🤖 AI Analysis

Final verdict: SAFE

The package SomeDL v1.5.0 appears to be safe for use, with low risks associated with obfuscation, credential harvesting, and metadata concerns.

Low obfuscation risk
No evidence of credential harvesting
Incomplete author details

Per-check LLM notes

Obfuscation: Base64 decoding is commonly used for data serialization and may not indicate malicious activity.
Credentials: No patterns indicative of credential harvesting were found.
Metadata: The author's details are incomplete, and they appear to be new or inactive, which raises some concern but not enough to suggest high risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

' try: response = requests.get(url, timeout=30).json() #print(json.dumps(response,
' try: response = requests.get(url, timeout=30).json() return response except r
tist} {song}' response = requests.get(url) if response: response = response.json()
r%20Tenner response = requests.get(url) if response: response = response.js
ong_api_path}' response = requests.get(url) if response: response = response.json()
t_api_path}' # response = requests.get(url, headers=genius_headers).json() # print(json.dumps(r

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

e: mock.content = base64.b64decode(data["body"]) mock.json.side_effect = Exception(

✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ChemistryGull/SomeDL appears legitimate

⚠ 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 SomeDL

Create a Python-based mini-application named 'SongFetcher' that leverages the 'SomeDL' package to download music tracks from YouTube. Your application should provide a user-friendly interface for specifying the song title or artist, and it should automatically fetch the correct track and download it along with its metadata such as artist name, album, release date, and genre. Here’s a step-by-step guide on how to develop this application:

1. **Setup Environment**: Begin by setting up your Python environment and installing the 'SomeDL' package via pip.
2. **Design the User Interface**: Design a simple command-line interface where users can input the song title or artist name they wish to download.
3. **Integrate 'SomeDL'**: Use 'SomeDL' to search for the specified song, ensuring that the metadata is fetched from various APIs without requiring any API tokens or logins.
4. **Download Mechanism**: Implement a feature within your application to automatically download the selected song from YouTube using the provided URL or search query.
5. **Metadata Handling**: Ensure that all metadata associated with the downloaded song is correctly saved in a structured format (e.g., JSON file) alongside the audio file.
6. **Optional Features**: Consider adding optional features such as batch downloading of multiple songs, saving downloads to a specific directory, or even offering a choice between high-quality and standard quality downloads.
7. **Testing and Validation**: Test the application thoroughly to ensure that it works seamlessly across different scenarios, including handling incorrect inputs gracefully.
8. **Documentation**: Provide clear documentation on how to install and use the application, including any dependencies and usage examples.

Your goal is to create a robust, user-friendly tool that simplifies the process of downloading and organizing music tracks directly from YouTube.