AI Analysis
The package shows some signs of potential risk, particularly due to the lack of detailed maintainer information and the use of base64 encoding which could be used for obfuscation purposes.
- Metadata risk due to new/inactive maintainer account
- Obfuscation risk from base64 encoding usage
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell executions detected, indicating no immediate risk of command execution.
- Obfuscation: The usage of base64 decoding is common for data serialization and may not indicate malicious intent.
- Credentials: No patterns indicative of credential harvesting were detected.
- Metadata: The maintainer has a new or inactive account and lacks a proper author name, which could indicate potential risk.
Package Quality Overall: Medium (5.8/10)
Test suite present β 5 test file(s) found
Test runner config found: pyproject.toml5 test file(s) detected (e.g. test_ap2_fixtures.py)
Some documentation present
Detailed PyPI description (11880 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
21 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 5 commits in chopmob-cloud/ap2-pq-conformanceTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
(s: str) -> bytes: return base64.b64decode(s) @dataclass class VerifyResult: """Per-scheme verifi
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository chopmob-cloud/ap2-pq-conformance appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a Python-based mini-application named 'CryptoAnchor' that leverages the 'algovoi-substrate-pqc' package to provide a user-friendly interface for generating and verifying cryptographic signatures using Post-Quantum Cryptography (PQC) algorithms. This application should serve as a demonstration of the package's capabilities and showcase its integration with different cryptographic schemes. Hereβs a detailed breakdown of the application's requirements: 1. **User Interface**: Design a simple command-line interface (CLI) that allows users to interact with the application easily. Users should be able to choose between different PQC signature algorithms supported by 'algovoi-substrate-pqc'. 2. **Signature Generation**: Implement functionality that enables users to generate digital signatures for any input message using the selected PQC algorithm. Ensure that the application outputs both the signature and the public key used for verification. 3. **Signature Verification**: Allow users to verify the integrity of a signed message by providing the original message, the signature, and the corresponding public key. The application should clearly indicate whether the verification was successful or not. 4. **Cross-Implementor Compatibility**: Demonstrate how 'algovoi-substrate-pqc' ensures compatibility across different implementors through its byte-anchor convergence proof feature. Include a feature that allows users to test this compatibility by importing keys from different sources and verifying their signatures. 5. **Documentation and Help**: Provide comprehensive documentation within the application, including help commands that explain each feature and how to use them effectively. The 'algovoi-substrate-pqc' package will be used primarily for managing the cryptographic operations such as key generation, signing messages, and verifying signatures. It provides an open-enum for various PQC algorithms, which your application should support. Additionally, utilize the package's byte-anchor convergence proof to ensure interoperability between different cryptographic implementations. This project aims to highlight the practical applications of post-quantum cryptography and the importance of standardization in cryptographic practices.
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