antispam-link-shorteners

v0.1.0 suspicious
4.0
Medium Risk

A fast, cached Python library to detect and block spam URL shortener domains.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network calls, shell execution, and obfuscation, but its metadata suggests it might be poorly maintained, raising some concerns about its reliability and potential for future issues.

  • Metadata risk due to signs of being new and potentially not well maintained.
  • Low risk in other categories.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external services.
  • Shell: No shell execution detected, reducing the risk of executing unauthorized commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being new and potentially not well maintained, raising suspicion.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1805 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 24 commits in brandonzorn/link-shorteners
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

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 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 antispam-link-shorteners
Create a web-based content moderation tool using Flask, a lightweight WSGI web application framework in Python. This tool will help users check if links they post contain any spam URL shortener domains, which could potentially harm their website's reputation or redirect users to malicious sites. Utilize the 'antispam-link-shorteners' package to identify such domains and provide real-time feedback to users about the safety of the links they input.

Step-by-Step Guide:
1. Set up a Flask environment and install necessary packages including 'antispam-link-shorteners'.
2. Design a simple HTML form where users can paste URLs they want to verify.
3. Implement a backend function that takes the URL from the form, uses 'antispam-link-shorteners' to check if it contains any known spam domains, and returns a result indicating whether the link is safe or not.
4. Display the verification result back to the user on the same page.
5. Add caching mechanisms provided by 'antispam-link-shorteners' to speed up repeated checks for common domains.
6. Optionally, allow users to report suspicious links directly through the tool, which could then be added to a database for future reference.
7. Ensure the tool has a clean, user-friendly interface and is responsive across different devices.

Features:
- Real-time verification of URL safety.
- Reporting mechanism for new potential spam domains.
- Caching to improve performance.
- User-friendly design.

How 'antispam-link-shorteners' is utilized:
- The package's core functionality is leveraged to scan submitted URLs against a database of known spam domains.
- Its caching feature helps in reducing the load time for frequently checked domains, enhancing the overall user experience.
- Users benefit from immediate feedback on the safety of the links they plan to share, thereby protecting both themselves and others from potential threats.

💬 Discussion Feed

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