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Anthropic-Cybersecurity-Skills/skills/analyzing-android-malware-with-apktool/SKILL.md
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mukul975 cb8d79e068 Map all 754 skills to MITRE ATT&CK v19.1
- Add validated mitre_attack frontmatter to all 754 skills (286 distinct
  techniques), verified against MITRE ATT&CK v19.1 via the official
  mitreattack-python library: 0 revoked, deprecated, or invalid IDs
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  threat-intel, and red-team skills (e.g. DCSync -> T1003.006,
  Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003)
- Reconcile v19.1 tactic restructuring: Defense Evasion split into
  Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.*
  family and T1070.001/.002 remapped to active equivalents (T1685.*)
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  stopword tags, add semantic cybersecurity tags)
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2026-06-01 12:13:29 +02:00

2.2 KiB

name, description, domain, subdomain, tags, version, author, license, nist_csf, mitre_attack
name description domain subdomain tags version author license nist_csf mitre_attack
analyzing-android-malware-with-apktool 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. cybersecurity malware-analysis
Android
APK
apktool
jadx
androguard
mobile-malware
static-analysis
reverse-engineering
1.0 mahipal Apache-2.0
DE.AE-02
RS.AN-03
ID.RA-01
DE.CM-01
T1406
T1407
T1626.001
T1655.001
T1521.001

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

  1. Parse APK with androguard to extract manifest metadata
  2. Enumerate requested permissions and flag dangerous combinations
  3. List activities, services, receivers, and providers from manifest
  4. Scan for suspicious API calls (reflection, crypto, SMS, telephony)
  5. Detect dynamic code loading patterns (DexClassLoader, Runtime.exec)
  6. Extract hardcoded URLs, IPs, and C2 indicators from strings
  7. 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