AI Analysis
The package appears safe based on the provided analysis notes. It does not engage in network calls, shell executions, or obfuscation techniques that could be indicative of malicious behavior. The metadata risk is slightly elevated due to the author's limited presence on PyPI.
- No network calls
- No shell executions
- No obfuscation or credential harvesting
- Author has only one package on PyPI
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
- Shell: No shell executions detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package on PyPI, which may indicate a new or less active maintainer, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1771 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
3 unique contributor(s) across 100 commits in ClarkFieseln/AS4PGCSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository ClarkFieseln/AS4PGC appears legitimate
1 maintainer concern(s) found
Author "Clark Fieseln" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a Python-based command-line utility called 'AudioHide' that leverages the 'as4pgc' package to facilitate the process of hiding sensitive files within audio files. This tool should provide users with an easy-to-use interface to perform the following operations: 1. **Compressing and Encrypting Files**: Before embedding any secret file into an audio file, the utility should first compress and optionally encrypt the file using AES-256 encryption. 2. **Embedding Secret Files into Audio**: Once the file is compressed and encrypted, the utility should seamlessly embed it into an audio file (supported formats include MP3, WAV, OGG, FLAC, OPUS). 3. **Extracting Secret Files from Audio**: The utility should also allow users to extract the hidden files from the audio file back into its original format. 4. **Optional Feature - Watermarking**: As an advanced feature, users could choose to add a watermark to the embedded file to ensure authenticity when extracting it. The utility should accept command-line arguments for specifying input/output files, the audio file where the data will be hidden, and optional parameters such as encryption keys and compression levels. Additionally, implement error handling to manage scenarios such as unsupported file types or failed extraction attempts. Utilize the 'as4pgc' package to handle the compression, encryption, and embedding processes, ensuring that the user experience is seamless and secure.
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