AI Analysis
Final verdict: SAFE
The package is considered safe with a moderate risk score due to minor metadata issues and potential obfuscation techniques. There are no significant indicators of malicious activity or supply-chain attacks.
- Minor metadata inconsistencies
- Potential use of obfuscation techniques
Per-check LLM notes
- Obfuscation: The code uses base64 decoding which can be used for obfuscation but is also common in legitimate scenarios like handling encoded data in cryptography libraries.
- Credentials: No suspicious patterns related to credential harvesting were detected.
- Metadata: The package has some minor red flags such as missing author information and no linked GitHub repository, but there are no clear signs of typosquatting or malicious intent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 8.0
Found 4 obfuscation pattern(s)
T').strip() yield base64.b64decode(raw, validate=True).decode('ascii') @classmethod deEXT' ) raw = base64.b64decode(fetcher(url), validate=True) if b'-----BEGIN' not ivalue = Base64Data(base64.b64decode(value)) except (ValueError, TypeError):.SHA1, b'abc'), b'\xA9\x99\x3E\x36\x47\x06\x81\x6A\xBA\x3E\x25\x71\x78\x50\xC2\x6C\x9C\xD0\xD8\x9D' ) class TestNameToEnumItemName(unittest.TestCase
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: pfeifferszilard.hu>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 CryptoDataHub
Create a fully-functional mini-application named 'CryptoDataExplorer' that leverages the 'CryptoDataHub' package to provide users with an interactive way to explore and analyze cryptographic data. The application should allow users to search for specific cryptographic algorithms, view their details, and perform basic analysis on available data. Here’s a step-by-step guide to building this application: 1. **Setup**: Install the necessary packages including 'CryptoDataHub'. Ensure your environment supports Python 3.8 or higher. 2. **User Interface**: Design a simple yet intuitive command-line interface (CLI) where users can interact with the application. Consider adding options like searching for algorithms, viewing algorithm details, and more. 3. **Search Functionality**: Implement a search feature that allows users to look up cryptographic algorithms by name or category. Utilize the 'CryptoDataHub' API to fetch relevant data from its repository. 4. **Display Details**: Once an algorithm is selected, display comprehensive details such as description, parameters, and any other relevant information provided by 'CryptoDataHub'. 5. **Analysis Tools**: Provide basic analysis tools. For example, users could compare two different cryptographic algorithms based on certain criteria (e.g., speed, security level). 6. **Saving Data**: Allow users to save the displayed information into a local file (JSON format) for further study or reference. 7. **Documentation**: Write clear documentation for the application, detailing how to install it, use its commands, and understand the output. Suggested Features: - Support for multiple cryptographic categories (symmetric, asymmetric, hashing, etc.). - Ability to filter results based on specific criteria. - Visualization of data (graphs showing comparisons between algorithms). - Integration with external databases or APIs for extended functionality. Utilization of 'CryptoDataHub': Throughout the development process, rely on 'CryptoDataHub' to provide accurate and up-to-date cryptographic data. This includes fetching algorithm descriptions, parameters, and any other relevant information needed to fulfill the application's objectives.