advanced-alchemy

v1.11.0 suspicious
5.0
Medium Risk

Ready-to-go SQLAlchemy concoctions.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and lacks detailed metadata, suggesting it may be risky. However, there's no concrete evidence of malicious activity.

  • Obfuscation risk due to base64 decoding
  • Incomplete metadata and missing repository
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 command injection or unauthorized system access.
  • Obfuscation: The presence of base64 decoding without clear context suggests potential obfuscation to hide code logic.
  • Credentials: No direct evidence of credential harvesting is present, but vigilance is advised.
  • Metadata: The repository is not found and the maintainer has limited information available, raising suspicion.

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • rn None raw = base64.b64decode(item.encode("ascii")) results.append(deseria
  • try: return base64.b64decode(value) except Exception: # noqa: BLE001
Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: z7x.org>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 advanced-alchemy
Create a small but fully-functional inventory management system using Python, leveraging the 'advanced-alchemy' package. This application will allow users to manage a database of items, including adding new items, updating existing ones, deleting items, and listing all items in the inventory. Each item should have attributes such as name, category, quantity, and price. Additionally, implement a feature to generate a report showing total value of the inventory based on current stock and prices. Use 'advanced-alchemy' to handle database interactions efficiently, ensuring that your code is clean and maintainable. The application should include a simple command-line interface for user interaction. Suggested features include:
- User authentication to restrict access
- Ability to categorize items for easier searching and filtering
- A backup/restore functionality for the database
- Basic error handling for database operations
Remember to document your code well and provide clear instructions on how to set up and run the application.