Vasco Thudichum Vasconcelos

69 papers A* 1A 5B 8C 11Journal 15Unranked 27
YearRankTypeTitle / Venue / Authors
2023 ed.
SPLASH Companion
Vasco Thudichum Vasconcelos
2019 A conf
ESOP
Laura Bocchi, Maurizio Murgia, Vasco Thudichum Vasconcelos, Nobuko Yoshida
2019 J jnl
J. Log. Algebraic Methods Program.
Philipp Haller, Vasco Thudichum Vasconcelos
2017 conf
PLACES@ETAPS
Francisco Martins, Vasco Thudichum Vasconcelos, Hans Hüttel
2016 J jnl
Math. Struct. Comput. Sci.
Marco Giunti, Vasco Thudichum Vasconcelos
2015 conf
ICE
César Santos, Francisco Martins, Vasco Thudichum Vasconcelos
2015 J jnl
Log. Methods Comput. Sci.
Simon J. Gay, Nils Gesbert, António Ravara, Vasco Thudichum Vasconcelos
2015 A conf
OOPSLA
Hugo A. López, Eduardo R. B. Marques, Francisco Martins, Nicholas Ng, César Santos, Vasco Thudichum Vasconcelos, Nobuko Yoshida
2014 C conf
COORDINATION
Dimitris Mostrous, Vasco Thudichum Vasconcelos
2014 J jnl
Formal Aspects Comput.
Luís Cruz-Filipe, Ivan Lanese, Francisco Martins, António Ravara, Vasco Thudichum Vasconcelos
2014 C conf
COORDINATION
Luca Padovani, Vasco Thudichum Vasconcelos, Hugo Torres Vieira
2013 conf
SEFM Workshops
Juliana Franco, Vasco Thudichum Vasconcelos
2013 C conf
COORDINATION
Tiago Cogumbreiro, Francisco Martins, Vasco Thudichum Vasconcelos
2013 C conf
COORDINATION
Hugo Torres Vieira, Vasco Thudichum Vasconcelos
2012 J jnl
Inf. Comput.
António Ravara, Pedro Resende, Vasco Thudichum Vasconcelos
2012 conf
LINEARITY
Pedro Baltazar, Dimitris Mostrous, Vasco Thudichum Vasconcelos
2012 J jnl
Sci. Comput. Program.
John Field, Vasco Thudichum Vasconcelos
2012 C conf
EuroMPI
Kohei Honda, Eduardo R. B. Marques, Francisco Martins, Nicholas Ng, Vasco Thudichum Vasconcelos, Nobuko Yoshida
2011 ch.
Results of the SENSORIA Project
Luís Caires, Rocco De Nicola, Rosario Pugliese, Vasco Thudichum Vasconcelos, Gianluigi Zavattaro
2011 C conf
COORDINATION
Dimitris Mostrous, Vasco Thudichum Vasconcelos
2010 J jnl
Inf. Comput.
Luís Caires, Vasco Thudichum Vasconcelos
2010 B conf
CONCUR
Marco Giunti, Vasco Thudichum Vasconcelos
2010 J jnl
J. Funct. Program.
Simon J. Gay, Vasco Thudichum Vasconcelos
2010 A* conf
POPL
Simon J. Gay, Vasco Thudichum Vasconcelos, António Ravara, Nils Gesbert, Alexandre Z. Caldeira
2010 conf
SBMF
Pedro Crispim, Antónia Lopes, Vasco Thudichum Vasconcelos
2010 conf
PLACES
Francisco Martins, Vasco Thudichum Vasconcelos, Tiago Cogumbreiro
2009 B conf
RV
Isabel Nunes, Antónia Lopes, Vasco Thudichum Vasconcelos
2009 C ed.
COORDINATION
John Field, Vasco Thudichum Vasconcelos
2009 conf
SFM
Vasco Thudichum Vasconcelos
2009 C conf
PPDP
Vasco Thudichum Vasconcelos
2009 conf
PLACES
Vasco Thudichum Vasconcelos, Francisco Martins, Tiago Cogumbreiro
2008 conf
FMOODS
Luís Cruz-Filipe, Ivan Lanese, Francisco Martins, António Ravara, Vasco Thudichum Vasconcelos
2008 conf
PLACES@DisCoTec
Tiago Cogumbreiro, Francisco Martins, Vasco Thudichum Vasconcelos
2008 conf
PLACES@DisCoTec
Vasco Thudichum Vasconcelos, Nobuko Yoshida
2008 conf
FMCO
Nobuko Yoshida, Vasco Thudichum Vasconcelos, Hervé Paulino, Kohei Honda
2008 conf
PLACES@DisCoTec
Kohei Honda, Vasco Thudichum Vasconcelos, Nobuko Yoshida
2007 B ed.
CONCUR
Luís Caires, Vasco Thudichum Vasconcelos
2007 B conf
SEFM
Ivan Lanese, Francisco Martins, Vasco Thudichum Vasconcelos, António Ravara
2006 C conf
ICFEM
Isabel Nunes, Antónia Lopes, Vasco Thudichum Vasconcelos, João Abreu, Luís S. Reis
2006 conf
SecReT@ICALP
Nobuko Yoshida, Vasco Thudichum Vasconcelos
2006 conf
WS-FM
Michele Boreale, Roberto Bruni, Luís Caires, Rocco De Nicola, Ivan Lanese, Michele Loreti, Francisco Martins, Ugo Montanari, António Ravara, Davide Sangiorgi, Vasco Thudichum Vasconcelos, Gianluigi Zavattaro
2006 J jnl
Theor. Comput. Sci.
Vasco Thudichum Vasconcelos, Simon J. Gay, António Ravara
2006 J jnl
Fundam. Informaticae
Antonio Vallecillo, Vasco Thudichum Vasconcelos, António Ravara
2005 conf
TGC
Francisco Martins, Vasco Thudichum Vasconcelos
2005 J jnl
J. Funct. Program.
Vasco Thudichum Vasconcelos
2005 conf
Foundations of Global Computing
Francisco Martins, Liliana C. M. Salvador, Vasco Thudichum Vasconcelos, Luís M. B. Lopes
2004 conf
Global Computing
Lorenzo Bettini, Rocco De Nicola, Daniele Falassi, Marc Lacoste, Luís M. B. Lopes, Licínio Oliveira, Hervé Paulino, Vasco Thudichum Vasconcelos
2004 B conf
CONCUR
Vasco Thudichum Vasconcelos, António Ravara, Simon J. Gay
2003 B conf
PaCT
Hervé Paulino, Pedro Marques, Luís M. B. Lopes, Vasco Thudichum Vasconcelos, Fernando M. A. Silva
2003 conf
FGC
António Ravara, Ana Gualdina Almeida Matos, Vasco Thudichum Vasconcelos, Luís M. B. Lopes
2002 conf
TIP@MPC
Francisco Martins, Luís M. B. Lopes, Vasco Thudichum Vasconcelos
2002 conf
FOCLASA
Antonio Vallecillo, Vasco Thudichum Vasconcelos, António Ravara
2001 J jnl
IEEE Trans. Computers
Luís M. B. Lopes, Vasco Thudichum Vasconcelos, Fernando M. A. Silva
2000 C conf
CLUSTER
Luís M. B. Lopes, Álvaro Reis Figueira, Fernando M. A. Silva, Vasco Thudichum Vasconcelos
2000 conf
IEEE PACT
Luís M. B. Lopes, Fernando M. A. Silva, Vasco Thudichum Vasconcelos
2000 A conf
ESOP
Kohei Honda, Vasco Thudichum Vasconcelos, Nobuko Yoshida
2000 B conf
CONCUR
António Ravara, Vasco Thudichum Vasconcelos
1999 C conf
PPDP
Luís M. B. Lopes, Fernando M. A. Silva, Vasco Thudichum Vasconcelos
1999 J jnl
Inf. Process. Lett.
Vasco Thudichum Vasconcelos, António Ravara
1999 J jnl
Theory Pract. Object Syst.
Vasco Thudichum Vasconcelos
1998 conf
HLCL
Vasco Thudichum Vasconcelos, Luís M. B. Lopes, Fernando M. A. Silva
1998 A conf
ESOP
Kohei Honda, Vasco Thudichum Vasconcelos, Makoto Kubo
1997 conf
Euro-Par
António Ravara, Vasco Thudichum Vasconcelos
1995 J jnl
Inf. Process. Lett.
Vasco Thudichum Vasconcelos
1994 conf
PARLE
Vasco Thudichum Vasconcelos
1994 A conf
ECOOP
Vasco Thudichum Vasconcelos
1993 conf
ISOTAS
Vasco Thudichum Vasconcelos, Mario Tokoro
1993 B conf
CONCUR
Vasco Thudichum Vasconcelos, Kohei Honda
1991 conf
Object-Based Concurrent Computing
Vasco Thudichum Vasconcelos, Mario Tokoro
redb/extractors/decompiler/apk/analyzer.py
← Index redb/extractors/decompiler/apk/analyzer.py python
"""APK Code Analyzer — orchestrates androguard + JADX + apktool analysis.

This is the APK equivalent of BinaryNinjaDecompiler in
redb/extractors/decompiler/bninja/decompiler.py.
"""

import math
import os
import tempfile
from collections import Counter
from concurrent.futures import ThreadPoolExecutor, as_completed
from typing import Any, Dict, List, Optional, Set

from redb.extractors.decompiler.apk.apktool_wrapper import ApktoolDisassembler
from redb.extractors.decompiler.apk.jadx_wrapper import JADXDecompiler
from redb.extractors.decompiler.apk.library_filter import LibraryFilter
from redb.extractors.decompiler.apk.method_extractor import (
    compute_minhash,
    compute_prime_product_smali,
    compute_sha256,
    compute_ssdeep,
    compute_tlsh,
    count_call_instructions,
    dalvik_to_java_class,
    dalvik_to_java_prototype,
    detect_obfuscation_indicators,
)
from redb.extractors.decompiler.apk.smali_normalization import normalize_method_body
from redb.extractors.decompiler.apk.smali_cfg import compute_cfg_metrics
from redb.extractors.decompiler.apk.smali_parser import SmaliParser


class APKCodeAnalyzer:
    """Orchestrates APK code analysis combining three tools.

    Combines androguard (call graphs, xrefs, method enumeration),
    JADX (Java decompilation), and apktool (smali disassembly).
    """

    def __init__(
        self,
        filepath: str,
        timeout: int = 600,
        log=None,
        decompile_modules: Set[str] = None,
    ):
        self.filepath = filepath
        self.timeout = timeout
        self.log = log
        self.decompile_modules = decompile_modules or {"all"}
        self.min_instructions = int(
            os.getenv("APK_MIN_METHOD_INSTRUCTIONS", "5")
        )
        self.library_filter = LibraryFilter()
        self.jadx = JADXDecompiler(log=log)
        self.apktool = ApktoolDisassembler(log=log)

        self._temp_dirs = []

    def extract(self) -> Dict[str, Any]:
        """Run full APK code analysis.

        Returns dict with keys:
            decompiled_content, decompiled_refs,
            smali_content, smali_refs,
            similarity_metrics, strings, analysis_errors
        """
        results = {
            "decompiled_content": [],
            "decompiled_refs": [],
            "smali_content": [],
            "smali_refs": [],
            "similarity_metrics": [],
            "cfg": [],
            "strings": [],
            "analysis_errors": [],
        }

        # Create temp directories
        jadx_dir = tempfile.mkdtemp(prefix="redb_jadx_")
        apktool_dir = tempfile.mkdtemp(prefix="redb_apktool_")
        self._temp_dirs.extend([jadx_dir, apktool_dir])

        # Step 1-3: Run JADX, apktool, and androguard in parallel
        jadx_success = False
        apktool_success = False
        androguard_result = None

        with ThreadPoolExecutor(max_workers=3) as executor:
            futures = {}
            futures[executor.submit(self.jadx.decompile, self.filepath, jadx_dir)] = "jadx"
            futures[executor.submit(self.apktool.disassemble, self.filepath, apktool_dir)] = "apktool"
            futures[executor.submit(self._run_androguard)] = "androguard"

            for future in as_completed(futures):
                tool = futures[future]
                try:
                    result = future.result()
                    if tool == "jadx":
                        jadx_success = result
                    elif tool == "apktool":
                        apktool_success = result
                    elif tool == "androguard":
                        androguard_result = result
                except Exception as e:
                    if self.log:
                        self.log.error(f"{tool} failed: {e}")
                    results["analysis_errors"].append({
                        "class_name": None,
                        "method_name": None,
                        "error_location": tool,
                        "error_message": str(e),
                        "error_type": type(e).__name__,
                    })

        if androguard_result is None:
            if self.log:
                self.log.error("Androguard analysis failed — cannot proceed")
            return results

        apk_obj, dexs, analysis = androguard_result

        # Step 4b: Extract strings from DEX files
        try:
            results["strings"] = self._extract_strings(dexs)
        except Exception as e:
            if self.log:
                self.log.error(f"String extraction failed: {e}")
            results["analysis_errors"].append({
                "class_name": None,
                "method_name": None,
                "error_location": "strings",
                "error_message": f"String extraction failed: {e}",
                "error_type": type(e).__name__,
            })

        # Step 5: Parse smali output
        smali_methods = {}
        if apktool_success:
            try:
                smali_dirs = self.apktool.get_smali_directories(apktool_dir)
                for sdir in smali_dirs:
                    smali_methods.update(SmaliParser.parse_smali_directory(sdir))
            except Exception as e:
                if self.log:
                    self.log.error(f"Smali parsing failed: {e}")
                results["analysis_errors"].append({
                    "class_name": None,
                    "method_name": None,
                    "error_location": "apktool",
                    "error_message": f"Smali parsing failed: {e}",
                    "error_type": type(e).__name__,
                })

        # Step 6: Parse Java output
        java_methods = {}
        if jadx_success:
            try:
                java_methods = self.jadx.parse_java_methods(jadx_dir)
            except Exception as e:
                if self.log:
                    self.log.error(f"Java parsing failed: {e}")
                results["analysis_errors"].append({
                    "class_name": None,
                    "method_name": None,
                    "error_location": "jadx",
                    "error_message": f"Java parsing failed: {e}",
                    "error_type": type(e).__name__,
                })

        if not apktool_success and self.log:
            self.log.info(
                "apktool failed — falling back to androguard disassembly"
            )

        # Step 7-8: Process each method from androguard
        seen_decompiled_hashes = set()
        seen_smali_hashes = set()

        try:
            for method in analysis.get_methods():
                try:
                    self._process_method(
                        method,
                        smali_methods,
                        java_methods,
                        results,
                        seen_decompiled_hashes,
                        seen_smali_hashes,
                    )
                except Exception as e:
                    method_name = "unknown"
                    class_name = "unknown"
                    try:
                        if not method.is_external():
                            enc = method.get_method()
                            class_name = enc.get_class_name()
                            method_name = enc.get_name()
                    except Exception:
                        pass
                    results["analysis_errors"].append({
                        "class_name": class_name,
                        "method_name": method_name,
                        "error_location": "analysis",
                        "error_message": str(e),
                        "error_type": type(e).__name__,
                    })
        except Exception as e:
            if self.log:
                self.log.error(f"Method enumeration failed: {e}")
            results["analysis_errors"].append({
                "class_name": None,
                "method_name": None,
                "error_location": "androguard",
                "error_message": f"Method enumeration failed: {e}",
                "error_type": type(e).__name__,
            })

        if self.log:
            stats = self.library_filter.get_filter_stats()
            self.log.info(
                f"APK analysis complete: {stats['user']} user methods, "
                f"{stats['library']} library methods filtered, "
                f"{len(results['decompiled_content'])} decompiled, "
                f"{len(results['smali_content'])} smali, "
                f"{len(results['strings'])} strings"
            )

        return results

    def _run_androguard(self):
        """Run androguard analysis on the APK."""
        from androguard.misc import AnalyzeAPK
        return AnalyzeAPK(self.filepath)

    def _process_method(
        self,
        method,
        smali_methods: Dict,
        java_methods: Dict,
        results: Dict,
        seen_decompiled: set,
        seen_smali: set,
    ):
        """Process a single method from androguard analysis."""
        # Skip external methods (no code body)
        if method.is_external():
            return

        encoded = method.get_method()
        class_name = encoded.get_class_name()
        method_name = encoded.get_name()
        descriptor = encoded.get_descriptor()

        # Build method key for cross-tool matching
        method_key = SmaliParser.make_method_key(class_name, method_name, descriptor)

        # Check if library
        is_lib = self.library_filter.is_library(class_name)
        method_type = "LIBRARY" if is_lib else "USER"

        # Skip library methods for content tables (but they're still in xrefs)
        if is_lib:
            return

        # Get xrefs
        # In androguard 4.x, xref tuples are (ClassAnalysis, MethodAnalysis, offset).
        # The MethodAnalysis wrapper doesn't expose get_class_name()/get_name()
        # directly — we need to unwrap via .get_method() first.
        callers = []
        callees = []
        try:
            for ref_class, ref_method, offset in method.get_xref_from():
                try:
                    enc = ref_method.get_method()
                    caller_key = f"{enc.get_class_name()}->{enc.get_name()}"
                except AttributeError:
                    # Fallback for older androguard where ref_method is EncodedMethod
                    caller_key = f"{ref_method.get_class_name()}->{ref_method.get_name()}"
                callers.append(caller_key)
        except Exception:
            pass

        try:
            for ref_class, ref_method, offset in method.get_xref_to():
                try:
                    enc = ref_method.get_method()
                    callee_key = f"{enc.get_class_name()}->{enc.get_name()}"
                except AttributeError:
                    callee_key = f"{ref_method.get_class_name()}->{ref_method.get_name()}"
                callees.append(callee_key)
        except Exception:
            pass

        # Look up smali body
        smali_method = smali_methods.get(method_key)
        smali_body = None
        smali_normalized = None
        smali_hash = None
        instruction_count = 0
        register_count = 0

        if smali_method:
            smali_body = smali_method.body
            instruction_count = smali_method.instruction_count
            register_count = smali_method.register_count
        else:
            # Fallback: use androguard's own disassembler
            smali_body, instruction_count, register_count = (
                self._disassemble_with_androguard(encoded)
            )

        # Apply minimum instruction filter
        if instruction_count < self.min_instructions:
            return

        if smali_body:
            smali_normalized = SmaliParser.normalize_smali_body(smali_body)
            if smali_normalized:
                smali_hash = compute_sha256(smali_normalized)

        if not smali_hash:
            return

        # Compute obfuscation indicators from smali
        obfuscation = detect_obfuscation_indicators(
            method_name, class_name, smali_body, instruction_count
        )

        # Compute CFG metrics early — needed for both content tables and cfg table
        cfg_metrics = None
        if smali_body:
            try:
                cfg_metrics = compute_cfg_metrics(smali_body)
            except Exception:
                pass

        # Smali content (deduplicated)
        if smali_hash and smali_hash not in seen_smali:
            seen_smali.add(smali_hash)
            results["smali_content"].append({
                "smali_method_hash": smali_hash,
                "smali_method": smali_body,
                "smali_method_type": method_type,
                "smali_instructions_count": instruction_count,
                "smali_register_count": register_count,
                "smali_has_string_encryption": obfuscation.get("has_string_encryption", False),
                "smali_has_reflection_calls": obfuscation.get("has_reflection_calls", False),
                "smali_excessive_goto_count": obfuscation.get("excessive_goto_count", False),
                "smali_flattened_score": cfg_metrics.flattened_score if cfg_metrics else 0.0,
                "smali_mba_score": cfg_metrics.mba_score if cfg_metrics else 0.0,
            })

        # Smali reference (per-binary)
        ssdeep_val = compute_ssdeep(smali_normalized) if smali_normalized else None
        tlsh_val = compute_tlsh(smali_normalized) if smali_normalized else None

        # Semantically normalized ssdeep/TLSH (analogous to Binja's ssdeep_llil/tlsh_llil)
        ssdeep_normalized_val = None
        tlsh_normalized_val = None
        if smali_normalized:
            normalized_lines = normalize_method_body(smali_normalized, level="opcode_api")
            if normalized_lines:
                normalized_text = "\n".join(normalized_lines)
                ssdeep_normalized_val = compute_ssdeep(normalized_text)
                tlsh_normalized_val = compute_tlsh(normalized_text)

        # Look up Java source
        java_class = dalvik_to_java_class(class_name)
        java_key_candidates = [
            f"{java_class}.{method_name}",
        ]
        java_source = None
        decompiled_hash = None

        for jk in java_key_candidates:
            for key, source in java_methods.items():
                if key.startswith(jk):
                    java_source = source
                    break
            if java_source:
                break

        if java_source:
            # Normalize and hash decompiled content
            normalized_java = _normalize_java(java_source)
            decompiled_hash = compute_sha256(normalized_java)

            # Decompiled content (deduplicated)
            if decompiled_hash not in seen_decompiled:
                seen_decompiled.add(decompiled_hash)
                results["decompiled_content"].append({
                    "decompiled_method_hash": decompiled_hash,
                    "decompiled_method": java_source,
                    "decompiled_method_type": method_type,
                    "decompiled_has_string_encryption": obfuscation.get("has_string_encryption", False),
                    "decompiled_has_reflection_calls": obfuscation.get("has_reflection_calls", False),
                    "decompiled_excessive_goto_count": obfuscation.get("excessive_goto_count", False),
                })

            # Decompiled reference
            method_prototype = dalvik_to_java_prototype(
                method_name, descriptor, class_name
            )
            results["decompiled_refs"].append({
                "decompiled_method_hash": decompiled_hash,
                "smali_method_hash": smali_hash,
                "decompiled_class_name": dalvik_to_java_class(class_name),
                "decompiled_method_name": method_name,
                "decompiled_method_signature": descriptor,
                "decompiled_method_prototype": method_prototype,
                "functions_caller": callers,
                "functions_call": callees,
            })

        # Smali reference
        if smali_hash:
            results["smali_refs"].append({
                "smali_method_hash": smali_hash,
                "decompiled_method_hash": decompiled_hash,
                "smali_class_name": dalvik_to_java_class(class_name),
                "smali_method_name": method_name,
                "smali_method_signature": descriptor,
                "ssdeep_smali": ssdeep_val,
                "tlsh_smali": tlsh_val,
            })

        # Similarity metrics (content-based fuzzy matching only)
        if smali_hash and smali_normalized:
            minhash_sig = compute_minhash(smali_normalized)
            sim_entry = {
                "smali_method_hash": smali_hash,
                "cyclomatic_complexity": cfg_metrics.cyclomatic_complexity if cfg_metrics else None,
                "ssdeep_smali": ssdeep_val,
                "tlsh_smali": tlsh_val,
                "ssdeep_smali_normalized": ssdeep_normalized_val,
                "tlsh_smali_normalized": tlsh_normalized_val,
                "minhash": minhash_sig or [],
            }
            results["similarity_metrics"].append(sim_entry)

        # CFG entry (structural/topological features)
        if smali_hash and cfg_metrics and smali_body:
            prime_product = compute_prime_product_smali(smali_body)
            call_count = count_call_instructions(smali_body)
            cfg_entry = {
                "smali_method_hash": smali_hash,
                "cfg_topology_hash": cfg_metrics.cfg_topology_hash,
                "block_count": cfg_metrics.block_count,
                "edge_count": cfg_metrics.edge_count,
                "cfg_instructions_count": instruction_count,
                "call_count": call_count,
                "cyclomatic_complexity": cfg_metrics.cyclomatic_complexity,
                "loop_count": cfg_metrics.loop_count,
                "max_depth": cfg_metrics.max_depth,
                "max_fan_out": cfg_metrics.max_fan_out,
                "md_index_topdown": cfg_metrics.md_index_topdown,
                "md_index_bottomup": cfg_metrics.md_index_bottomup,
                "prime_product_smali": prime_product,
                "cfg_feature_tlsh": cfg_metrics.cfg_feature_tlsh,
                "wl_minhash": cfg_metrics.wl_minhash,
                "bb_features": cfg_metrics.block_features,
                "cfg_adjacency": cfg_metrics.cfg_adjacency,
            }
            results["cfg"].append(cfg_entry)

    @staticmethod
    def _string_entropy(s: str) -> float:
        """Compute Shannon entropy of a string."""
        if not s:
            return 0.0
        freq = Counter(s)
        length = len(s)
        return -sum(
            (count / length) * math.log2(count / length)
            for count in freq.values()
        )

    def _extract_strings(self, dexs) -> List[Dict[str, Any]]:
        """Extract deduplicated strings from all DEX objects.

        Uses androguard's get_strings() on each DEX, deduplicates by value,
        and computes entropy — matching the Binja StringAnalysis output format
        so IOCExtractorFromResults can consume them identically.

        Returns list of dicts with keys:
            string, string_encoding, string_offset, string_length, string_entropy
        """
        seen = set()
        strings = []
        offset_counter = 0

        for dex in dexs:
            try:
                dex_strings = dex.get_strings()
            except Exception:
                continue

            if not dex_strings:
                continue

            for s in dex_strings:
                if not s or s in seen:
                    continue
                # DEX MUTF-8 strings may contain unpaired surrogates (e.g. \ud800)
                # that are invalid UTF-8 and will fail ClickHouse insert
                s = s.encode('utf-8', errors='replace').decode('utf-8')
                if not s or s in seen:
                    continue
                seen.add(s)

                strings.append({
                    "string": s,
                    "string_encoding": "UTF8",
                    "string_offset": offset_counter,
                    "string_length": len(s),
                    "string_entropy": self._string_entropy(s),
                })
                offset_counter += 1

        return strings

    @staticmethod
    def _disassemble_with_androguard(encoded):
        """Fallback disassembly using androguard when apktool fails.

        Returns (smali_body, instruction_count, register_count).
        """
        code = encoded.get_code()
        if not code:
            return None, 0, 0

        register_count = code.get_registers_size()
        lines = []
        instruction_count = 0

        try:
            bytecode = code.get_bc()
            if not bytecode:
                return None, 0, register_count

            for instruction in bytecode.get_instructions():
                op_name = instruction.get_name()
                output = instruction.get_output()
                if output:
                    output = _normalize_androguard_operands(op_name, output)
                    lines.append(f"    {op_name} {output}")
                else:
                    lines.append(f"    {op_name}")
                instruction_count += 1
        except Exception:
            return None, 0, register_count

        if not lines:
            return None, 0, register_count

        smali_body = "\n".join(lines)
        return smali_body, instruction_count, register_count

    def cleanup(self):
        """Remove temporary directories."""
        import shutil
        for d in self._temp_dirs:
            try:
                if os.path.isdir(d):
                    shutil.rmtree(d)
            except Exception:
                pass
        self._temp_dirs.clear()


def _normalize_androguard_operands(op_name: str, output: str) -> str:
    """Normalize androguard instruction output to match apktool smali format.

    Androguard's get_output() differs from apktool in two key ways:
    1. invoke-* operands lack {braces} around registers:
       androguard: 'v0, v1, Lcom/Foo;->bar()V'
       apktool:    '{v0, v1}, Lcom/Foo;->bar()V'
    2. Field instructions use a space instead of colon between name and type:
       androguard: 'v0, v1, LA;->field Ljava/lang/String;'
       apktool:    'v0, v1, LA;->field:Ljava/lang/String;'
    """
    # invoke-* instructions: wrap register args in {braces}
    if op_name.startswith("invoke-"):
        # Find the class/method reference (starts with L or [)
        # Split on ', ' and find where the reference begins
        parts = output.split(", ")
        reg_parts = []
        ref_idx = None
        for i, part in enumerate(parts):
            stripped = part.strip()
            if stripped.startswith("L") or stripped.startswith("["):
                ref_idx = i
                break
            reg_parts.append(part)

        if ref_idx is not None and reg_parts:
            regs = ", ".join(reg_parts)
            ref = ", ".join(parts[ref_idx:])
            return "{" + regs + "}, " + ref
        elif reg_parts:
            # No reference found — just wrap all as registers
            return "{" + ", ".join(reg_parts) + "}"

    # Field instructions: fix 'field Ltype;' → 'field:Ltype;'
    if op_name.startswith(("iget", "iput", "sget", "sput")):
        # Pattern: '... ClassName;->fieldName Ltype;' or '... ClassName;->fieldName [Ltype;'
        # The space between fieldName and the type descriptor should be a colon
        arrow_idx = output.find("->")
        if arrow_idx != -1:
            after_arrow = output[arrow_idx + 2:]
            # Find the space before the type descriptor
            space_idx = after_arrow.find(" ")
            if space_idx != -1:
                remaining = after_arrow[space_idx + 1:]
                # Check that what follows is a type descriptor
                if remaining.startswith(("L", "[", "Z", "B", "S", "C",
                                         "I", "J", "F", "D")):
                    after_arrow = after_arrow[:space_idx] + ":" + remaining
                    output = output[:arrow_idx + 2] + after_arrow

    return output


def _normalize_java(source: str) -> str:
    """Normalize Java source for consistent hashing.

    Strip leading/trailing whitespace, normalize indentation.
    """
    lines = []
    for line in source.split("\n"):
        stripped = line.strip()
        if stripped:
            lines.append(stripped)
    return "\n".join(lines)