🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate level of risk due to its potential for transmitting sensitive information via network calls and the low activity from its maintainer.

Network risk due to potential transmission of sensitive data
Low activity and community engagement from the maintainer

Per-check LLM notes

Network: The presence of network calls with authentication tokens suggests potential data transmission which may include sensitive information.
Shell: No shell execution patterns were detected.
Obfuscation: The observed pattern seems to be related to cryptographic operations rather than obfuscation for malicious purposes.
Credentials: No suspicious patterns indicative of credential harvesting were found.
Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

Bearer {token}" req = urllib.request.Request( url, data=data,
try: with urllib.request.urlopen(req, timeout=10) as resp: return jso
/" + hash_value req = urllib.request.Request( url, headers={
try: with urllib.request.urlopen(req, timeout=timeout) as resp: data

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

y) key.verify(base64.b64decode(sig_value), aggregate.encode()) except Exception

✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Hannes Hapke" 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 agent-signing

Create a mini-application named 'SecureAgentSetup' using the Python package 'agent-signing'. This application will serve as a secure setup tool for new agents in a distributed system, ensuring that each agent is properly authenticated and signed before it can communicate with other components of the system. Your task involves building a command-line interface (CLI) tool that allows administrators to securely sign and configure new agents. Here’s a detailed breakdown of what the application should accomplish:

1. **User Authentication**: Implement a simple user authentication mechanism where only authorized users can sign new agents. Use environment variables or a configuration file to store user credentials.
2. **Agent Configuration**: Allow users to specify details about the agent such as its name, IP address, and role within the system.
3. **Signing Process**: Utilize the 'agent-signing' package to sign the agent configuration. Ensure that the signature process includes a timestamp and a unique identifier to prevent replay attacks.
4. **Output Verification**: Provide an option to verify the signed agent configuration. This verification should be done using the same package to ensure integrity and authenticity.
5. **Logging**: Implement logging to track all signing and verification activities. Logs should include timestamps, user actions, and any errors encountered during the process.
6. **Help and Documentation**: Include comprehensive help documentation accessible via CLI options. This documentation should explain how to use the tool, including examples of valid input formats and common troubleshooting tips.
7. **Error Handling**: Ensure robust error handling to gracefully manage unexpected inputs or issues during the signing or verification processes.

Your goal is to create a secure and user-friendly tool that leverages the 'agent-signing' package to enhance the security of agent setups in a distributed system.