QuickStart-Rhy

v0.7.61 suspicious
8.0
High Risk

A Command Line Toolbox

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high risks associated with network and shell command usage, suggesting potential for unauthorized actions such as data exfiltration or system manipulation.

  • High network risk due to external URL calls
  • High shell risk due to network configuration commands
Per-check LLM notes
  • Network: The package makes network calls to external URLs which may be unexpected and could indicate data exfiltration or C2 communication.
  • Shell: Executing shell commands related to network configuration can be highly suspicious and might be used to manipulate system settings or exfiltrate sensitive information.
  • Obfuscation: The use of base64 decoding and dynamic evaluation suggests potential code obfuscation or execution of arbitrary code, which is risky.
  • Credentials: No clear patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer seems new and the package lacks detailed metadata, indicating low effort. However, there are no clear signs of malicious intent.

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • url = get_url() res = requests.post(f"{_url}/translate", json={ 'text': text,
  • while res := ( requests.post( self.url + "chatgpt/pro", j
  • ) post_stream = requests.post( self.url + "chatgpt/stream", json={
  • = ""): try: res = requests.get( "https://api.lolicon.app/setu/", he
  • bl=%s" % bucket res = requests.get( url, headers={ "Con
  • = pre_check("rmbg") res = requests.post( "https://api.remove.bg/v1.0/removebg", file
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • img = ImageDeal.base64.b64decode(img["image"]) with open(img_name, "wb") as f
  • nsole.print("%s = %s" % (exp, eval(exp))) except Exception as e: qs_default_console
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • OS X """ with os.popen("networksetup -listallhardwareports") as pipe: i
  • wifi """ with os.popen("networksetup -getairportnetwork %s" % self.iface[0]) as pip
  • ngth """ with os.popen( "/System/Library/PrivateFrameworks/Apple80211.f
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: gmail.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "'RhythmLian'" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with QuickStart-Rhy
Create a fully-functional mini-app called 'RhythmMaster' that leverages the 'QuickStart-Rhy' package to manage and generate rhythmic patterns and sequences. The app should allow users to input custom rhythmic patterns using a simple command line interface and then generate corresponding audio files based on these patterns. Here’s a detailed breakdown of the project steps and features:

1. **Project Setup**: Begin by installing the 'QuickStart-Rhy' package and setting up your development environment with Python.
2. **User Interface**: Design a user-friendly command-line interface where users can interact with the app. Users should be able to input rhythmic patterns using standard notation (e.g., quarter notes, eighth notes, etc.).
3. **Pattern Generation**: Implement functionality within the app that converts user-inputted rhythmic patterns into machine-readable formats that 'QuickStart-Rhy' can process.
4. **Audio Generation**: Use 'QuickStart-Rhy' to generate audio files from the processed rhythmic patterns. Ensure that users can choose the tempo and instrument sounds for their patterns.
5. **Save & Export**: Allow users to save their rhythmic patterns and generated audio files locally or export them to cloud storage services like Dropbox or Google Drive.
6. **Playback Feature**: Integrate a playback feature that allows users to listen to their generated audio files directly from the command line interface without needing to open external players.
7. **Help & Documentation**: Provide comprehensive documentation and a help section within the app that explains how to use all features effectively.
8. **Testing & Validation**: Conduct thorough testing to ensure the app works as intended across different scenarios and inputs.

By following these steps, you will create a versatile and user-friendly tool that makes it easy for musicians and hobbyists to experiment with rhythm and sound creation.