afwf_md5

v0.1.2 suspicious
4.0
Medium Risk

Alfred Workflow to generate random md5, sha256, sha512 hash and calculate file hashes.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to the lack of maintainer history and basic author details.

  • No network calls detected
  • Shell execution used for local operations
  • No obfuscation or credential harvesting patterns
  • Elevated metadata risk due to lack of maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Shell execution appears to be used for local operations like opening HTML files for coverage reports, which is typical for development and testing purposes.
  • Obfuscation: No obfuscation patterns detected, suggesting normal code readability and no hidden malicious code.
  • Credentials: No secret harvesting patterns detected, indicating that the package does not appear to be designed for stealing credentials.
  • Metadata: The package is new with no maintainer history and lacks basic author details, raising suspicion.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • _cwd(Path(root_dir)): subprocess.run(args) if preview: # pragma: no cover platform =
  • e NotImplementedError subprocess.run([open_command, f"{Path(htmlcov_dir).joinpath('index.html')}"
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: email.com>

✓ 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 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 afwf_md5 
Create a Python-based desktop application called 'HashMaster' which integrates the functionalities of the 'afwf_md5' package to provide users with a robust tool for generating and verifying various types of cryptographic hashes. The application should allow users to generate random MD5, SHA256, and SHA512 hashes as well as calculate hashes for files they select from their local system. Here’s a detailed breakdown of what the application should include:

1. **User Interface**: Design a simple yet intuitive GUI using a library such as PyQt or Tkinter. The interface should have sections for inputting text to generate hashes, selecting files to calculate their hashes, and displaying output.

2. **Random Hash Generation**: Implement functionality to generate random MD5, SHA256, and SHA512 hashes when requested by the user. This feature will use the 'afwf_md5' package to handle the generation process.

3. **File Hash Calculation**: Allow users to browse and select files from their local system to calculate their respective MD5, SHA256, and SHA512 hashes. Again, utilize the 'afwf_md5' package for computing these hashes.

4. **Hash Verification Tool**: Include a feature where users can input a hash and the original text/file to verify if the hash matches. This will help in validating data integrity.

5. **Clipboard Support**: Provide options to copy generated or calculated hashes directly to the clipboard for easy sharing or use in other applications.

6. **Help and About Sections**: Add sections within the application that provide brief explanations of what cryptographic hashes are, why they are important, and how to use each feature of the application effectively. Also, include a section that credits the 'afwf_md5' package and provides links to its documentation and source code.

The goal is to create a versatile and user-friendly application that not only leverages the 'afwf_md5' package but also educates users on the importance of cryptographic hashes in ensuring data security and integrity.