Nelson Zagalo

54 papers C 10Misc 2Journal 11Unranked 28
YearRankTypeTitle / Venue / Authors
2025 conf
HCI (64)
Liliana Vale Costa, Leonardo Catalano, Nelson Zagalo, João Abrantes, Ana Patricia Oliveira
2025 conf
HCI (65)
Sreeram Kongeseri, Liliana Vale Costa, Samuel S. Silva, Bernardo Marques, Nelson Zagalo
2025 conf
XR (3)
Pedro Reisinho, Rui Raposo, Óscar Ribeiro, Nelson Zagalo, Juliana Silva
2025 J jnl
CoRR
Claudia Vale Oliveira, Nelson Zagalo, Filipe Silva, Anabela Brandao, Syeda Faryal Hussain Khurrum, Joaquim Santos
2025 conf
ICGI
Pedro Reisinho, Cátia Silva, Rui Raposo, Mário Vairinhos, Nelson Zagalo
2024 conf
HCI (24)
Pedro Reisinho, Cátia Silva, Maria Ferreira, Rui Raposo, Mário Vairinhos, Nelson Zagalo
2024 conf
WorldCIST (3)
Francisca Toledo Rocha Lourenço, Lorena Sousa, Oksana Tymoshchuk, Fábio Ferreira, Mónica Silva, Lídia Oliveira, Nelson Zagalo
2024 conf
ICEIS (1)
Oksana Tymoshchuk, Mónica Silva, Nelson Zagalo, Lídia Oliveira
2024 conf
GEM
Dalila Martins, Nelson Zagalo, Ana Patricia Oliveira
2024 conf
ICMHI
Pedro Reisinho, Rui Raposo, Nelson Zagalo, Óscar Ribeiro
2024 conf
HCI (54)
Sofia da Costa, Ana Patricia Oliveira, Nelson Zagalo, Elisabete Pinto
2024 conf
ICEIS (1)
Mónica Silva, Lersi Durán, Sofia Bermudez, Fábio Ferreira, Oksana Tymoshchuk, Lídia Oliveira, Nelson Zagalo
2023 conf
VR Workshops
Bernardo Marques, Liliana Vale Costa, Pedro Reisinho, Cátia Silva, Samuel S. Silva, Nelson Zagalo
2023 conf
ARTECH
Alice Coanhas, Cátia Silva, Nelson Zagalo
2023 C conf
DiGRA
Dalila Martins, Nelson Zagalo, Ana Patricia Oliveira
2023 C conf
FDG
Dalila Martins, Ana Patricia Oliveira, Nelson Zagalo
2023 J jnl
Comput. Educ. X Real.
Cátia Silva, Nelson Zagalo, Mário Vairinhos
2022 conf
IMET
Pedro Reisinho, Rui Raposo, Nelson Zagalo
2022 J jnl
Frontiers Comput. Sci.
Pilar Lacasa, Nelson Zagalo, Martin Emmer
2022 conf
TECH-EDU
Ana Colaço, Ana Patricia Oliveira, Nelson Zagalo
2022 J jnl
Int. J. Serious Games
Micael Sousa, António Pais Antunes, Nuno Pinto, Nelson Zagalo
2021 C conf
ICIDS
Nelson Zagalo, Ana Patricia Oliveira, Pedro Cardoso
2021 conf
JCSG
Micael Sousa, Ana Patricia Oliveira, Pedro Cardoso, Nelson Zagalo, Mário Vairinhos
2021 J jnl
Inf.
Pedro Pinto Neves, Nelson Zagalo
2021 C conf
CoG
Micael Sousa, Nelson Zagalo, Ana Patricia Oliveira
2021 conf
SEGAH
Pedro Reisinho, Cátia Silva, Mário Vairinhos, Ana Patricia Oliveira, Nelson Zagalo
2021 J jnl
Inf.
Pedro Pinto Neves, Nelson Zagalo
2020 J jnl
Inf.
Lizie Sancho Nascimento, Nelson Zagalo, Laura Bezerra Martins
2020 conf
TECH-EDU
Pedro Reisinho, Cátia Silva, Nelson Zagalo, Mário Vairinhos, Ana Patricia Oliveira
2020 C conf
ArtsIT
Raquel Echeandía Sánchez, Nelson Zagalo, Sara Cortés Gómez
2020 book
Nelson Zagalo
2020 conf
SeGAH
Ana Patricia Oliveira, Micael Sousa, Mário Vairinhos, Nelson Zagalo
2017 J jnl
Int. J. Creative Interfaces Comput. Graph.
Ana Cristina Marques, Rui Manuel Agostinho Gaspar, Nelson Zagalo
2015 book
Nelson Zagalo, Pedro Branco
2015 ch.
Creativity in the Digital Age
Nelson Zagalo, Pedro Branco
2014 C conf
Advances in Computer Entertainment (Workshops)
Cristina Sylla, Ana Carina Figueiredo, Ana Lucia Pinto, Pedro Branco, Nelson Zagalo
2014 C conf
Advances in Computer Entertainment
Ana Carina Figueiredo, Cristina Sylla, Pedro Branco, Nelson Zagalo
2013 conf
CHI Extended Abstracts
Ana Carina Figueiredo, Ana Lucia Pinto, Nelson Zagalo, Pedro Branco
2013 Misc conf
IDC
Ana Carina Figueiredo, Ana Lucia Pinto, Pedro Branco, Nelson Zagalo, Maria Eduarda Coquet
2013 Misc conf
IDC
Ana Lucia Pinto, Nelson Zagalo, Cristina Sylla, Natalie Freed, Ana Carina Figueiredo, Jie Qi, Pedro Branco, Maria Eduarda Coquet
2012 conf
CHI Extended Abstracts
João Pedro Ferreira, Marta Noronha e Sousa, Nuno Branco, Manuel João Ferreira, Nuno Otero, Nelson Zagalo, Pedro Branco
2011 conf
SeGAH
Anabela Pinho, Hugo Paredes, Nelson Zagalo
2011 conf
CHI Extended Abstracts
Nuno Branco, João Pedro Ferreira, Marta Noronha e Sousa, Pedro Branco, Nuno Otero, Nelson Zagalo, Manuel João Ferreira
2011 J jnl
Entertain. Comput.
Adérito Fernandes Marcos, Nelson Zagalo
2010 J jnl
J. Theor. Appl. Electron. Commer. Res.
Ana Boa-Ventura, Nelson Zagalo
2010 conf
SBGames
Rogério E. da Silva, Ido Aharon Iurgel, Manuel Filipe dos Santos, Pedro Branco, Nelson Zagalo
2010 C conf
ICIDS
Nelson Zagalo, Sandy Louchart, María T. Soto-Sanfiel
2009 C ed.
ICIDS
Ido Iurgel, Nelson Zagalo, Paolo Petta
2008 J jnl
Vis. Comput.
Nelson Zagalo, Ana Torres
2006 conf
TIDSE
Nelson Zagalo, Stefan Göbel, Ana Torres, Rainer Malkewitz, Vasco A. Branco
2006 C conf
ICEC
Nelson Zagalo, Ana Torres, Vasco A. Branco
2005 conf
International Conference on Virtual Storytelling
Nelson Zagalo, Ana Torres, Vasco A. Branco
2004 conf
SRMC
Nelson Zagalo, Anthony Barker, Vasco A. Branco
2003 conf
International Conference on Virtual Storytelling
Nelson Zagalo, Vasco A. Branco, Anthony Barker
redb/extractors/decompiler/DecompileAPK.py
← Index redb/extractors/decompiler/DecompileAPK.py python
"""APK Code Analysis Extractor.

Decompiles and disassembles APK DEX bytecode at the method level,
producing per-method content and reference records analogous to
the Binary Ninja code_binja_* tables.

Uses androguard + JADX + apktool to replicate Binary Ninja analysis
depth for Android applications.
"""

import gc
import hashlib
import inspect
import logging
import os
import threading
import time
from datetime import datetime, timezone
from typing import Any, Dict, Optional

from redb.extractors.decompiler.apk.analyzer import APKCodeAnalyzer
from redb.extractors.enum import Tag
from redb.extractors.extractor import Extractor


class DecompileAPK(Extractor):
    """APK code analysis extractor — produces multi-table ClickHouse export.

    Follows the same pattern as DecompileBinja for consistency.
    """

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        known_benign=False,
        known_malicious=False,
        filetype=None,
        decompile_modules=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            known_benign=known_benign,
            known_malicious=known_malicious,
        )
        self.log.debug(inspect.currentframe().f_code.co_name)
        self.analysis_results = None
        self.analyzer = None
        self.filetype = filetype or "apk"
        self.decompile_modules = decompile_modules or {"all"}

        try:
            self.APK_DECOMPILE_TIMEOUT = int(
                os.getenv("APK_DECOMPILE_TIMEOUT", "600")
            )
        except ValueError:
            self.log.warning(
                "Invalid APK_DECOMPILE_TIMEOUT value, using default of 600 seconds"
            )
            self.APK_DECOMPILE_TIMEOUT = 600

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        self.cleanup_run()

    def calculate_md5(self, input_str):
        """Calculate MD5 hash of a string."""
        return hashlib.md5(input_str.encode("utf-8")).hexdigest()

    def cleanup_run(self):
        """Clean up after analysis."""
        try:
            if self.analyzer:
                self.analyzer.cleanup()
                self.analyzer = None
            gc.collect()
        except Exception as e:
            self.log.error(f"Error in cleanup: {e}")

    def analyze_apk(self) -> Optional[Dict[str, Any]]:
        """Run APK code analysis and return results."""
        self.log.debug("Starting APK code analysis")
        try:
            self.analyzer = APKCodeAnalyzer(
                filepath=self.filepath,
                timeout=self.APK_DECOMPILE_TIMEOUT,
                log=self.log,
                decompile_modules=self.decompile_modules,
            )
            results = self.analyzer.extract()
            return results
        except Exception as e:
            self.log.error(f"Error in APK code analysis: {e}")
            import traceback
            self.log.error(f"Traceback: {traceback.format_exc()}")
            return None
        finally:
            self.cleanup_run()

    def extract(self):
        """Extract and process all analysis results.

        Uses daemon thread with timeout, same pattern as DecompileBinja.
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        extraction_completed = False
        extraction_result = False
        extraction_error = None

        def do_extraction():
            nonlocal extraction_completed, extraction_result, extraction_error
            try:
                results = self.analyze_apk()
                if not results:
                    extraction_result = False
                else:
                    self.analysis_results = results
                    self.analysis_results["sha256"] = self.sha256
                    self.analysis_results["sha1"] = self.sha1
                    self.analysis_results["md5"] = self.md5
                    extraction_result = True
            except Exception as e:
                extraction_error = e
                extraction_result = False
            finally:
                extraction_completed = True

        extraction_thread = threading.Thread(target=do_extraction)
        extraction_thread.daemon = True
        extraction_thread.start()

        start_time = time.time()
        while (
            not extraction_completed
            and (time.time() - start_time) < self.APK_DECOMPILE_TIMEOUT
        ):
            time.sleep(1)

        if not extraction_completed:
            self.log.error(
                f"APK extraction timed out after {self.APK_DECOMPILE_TIMEOUT} seconds"
            )
            self.cleanup_run()
            return None

        if extraction_error:
            self.log.error(f"Error in APK extraction: {extraction_error}")
            return None

        return self.analysis_results if extraction_result else None

    def prepare_export_data(self, exporter_type: str) -> Any:
        """Prepare data for database export."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        if not self.analysis_results:
            return None

        if exporter_type == "ClickHouseExporter":
            now = datetime.now(timezone.utc)
            export = {"multi_table": True}

            # Table 1: Decompiled method content
            if self.analysis_results.get("decompiled_content"):
                export["decompiled_content"] = {
                    "table": "code_apk_decompiled_methods_content",
                    "data": [
                        [
                            f["decompiled_method_hash"],
                            f["decompiled_method"],
                            f.get("decompiled_method_type", "UNKNOWN"),
                            1 if f.get("decompiled_has_string_encryption") else 0,
                            1 if f.get("decompiled_has_reflection_calls") else 0,
                            1 if f.get("decompiled_excessive_goto_count") else 0,
                            now,
                        ]
                        for f in self.analysis_results["decompiled_content"]
                    ],
                    "column_names": [
                        "decompiled_method_hash",
                        "decompiled_method",
                        "decompiled_method_type",
                        "decompiled_has_string_encryption",
                        "decompiled_has_reflection_calls",
                        "decompiled_excessive_goto_count",
                        "analysis_date",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "String",
                        "Enum8('USER'=1, 'LIBRARY'=2, 'UNKNOWN'=5)",
                        "UInt8",
                        "UInt8",
                        "UInt8",
                        "DateTime64(3, 'UTC')",
                    ],
                }

            # Table 2: Decompiled method references
            if self.analysis_results.get("decompiled_refs"):
                export["decompiled_refs"] = {
                    "table": "code_apk_decompiled_methods_references",
                    "data": [
                        [
                            self.analysis_results["sha256"],
                            f["decompiled_method_hash"],
                            f.get("smali_method_hash"),
                            f.get("decompiled_class_name", ""),
                            f.get("decompiled_method_name", ""),
                            f.get("decompiled_method_signature", ""),
                            f.get("decompiled_method_prototype", ""),
                            f.get("functions_caller", []),
                            f.get("functions_call", []),
                            now,
                        ]
                        for f in self.analysis_results["decompiled_refs"]
                    ],
                    "column_names": [
                        "sha256",
                        "decompiled_method_hash",
                        "smali_method_hash",
                        "decompiled_class_name",
                        "decompiled_method_name",
                        "decompiled_method_signature",
                        "decompiled_method_prototype",
                        "functions_caller",
                        "functions_call",
                        "analysis_date",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "FixedString(64)",
                        "Nullable(FixedString(64))",
                        "LowCardinality(String)",
                        "LowCardinality(String)",
                        "String",
                        "String",
                        "Array(String)",
                        "Array(String)",
                        "DateTime64(3, 'UTC')",
                    ],
                }

            # Table 3: Smali method content
            if self.analysis_results.get("smali_content"):
                export["smali_content"] = {
                    "table": "code_apk_smali_methods_content",
                    "data": [
                        [
                            f["smali_method_hash"],
                            f["smali_method"],
                            f.get("smali_method_type", "UNKNOWN"),
                            f.get("smali_instructions_count", 0),
                            f.get("smali_register_count", 0),
                            1 if f.get("smali_has_string_encryption") else 0,
                            1 if f.get("smali_has_reflection_calls") else 0,
                            1 if f.get("smali_excessive_goto_count") else 0,
                            f.get("smali_flattened_score", 0.0),
                            f.get("smali_mba_score", 0.0),
                            now,
                        ]
                        for f in self.analysis_results["smali_content"]
                    ],
                    "column_names": [
                        "smali_method_hash",
                        "smali_method",
                        "smali_method_type",
                        "smali_instructions_count",
                        "smali_register_count",
                        "smali_has_string_encryption",
                        "smali_has_reflection_calls",
                        "smali_excessive_goto_count",
                        "smali_flattened_score",
                        "smali_mba_score",
                        "analysis_date",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "String",
                        "Enum8('USER'=1, 'LIBRARY'=2, 'UNKNOWN'=5)",
                        "UInt32",
                        "UInt16",
                        "UInt8",
                        "UInt8",
                        "UInt8",
                        "Float64",
                        "Float64",
                        "DateTime64(3, 'UTC')",
                    ],
                }

            # Table 4: Smali method references
            if self.analysis_results.get("smali_refs"):
                export["smali_refs"] = {
                    "table": "code_apk_smali_methods_references",
                    "data": [
                        [
                            self.analysis_results["sha256"],
                            f["smali_method_hash"],
                            f.get("decompiled_method_hash"),
                            f.get("smali_class_name", ""),
                            f.get("smali_method_name", ""),
                            f.get("smali_method_signature", ""),
                            now,
                        ]
                        for f in self.analysis_results["smali_refs"]
                    ],
                    "column_names": [
                        "sha256",
                        "smali_method_hash",
                        "decompiled_method_hash",
                        "smali_class_name",
                        "smali_method_name",
                        "smali_method_signature",
                        "analysis_date",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "FixedString(64)",
                        "Nullable(FixedString(64))",
                        "LowCardinality(String)",
                        "LowCardinality(String)",
                        "String",
                        "DateTime64(3, 'UTC')",
                    ],
                }

            # Table 5: Method similarity metrics (content-based fuzzy matching)
            if self.analysis_results.get("similarity_metrics"):
                export["method_similarity_metrics"] = {
                    "table": "code_apk_method_similarity_metrics",
                    "data": [
                        [
                            f["smali_method_hash"],
                            f.get("ssdeep_smali"),
                            f.get("tlsh_smali"),
                            f.get("ssdeep_smali_normalized"),
                            f.get("tlsh_smali_normalized"),
                            f.get("minhash", []),
                            now,
                        ]
                        for f in self.analysis_results["similarity_metrics"]
                    ],
                    "column_names": [
                        "smali_method_hash",
                        "ssdeep_smali",
                        "tlsh_smali",
                        "ssdeep_smali_normalized",
                        "tlsh_smali_normalized",
                        "minhash",
                        "analysis_date",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "Nullable(String)",
                        "Nullable(FixedString(72))",
                        "Nullable(String)",
                        "Nullable(FixedString(72))",
                        "Array(UInt8)",
                        "DateTime64(3, 'UTC')",
                    ],
                }

            # Table 5b: CFG method features (structural/topological)
            if self.analysis_results.get("cfg"):
                export["cfg_methods"] = {
                    "table": "code_apk_cfg_methods",
                    "data": [
                        [
                            cfg["smali_method_hash"],
                            cfg["cfg_topology_hash"],
                            cfg["block_count"],
                            cfg["edge_count"],
                            cfg.get("cfg_instructions_count", 0),
                            cfg.get("call_count", 0),
                            cfg["cyclomatic_complexity"],
                            cfg.get("loop_count", 0),
                            cfg.get("max_depth", 0),
                            cfg.get("max_fan_out", 0),
                            cfg.get("md_index_topdown", 0),
                            cfg.get("md_index_bottomup", 0),
                            cfg.get("prime_product_smali", 0),
                            cfg.get("cfg_feature_tlsh"),
                            cfg.get("wl_minhash", []),
                            cfg.get("bb_features", []),
                            cfg.get("cfg_adjacency", []),
                            now,
                        ]
                        for cfg in self.analysis_results["cfg"]
                        if cfg is not None
                    ],
                    "column_names": [
                        "smali_method_hash",
                        "cfg_topology_hash",
                        "block_count",
                        "edge_count",
                        "cfg_instructions_count",
                        "call_count",
                        "cyclomatic_complexity",
                        "loop_count",
                        "max_depth",
                        "max_fan_out",
                        "md_index_topdown",
                        "md_index_bottomup",
                        "prime_product_smali",
                        "cfg_feature_tlsh",
                        "wl_minhash",
                        "bb_features",
                        "cfg_adjacency",
                        "analysis_date",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "FixedString(16)",
                        "UInt16",
                        "UInt16",
                        "UInt32",
                        "UInt16",
                        "UInt16",
                        "UInt16",
                        "UInt16",
                        "UInt16",
                        "UInt64",
                        "UInt64",
                        "UInt64",
                        "Nullable(FixedString(72))",
                        "Array(UInt8)",
                        "Array(Array(UInt16))",
                        "Array(UInt32)",
                        "DateTime64(3, 'UTC')",
                    ],
                }

            # Table 6: Strings — reuse code_binja_strings_raw for cross-format correlation
            # DEX strings are MUTF-8; string_raw = string since no encoding difference
            if self.analysis_results.get("strings"):
                export["strings_raw"] = {
                    "table": "code_binja_strings_raw",
                    "data": [
                        [
                            self.analysis_results["sha256"],
                            s["string"],
                            s["string"],  # string_raw = string (MUTF-8 decoded to UTF-8)
                            s.get("string_encoding", "UTF8"),
                            s.get("string_offset", 0),
                            s.get("string_length", len(s["string"])),
                            s.get("string_length", len(s["string"])),  # string_raw_length = string_length
                            s.get("string_entropy", 0.0),
                        ]
                        for s in self.analysis_results["strings"]
                    ],
                    "column_names": [
                        "sha256",
                        "string",
                        "string_raw",
                        "string_encoding",
                        "string_offset",
                        "string_length",
                        "string_raw_length",
                        "string_entropy",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "String",
                        "String",
                        "LowCardinality(String)",
                        "UInt64",
                        "UInt32",
                        "UInt32",
                        "Float32",
                    ],
                }

            # Table 7: Analysis errors
            if self.analysis_results.get("analysis_errors"):
                export["analysis_errors"] = {
                    "table": "code_apk_analysis_errors",
                    "data": [
                        [
                            self.analysis_results["sha256"],
                            f.get("class_name"),
                            f.get("method_name"),
                            f.get("error_location", "unknown"),
                            f.get("error_message", ""),
                            f.get("error_type", "unknown"),
                            self.calculate_md5(
                                f"{f.get('error_message', '')}"
                                f"{f.get('class_name', '')}"
                                f"{f.get('method_name', '')}"
                                f"{f.get('error_location', 'unknown')}"
                            ),
                            "new",
                            now,
                        ]
                        for f in self.analysis_results["analysis_errors"]
                    ],
                    "column_names": [
                        "sha256",
                        "class_name",
                        "method_name",
                        "error_location",
                        "error_message",
                        "error_type",
                        "error_hash",
                        "status",
                        "analysis_date",
                    ],
                    "column_type_names": [
                        "FixedString(64)",
                        "Nullable(String)",
                        "Nullable(String)",
                        "LowCardinality(String)",
                        "Nullable(String)",
                        "Nullable(String)",
                        "FixedString(32)",
                        "Enum8('new'=1, 'investigating'=2, 'fixed'=3, 'wontfix'=4)",
                        "DateTime64(3, 'UTC')",
                    ],
                }

            return export

        return None

    def tag(self) -> str:
        """Return the tag for this extractor."""
        return Tag.APK_DECOMPILED.value

    def get_clickhouse_table(self) -> str:
        """Not used directly as we're handling multiple tables."""
        pass