sub_resource_item[1], mime=True
                                                )
                                                tmp_dict["SubResources"]["Data"][
                                                    "MimeType"
                                                ] = (guess if guess else None)
                                            else:
                                                normalized_data = self._normalize_data(
                                                    sub_resource_item[1].decode()
                                                    if isinstance(
                                                        sub_resource_item[1], bytes
                                                    )
                                                    else sub_resource_item[1]
                                                )
                                                tmp_dict["SubResources"][
                                                    sub_resource_item[0]
                                                ] = normalized_data
                                        else:
                                            tmp_dict["SubResources"][
                                                sub_resource_item[0]
                                            ] = (
                                                sub_resource_item[1].decode()
                                                if isinstance(
                                                    sub_resource_item[1], bytes
                                                )
                                                else sub_resource_item[1]
                                            )
                        elif resource_item[0] == "Data":
                            # Check if data is a sequence type that supports len()
                            if hasattr(resource_item[1], '__len__') and len(resource_item[1]) > 100:
                                tmp_dict["Data"] = {}
                                tmp_dict["Data"]["md5"] = self._compute_md5(
                                    resource_item[1]
                                )
                                guess = magic.from_buffer(resource_item[1], mime=True)
                                tmp_dict["Data"]["MimeType"] = guess if guess else None
                            else:
                                normalized_data = self._normalize_data(
                                    resource_item[1].decode()
                                    if isinstance(resource_item[1], bytes)
                                    else resource_item[1]
                                )
                                tmp_dict["Data"] = normalized_data
                        else:
                            tmp_dict[resource_item[0]] = (
                                resource_item[1].decode()
                                if isinstance(resource_item[1], bytes)
                                else resource_item[1]
                            )
                    tmp_resources_list.append(tmp_dict)
                metadata["Resources"] = tmp_resources_list
        except Exception as e:
            self.log.error(f"Error getting resources for {self.hash.sha256}: {e}")
            metadata["Resources"] = []  # Ensure we always have a valid list even on error

        dotnet = PEDotNet(metadata)
        self.dotnet = dotnet  # Store for later use in prepare_export_data
        return dotnet  # Return the extracted data instead of exporting directly


    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.dotnet
        elif exporter_type == "ClickHouseExporter":
            # Convert metadata to JSON string
            metadata_json = json.dumps(self.dotnet.dotnet)
            
            data = [[
                self.sha256,
                self.md5,
                self.sha1,
                metadata_json,
                datetime.now(timezone.utc)
            ]]
            
            column_names = [
                'sha256', 'md5', 'sha1', 'dotnet', 'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'String', 'String', 'String', 'JSON', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

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