🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity, but the metadata risk score and potential typosquatting attempt raise concerns about its legitimacy.

metadata risk due to single author with suspicious naming
potential typosquatting targeting 'arq'

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
Metadata: The author has only one package and the name UR7 could be a typosquatting attempt.
⚠ Typosquatting target: arq

🔬 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 6.0

Possible typosquat of: arq, rq

"UR7" is 2 edit(s) from "arq"
"UR7" is 2 edit(s) from "rq"

✓ 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 2.0

1 maintainer concern(s) found

Author "devil" 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 UR7

Create a small, interactive Python application named 'UR7Explorer' that leverages the UR7 package to explore and manipulate data from various sources. UR7Explorer should have a user-friendly command-line interface (CLI) and support basic data manipulation operations such as filtering, sorting, and aggregation. Additionally, it should allow users to connect to different data sources including CSV files, SQL databases, and JSON files. The application should also provide an option to visualize data using simple plots (e.g., bar charts, line graphs) directly from the CLI.

Steps to develop UR7Explorer:
1. Install the required packages, including UR7 and any dependencies like pandas, matplotlib, and SQLAlchemy for database connectivity.
2. Design the CLI interface using argparse or similar library to accept user inputs for commands and options.
3. Implement functions within UR7Explorer to connect to various data sources using UR7's connection capabilities.
4. Develop data manipulation functions such as filter, sort, and aggregate that utilize UR7's core functionalities.
5. Integrate plotting functionality to generate visual representations of data using matplotlib or another suitable library.
6. Test UR7Explorer thoroughly with sample datasets to ensure all features work as expected.
7. Document the codebase and create a README file detailing installation instructions, usage examples, and feature descriptions.

Features:
- Connect to multiple data sources (CSV, SQL, JSON)
- Perform basic data manipulations (filtering, sorting, aggregating)
- Visualize data through simple plots
- User-friendly CLI for easy interaction