🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits suspicious metadata activities and maintains a moderate network interaction score, raising concerns about its legitimacy and potential for supply-chain attacks.

Suspicious git repository and maintainer history
Moderate network interaction suggesting potential data transmission risks

Per-check LLM notes

Network: Network calls suggest legitimate HTTP requests for testing purposes, likely not malicious.
Shell: No shell execution patterns detected, indicating low risk.
Metadata: Suspicious activity around the git repository and maintainer history suggests potential risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

self._client = http_client or httpx.Client(timeout=timeout) def __enter__(self) -> "Adola":
self._client = http_client or httpx.AsyncClient(timeout=timeout) async def __aenter__(self) -> "AsyncAd
t.test/", http_client=httpx.Client(transport=httpx.MockTransport(handler)), ) models =
it.test", http_client=httpx.Client(transport=httpx.MockTransport(handler)), ) response
it.test", http_client=httpx.Client(transport=httpx.MockTransport(handler)), ) assert c
est-key", http_client=httpx.Client(transport=httpx.MockTransport(lambda _: httpx.Response(500))

✓ 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 score 7.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
Single contributor with only 3 commit(s) — possibly throwaway account
All 3 commits happened within 24 hours

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Adola" 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 adola

Create a file compression utility named 'CompressMate' using the Adola Python SDK. This utility will allow users to compress multiple files into a single compressed archive, select from various compression algorithms supported by Adola, and retrieve detailed statistics about the compression process such as the size of the original files versus the compressed file.

Steps to follow:
1. Install the Adola SDK via pip.
2. Design a simple user interface that allows users to input the path of the files they wish to compress.
3. Implement a feature where users can choose between different compression algorithms provided by Adola.
4. After compression, display statistics including the total size of the original files, the size of the compressed file, and the percentage reduction in size.
5. Add functionality to save the compressed file in a specified location.
6. Include error handling to manage cases where files cannot be found or other issues arise during compression.
7. Optionally, implement a feature to decompress files using Adola's decompression capabilities.

Suggested Features:
- Support for batch processing of multiple files.
- A graphical user interface (GUI) built with Tkinter or similar.
- Logging of compression/decompression operations for auditing purposes.
- Option to specify output directory for the compressed/decompressed files.
- Detailed status messages and progress bars during compression/decompression processes.