AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate to high risks due to its capability to execute shell commands and download content from external sources, which could indicate potential for unauthorized actions. Additionally, the package's metadata raises concerns about its legitimacy and maintenance status.
- High shell risk indicating potential for arbitrary code execution
- Potential unauthorized data transfer through network activity
Per-check LLM notes
- Network: The observed network pattern suggests the package may download files from external URLs, which could be benign but also indicates potential for unauthorized data transfer.
- Shell: Executing shell commands can be high risk as it allows for arbitrary code execution, suggesting potential for malicious activities such as installing backdoors or executing harmful scripts.
- Metadata: The package shows signs of potential low activity and lack of maintainer information, raising concerns about its legitimacy.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
lity}.jpg" response = requests.get(url) if response.status_code == 200: ima
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
malized_format) result = subprocess.run(command, capture_output=True, text=True) if result.retur
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: fuck.it>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 SgithiDownloader
Create a user-friendly desktop application called 'MediaGrabber' using Python that leverages the functionalities of the 'SgithiDownloader' package. This application should allow users to easily download YouTube videos and audio files, complete with embedded thumbnails, directly from their web browsers. The application should have a simple graphical user interface (GUI) that makes it easy for users to input a YouTube video URL, select the desired format (video or audio), and start the download process. Additionally, MediaGrabber should include the following features: 1. **Thumbnail Preview**: Display the thumbnail image of the YouTube video before downloading. 2. **Download Progress Bar**: Show the progress of the download in real-time. 3. **Format Selection**: Allow users to choose between downloading the video in MP4 format or just the audio in MP3 format. 4. **Batch Downloading**: Enable users to enter multiple URLs at once for batch downloads. 5. **Custom Output Directory**: Users should be able to specify where downloaded files will be saved. 6. **Error Handling**: Gracefully handle errors such as invalid URLs or network issues, providing clear feedback to the user. 7. **Logging**: Maintain a log of all downloads including date, time, file name, and status. 8. **Settings Menu**: Include options for customizing the applicationβs behavior, such as enabling/disabling logging or setting default output directories. To achieve these goals, you will need to integrate 'SgithiDownloader' into your application. Use its core functionalities to handle the downloading process, ensuring that the application is both efficient and user-friendly. Remember to adhere to best practices for GUI development in Python, possibly using frameworks like Tkinter or PyQt, and ensure that the final product is well-documented and easy to install.