🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is rated suspicious due to its network communication activities, despite having no evidence of shell execution, obfuscation, or credential harvesting. The low activity of the maintainer also adds some concern.

network risk due to external service communication
low maintainer activity

Per-check LLM notes

Network: The presence of network calls suggests the package communicates with external services, which could be legitimate but requires further investigation to ensure it's not used for unauthorized data exchange.
Shell: No shell execution patterns were detected, indicating low risk for direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package appears to be new and the maintainer has limited activity, which could indicate a low-risk scenario but warrants monitoring.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

ncoded" token_response = requests.post( final_token_url, headers=headers, d
_id() try: res = requests.post( token_url, headers={"Content-Type":
progress bar.""" with requests.get(url, stream=True, timeout=300) as r: r.raise_for
= None try: with requests.get(s3_url, stream=True, timeout=600) as r: status_c
None try: resp = requests.get( f"{get_base_url()}{endpoint}", head

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "A-Alpha Bio" 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 aablocks

Create a bioinformatics tool using the 'aablocks' Python package that allows researchers to query and analyze datasets from the Atlas platform. Your application should be user-friendly and provide detailed insights into the data. Here’s a detailed breakdown of the project requirements:

1. **Project Name:** AtlasBioExplorer
2. **Core Functionality:**
- Users should be able to authenticate and access their Atlas account.
- Provide a searchable database interface to explore various datasets available on the Atlas platform.
- Allow users to select specific datasets and view detailed information about them.
3. **Features:**
- **Data Visualization:** Implement basic visualization tools (e.g., charts, graphs) to help users understand complex data points more easily.
- **Download Option:** Enable users to download selected datasets directly from the application.
- **Custom Queries:** Offer advanced options for users to perform custom queries on the datasets.
4. **Implementation Steps:**
- Start by setting up your development environment and installing the 'aablocks' package.
- Authenticate users through the Atlas API using OAuth2.0 protocol.
- Utilize 'aablocks' to fetch dataset metadata and content from the Atlas platform.
- Develop a simple GUI using libraries like PyQt or Tkinter for the application interface.
- Integrate data visualization capabilities using matplotlib or seaborn.
5. **Utilization of 'aablocks':**
- Use 'aablocks' to handle all communication with the Atlas API, including authentication and data retrieval.
- Leverage the package's functions to filter and sort datasets based on user input.
6. **Testing:**
- Thoroughly test the application to ensure it handles different types of user inputs correctly and securely.
- Validate that the data retrieved matches expectations and that visualizations are accurate.
7. **Documentation:**
- Write comprehensive documentation explaining how to use the application and how to integrate it with other tools.
- Include examples of how to extend the functionality of the application.