🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across various categories with no direct evidence of malicious intent. However, slight concerns remain regarding the maintainer's history and package activity.

Low risk scores across network, shell, obfuscation, credential, and metadata categories.
Maintainer history suggests potential inactivity or low effort, raising minor suspicion.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
Obfuscation: The observed patterns are likely related to encryption operations and do not necessarily indicate malicious activity.
Credentials: No clear signs of credential harvesting or secret theft were detected.
Metadata: Low risk due to lack of suspicious activities, but concerns about maintainer history suggest low effort and potential inactivity.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

aes_gcm_decrypt(aes_key, iv, base64.b64decode(encrypted_data)) return DecryptionResponse(decrypted_dat
empty") xored = xor_bytes(base64.b64decode(sender_nonce), base64.b64decode(requester_nonce)) if len
se64.b64decode(sender_nonce), base64.b64decode(requester_nonce)) if len(xored) < 20: raise Valu
_key) d = int.from_bytes(base64.b64decode(b64_private_key), 'big') # 88 base64 chars = 65 raw byt
, py = unmarshal_uncompressed(base64.b64decode(b64_public_key)) else: px, py = parse_x509_publi
t: bytes) -> bytes: ikm = base64.b64decode(shared_secret) return HKDF(algorithm=SHA256(), length=32

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository eka-care/abdm-ecdh appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with abdm-ecdh

Create a mini-application that facilitates secure health data exchange between healthcare providers and patients using the 'abdm-ecdh' Python package. This application will serve as a simple yet robust tool for encrypting and decrypting sensitive health information, ensuring patient privacy and compliance with security standards. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Begin by setting up your Python environment. Install the necessary packages including 'abdm-ecdh'. Ensure you have a basic understanding of Elliptic Curve Diffie-Hellman (ECDH) encryption.

2. **Application Design**: Design the application to include user authentication for both healthcare providers and patients. Each user should have their own public and private keys generated upon registration.

3. **Encryption Module**: Implement an encryption module that uses the 'abdm-ecdh' package to encrypt health data. This module should take in plain text data and the recipient's public key, then return the encrypted data.

4. **Decryption Module**: Similarly, implement a decryption module that takes in encrypted data and the sender's public key to decrypt the message using the user's private key.

5. **User Interface**: Develop a simple command-line interface (CLI) or a web-based UI where users can log in, view their encrypted messages, send new encrypted messages, and receive decrypted messages.

6. **Testing**: Thoroughly test the application to ensure that encryption and decryption work correctly and securely. Pay special attention to edge cases and error handling.

7. **Documentation**: Write clear documentation explaining how to use the application, including setup instructions, usage examples, and troubleshooting tips.

**Suggested Features**:
- User-friendly interface for easy interaction.
- Logging of all activities for auditing purposes.
- Option to send notifications when new messages are received.
- Support for multiple encryption algorithms within 'abdm-ecdh'.
- Integration with existing healthcare systems through APIs.