ワンクリックでManusで任意のスキルを実行

analyzing-android-malware-with-apktool

スター29

フォーク5

更新日2026年6月14日 18:37

Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.

インストール

Codex または Claude でインストールこの Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。

Manusで実行

ソース

26zl

26zl/cybersec-toolkit

GitHub リポジトリを開く Creator のリポジトリを見る

ダウンロード

Manusで実行

Analyzing Android Malware with Apktool

Overview

Android malware distributed as APK files can be statically analyzed to extract permissions, activities, services, broadcast receivers, and suspicious API calls without executing the sample. This skill uses androguard for programmatic APK analysis, identifying dangerous permission combinations, obfuscated code patterns, dynamic code loading, reflection-based API calls, and network communication indicators.

When to Use

When investigating security incidents that require analyzing android malware with apktool
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques

Prerequisites

Python 3.9+ with androguard
apktool (for resource decompilation)
jadx (for Java source recovery, optional)
Isolated analysis environment (VM or sandbox)
Sample APK files for analysis

Steps

Parse APK with androguard to extract manifest metadata
Enumerate requested permissions and flag dangerous combinations
List activities, services, receivers, and providers from manifest
Scan for suspicious API calls (reflection, crypto, SMS, telephony)
Detect dynamic code loading patterns (DexClassLoader, Runtime.exec)
Extract hardcoded URLs, IPs, and C2 indicators from strings
Generate risk assessment report with MITRE ATT&CK mobile mappings

Expected Output

JSON report with permission analysis, component listing, suspicious API calls, network indicators, and risk score
Extracted strings and potential IOCs from the APK

このリポジトリの他の Skills

同じリポジトリ

building-incident-response-dashboard

26zl/cybersec-toolkit

Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

2026-07-0329

configuring-suricata-for-network-monitoring

26zl/cybersec-toolkit

Deploys and configures Suricata IDS/IPS with Emerging Threats rulesets, EVE JSON logging, and custom rules for real-time network traffic inspection, threat detection, and integration with SIEM platforms for centralized security monitoring.

2026-07-0329

detecting-credential-dumping-techniques

26zl/cybersec-toolkit

Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules

2026-07-0329

implementing-cloud-security-posture-management

26zl/cybersec-toolkit

Implementing Cloud Security Posture Management (CSPM) to continuously monitor multi-cloud environments for misconfigurations, compliance violations, and security risks using Prowler, ScoutSuite, AWS Security Hub, Azure Defender, and GCP Security Command Center.

2026-07-0329

performing-memory-forensics-with-volatility3

26zl/cybersec-toolkit

Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity.

2026-07-0329

performing-osint-with-spiderfoot

26zl/cybersec-toolkit

Automate OSINT collection using SpiderFoot REST API and CLI for target profiling, module-based reconnaissance, and structured result analysis across 200+ data sources

2026-07-0329

name	analyzing-android-malware-with-apktool
description	Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
domain	cybersecurity
subdomain	malware-analysis
tags	["Android","APK","apktool","jadx","androguard","mobile-malware","static-analysis","reverse-engineering"]
version	1.0
author	mahipal
license	Apache-2.0
nist_csf	["DE.AE-02","RS.AN-03","ID.RA-01","DE.CM-01"]

Analyzing Android Malware with Apktool

Overview

When to Use

When investigating security incidents that require analyzing android malware with apktool
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques

Prerequisites

Python 3.9+ with androguard
apktool (for resource decompilation)
jadx (for Java source recovery, optional)
Isolated analysis environment (VM or sandbox)
Sample APK files for analysis

Steps

Parse APK with androguard to extract manifest metadata
Enumerate requested permissions and flag dangerous combinations
List activities, services, receivers, and providers from manifest
Scan for suspicious API calls (reflection, crypto, SMS, telephony)
Detect dynamic code loading patterns (DexClassLoader, Runtime.exec)
Extract hardcoded URLs, IPs, and C2 indicators from strings
Generate risk assessment report with MITRE ATT&CK mobile mappings

Expected Output

JSON report with permission analysis, component listing, suspicious API calls, network indicators, and risk score
Extracted strings and potential IOCs from the APK