🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has potential security concerns due to shell execution and obfuscation techniques, despite no direct evidence of malicious intent. The high metadata risk score due to the lack of maintainer history adds to the suspicion.

Shell risk (3/10)
Obfuscation risk (3/10)
High metadata risk (7/10)

Per-check LLM notes

Network: No network calls detected, which is normal unless the service requires network communication.
Shell: Shell execution might be used for internal package operations, but further investigation is needed to confirm its legitimacy and purpose.
Obfuscation: The use of base64 decoding might indicate an attempt at obfuscation, but it is also commonly used for legitimate purposes such as handling encrypted data in crypto libraries.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The package shows signs of being newly created and lacks maintainer history, raising suspicion.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

encrypted_data = base64.b64decode(encoded_ciphertext) if len(encrypted_data) < 16:

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

_lib_dir result = subprocess.run( ["python3", "-c", "import ENCRYPTION_SERVIC
_lib_dir result = subprocess.run( ["python3", "-W", "all", "-c", "import ENCR

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: null.net>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ 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 ENCRYPTION-SERVICE

Create a simple file encryption and decryption tool using the 'ENCRYPTION-SERVICE' Python package. This tool will allow users to encrypt any text file into an encrypted binary file and then decrypt it back to its original form. The application should have a user-friendly interface where users can select files to encrypt or decrypt, specify a password for encryption, and save the output files to their desired location. Here are the steps and features your application should include:

1. **User Interface**: Design a basic GUI using a library such as Tkinter that allows users to interact with the application easily.
2. **File Selection**: Implement functionality to allow users to browse and select files for encryption or decryption.
3. **Password Input**: Create a secure way for users to input a password which will be used as the key for encryption and decryption.
4. **Encryption Process**: Utilize the 'ENCRYPTION-SERVICE' package to encrypt the selected file using AES-256-CTR with a deterministic IV generation method. Ensure that the encryption process is seamless and secure.
5. **Decryption Process**: Similarly, implement a feature to decrypt the encrypted file back to its original format using the same password/key provided during encryption.
6. **Output Handling**: Provide options for users to choose where they want to save the encrypted or decrypted files.
7. **Error Handling**: Add error handling mechanisms to manage scenarios such as incorrect passwords, missing files, etc.
8. **Logging**: Include logging capabilities to record actions performed within the application for troubleshooting purposes.

The 'ENCRYPTION-SERVICE' package plays a crucial role in ensuring the security of data through its robust encryption methods. It simplifies the implementation of AES-256-CTR encryption and decryption processes, making it ideal for applications requiring strong data protection measures.