AI Analysis
Final verdict: SAFE
The package shows minimal risks across all categories except for metadata, which suggests potential maintenance concerns. However, there is no evidence of malicious activity.
- Low network and shell execution risks.
- No signs of obfuscation or credential harvesting.
Per-check LLM notes
- Network: No network calls detected, indicating minimal risk of data exfiltration or C2 communication.
- Shell: Shell execution is present but appears to be related to Android device management through ADB, which is consistent with the package's likely purpose.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has non-secure links and a single-package author, suggesting potential new or less active maintenance.
Package Quality Overall: Medium (5.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (4327 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
7.0
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project259 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
22 unique contributor(s) across 100 commits in androguard/androguardActive community — 5 or more distinct contributors
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 6.0
Found 3 shell execution pattern(s)
pid_value = ( os.popen( "adb -s {} shell pidof {}".format(".format(device_id, cmd)) subprocess.run('adb -s {} {}'.format(device_id, cmd), shell=True) import c} {}'.format(device_id, cmd), shell=True) import collections import hashlib from typing import Iter
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: t0t0.fr
Suspicious Page Links
score 6.0
Found 3 suspicious link(s) on the package page
Non-HTTPS external link: http://androguard.github.io/androguard/Non-HTTPS external link: http://appknox.comNon-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
Git Repository History
Repository androguard/androguard appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "desnos" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with androguard
Your task is to develop a Python-based utility named 'AndroidAppAnalyzer' using the 'androguard' package. This utility will serve as a powerful tool for reverse-engineering Android APK files to extract useful information such as permissions, libraries, and potential security risks. Here’s a detailed breakdown of what your utility should accomplish: 1. **APK File Upload**: Allow users to upload APK files via a simple command-line interface or a graphical user interface. 2. **File Analysis**: Use 'androguard' to analyze the uploaded APK file, extracting key components such as manifest permissions, native libraries, and code snippets. 3. **Security Check**: Implement a feature to scan the APK for common security vulnerabilities like insecure storage, dangerous permissions, and known malware signatures. 4. **Report Generation**: Create a comprehensive report summarizing the findings from the analysis. This report should include a list of permissions required by the app, detected libraries, any identified security issues, and recommendations for improvement. 5. **User Interface**: Develop either a CLI or a GUI interface based on your preference. For a CLI, ensure it’s easy to use and outputs results clearly. For a GUI, design an intuitive layout with clear sections for each type of data extracted. To achieve these objectives, you'll need to leverage 'androguard' effectively. Start by installing the package and familiarizing yourself with its API documentation. Key functions to explore include parsing APK files, accessing manifest information, and scanning bytecode for suspicious patterns. Additionally, consider integrating external databases or lists of known malicious signatures to enhance the security check functionality. This project not only enhances your understanding of Android app structure but also sharpens your skills in handling complex data extraction and analysis tasks.