AI Analysis
Final verdict: SUSPICIOUS
The package has some concerning elements such as obfuscated public keys and limited metadata about the author, raising suspicion but not conclusive evidence of malicious intent.
- Obfuscation risk with base64 encoded strings
- Limited author metadata
Per-check LLM notes
- Network: No network calls suggest normal behavior for a parser tool.
- Shell: No shell execution suggests there is no immediate risk of command injection or backdoor.
- Obfuscation: The use of base64 encoded strings for what appear to be public keys suggests obfuscation rather than clear code practices, indicating potential risk.
- Credentials: No direct evidence of credential harvesting patterns detected.
- Metadata: The author's lack of information and having only one package may indicate a less experienced or potentially suspicious user.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 10.0
Found 6 obfuscation pattern(s)
.4 public_key_bytes = base64.b64decode( 'AQOeiiR0GOMYkDshWoSKz9Xz' 'fwJr1AY.3 public_key_bytes = base64.b64decode( 'AQPSKmynfzW4kyBv015MUG2DeIQ3' 'Cbl.1 public_key_bytes = base64.b64decode( 'AwEAAcFcGsaxxdgiuuGmCkVI' 'my4h99C.2 public_key_bytes = base64.b64decode( 'AwEAAdHoNTOW+et86KuJOWRD' 'p1pndvw.2 public_key_bytes = base64.b64decode( 'aRS/DcPWGQj2wVJydT8EcAVoC0kXn5pDVm2I'EQUEST_RANDOM_BYTES = ( b'\xcf\x21\xad\x74\xe5\x9a\x61\x11\xbe\x1d\x8c\x02\x1e\x65\xb8\x91' + b'\xc2\xa2\x11\x16\x7a\xbb\x8c\x5e\x07\x9e\x09\xe2\x
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 CryptoParser
Create a mini-application called 'CryptoAnalyzer' using the Python package 'CryptoParser'. This tool will serve as an educational and practical resource for understanding various cryptographic protocols. Your goal is to develop a user-friendly interface that allows users to input a specific protocol (e.g., TLS, SSH, IPsec), and the application will parse the protocol data according to the user's input, providing a detailed breakdown of the cryptographic components involved. Key Features: 1. Protocol Selection: Allow users to choose from a predefined list of common cryptographic protocols such as TLS, SSH, IPsec, etc. 2. Input Data Handling: Provide an option for users to input raw protocol data or upload a file containing protocol data. 3. Parsing and Analysis: Utilize the 'CryptoParser' package to analyze the input data and extract key information about the cryptographic protocols used. 4. Detailed Breakdown: Display a comprehensive breakdown of the cryptographic components including encryption algorithms, key exchange mechanisms, hash functions, and more. 5. Security Insights: Offer insights into potential vulnerabilities or best practices based on the parsed data. 6. User Interface: Develop a simple yet effective GUI using Tkinter or a similar library for easy interaction. 7. Documentation: Include clear documentation on how to use the tool and how it leverages the 'CryptoParser' package. Steps to Build the Application: 1. Install the necessary packages including 'CryptoParser', 'Tkinter', and any additional libraries required for handling files and displaying data. 2. Design the GUI layout using Tkinter, ensuring it is intuitive and user-friendly. 3. Implement the functionality to select and handle input data based on user choices. 4. Integrate 'CryptoParser' to parse and analyze the inputted protocol data, extracting relevant cryptographic details. 5. Develop the logic to display the parsed data in a structured format within the GUI. 6. Add additional features like saving the analysis results to a file and generating visual representations of the cryptographic components if possible. 7. Test the application thoroughly to ensure it works correctly with different types of input data and across various cryptographic protocols. 8. Document all steps, code snippets, and usage instructions clearly. This project aims to deepen the understanding of cryptographic protocols while showcasing the capabilities of the 'CryptoParser' package.