aosp

v0.1.2 suspicious
4.0
Medium Risk

Python wrapper for AOSP tasks

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of obfuscation and credential harvesting, but its metadata suggests potential low-effort creation and typosquatting targeting 'amqp'. This combination raises suspicion without conclusive evidence of malintent.

  • Low obfuscation risk
  • Low credential risk
  • Suspicious metadata
  • Typosquatting attempt
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some low-effort signs and could be suspicious due to its similarity to a known package name, but there's not enough evidence to conclusively determine it as malicious.
  • ⚠ Typosquatting target: amqp

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_aosp.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2871 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 5.0

Partial type annotation coverage

  • 12 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 4 commits in dhkim09a-org/aosp
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: amqp

  • "aosp" is 2 edit(s) from "amqp"
✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Donghwi Kim" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aosp 
Create a Python-based utility called 'AOSP-Manager' which will streamline common tasks related to Android Open Source Project (AOSP). This utility should be designed for developers who work with AOSP regularly but want a more convenient way to manage their tasks without having to manually execute complex commands. The utility should be able to perform several key operations such as fetching source code, building specific modules, cleaning up build directories, and fetching dependencies automatically. 

To achieve this, you'll utilize the 'aosp' Python package, which provides a set of functions specifically tailored for interacting with AOSP.

### Core Features:
1. **Source Code Fetching:** Allow users to specify the branch or tag they want to fetch from AOSP and download it into a specified directory.
2. **Build Module Selection:** Enable users to select one or more modules to build from the fetched source code. Provide a user-friendly interface to navigate through available modules.
3. **Dependency Management:** Automatically fetch any missing dependencies required for the selected modules.
4. **Build Status Monitoring:** Display real-time progress during the build process, including any errors encountered.
5. **Clean-Up Functionality:** Offer options to clean up build directories after a successful or failed build, ensuring minimal disk usage.
6. **Logging & Reporting:** Maintain logs of all operations performed by the utility and generate reports on the success rate of builds over time.

### Implementation Steps:
1. **Setup Environment:** Begin by setting up your development environment with Python and installing the 'aosp' package.
2. **Design UI/UX:** Decide on the interface design. It could be a simple CLI or a graphical interface depending on user preference.
3. **Integration with 'aosp':** Use the 'aosp' package functions to handle the low-level interactions with AOSP, such as fetching sources, building modules, etc.
4. **Error Handling & Logging:** Implement robust error handling and logging mechanisms to ensure the utility remains stable and informative.
5. **Testing:** Rigorously test each feature to ensure reliability and efficiency.
6. **Documentation & Deployment:** Document all functionalities and deployment instructions clearly.

This project not only enhances productivity for AOSP developers but also showcases the power of leveraging specialized Python packages for automating complex workflows.

💬 Discussion Feed

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