abnf-rust

v2.5.0 safe
4.0
Medium Risk

Rust-backed parser engine for the abnf package.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious intent or risky behaviors. The metadata risk is slightly elevated due to the limited maintainer history and incomplete author profile, but this alone does not conclusively indicate a supply-chain attack.

  • No network or shell risks detected.
  • Metadata risk noted due to incomplete maintainer information.
Per-check LLM notes
  • Network: No network calls detected, which is typical for a parser library.
  • Shell: No shell execution detected, aligning with the expected behavior of a parser library.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is new with limited maintainer history and an incomplete author profile, raising some suspicion but not conclusive evidence of malice.

🔬 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: declaresub.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository declaresub/abnf appears legitimate

⚠ 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 abnf-rust 
Create a fully-functional mini-app named 'ABNF Validator' that leverages the 'abnf-rust' Python package. This app will serve as a tool for validating ABNF (Augmented Backus-Naur Form) grammars against given input strings. ABNF is widely used in network protocols such as HTTP, SMTP, and others to define syntax rules for data exchange formats.

### Objective:
- Develop a command-line interface (CLI) application where users can input an ABNF grammar and test it against various strings to see if they conform to the defined rules.
- Ensure the application supports loading predefined ABNF grammars from files.
- Provide functionality to save user-defined grammars to files for future use.
- Implement a feature to visualize the parsing process of the ABNF grammar.

### Core Features:
1. **Grammar Input**: Users should be able to enter an ABNF grammar directly into the CLI or load one from a file.
2. **String Validation**: After defining or loading a grammar, users should be able to input strings to validate them against the specified ABNF rules.
3. **Saving Grammars**: Allow users to save their custom grammars to disk so they can be reused later.
4. **Visualization**: Integrate a simple visualization component that shows how the ABNF parser processes the input string, highlighting matching parts and any errors encountered during validation.
5. **Error Handling**: Implement robust error handling to provide meaningful feedback when the input grammar is invalid or when a string does not match the grammar.
6. **Help Documentation**: Include comprehensive help documentation accessible via the CLI that explains commands, options, and examples of valid ABNF grammars.

### Utilizing 'abnf-rust':
- Use the 'abnf-rust' package to parse and validate ABNF grammars and strings. This involves leveraging its capabilities to define grammars, compile them into parsers, and then using these parsers to validate input strings.
- Explore the package's documentation and examples to understand how to integrate its parser engine into your application effectively.
- Consider extending the functionality of 'abnf-rust' if necessary to better suit your application's needs, such as adding custom error messages or enhancing the visualization of the parsing process.