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.
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Installation Guide
How to use analyzing-android-malware-with-apktool on Cursor
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Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
analyzing-android-malware-with-apktool
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches analyzing-android-malware-with-apktool from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate analyzing-android-malware-with-apktool. Access via /analyzing-android-malware-with-apktool in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
| 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
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
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- IIshan Jackson★★★★★Dec 20, 2024
Keeps context tight: analyzing-android-malware-with-apktool is the kind of skill you can hand to a new teammate without a long onboarding doc.
- GGanesh Mohane★★★★★Dec 12, 2024
Solid pick for teams standardizing on skills: analyzing-android-malware-with-apktool is focused, and the summary matches what you get after install.
- LLucas Malhotra★★★★★Dec 12, 2024
We added analyzing-android-malware-with-apktool from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- XXiao Ramirez★★★★★Dec 8, 2024
analyzing-android-malware-with-apktool is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- XXiao Sanchez★★★★★Dec 4, 2024
analyzing-android-malware-with-apktool reduced setup friction for our internal harness; good balance of opinion and flexibility.
- LLucas Jain★★★★★Dec 4, 2024
Registry listing for analyzing-android-malware-with-apktool matched our evaluation — installs cleanly and behaves as described in the markdown.
- YYash Thakker★★★★★Nov 27, 2024
analyzing-android-malware-with-apktool is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- XXiao Patel★★★★★Nov 23, 2024
I recommend analyzing-android-malware-with-apktool for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- OOmar Kim★★★★★Nov 23, 2024
Useful defaults in analyzing-android-malware-with-apktool — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- LLucas Khanna★★★★★Nov 15, 2024
Keeps context tight: analyzing-android-malware-with-apktool is the kind of skill you can hand to a new teammate without a long onboarding doc.
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