AI Analysis
Final verdict: SUSPICIOUS
The package shows moderate risks, particularly concerning shell execution and direct API key handling, which could be exploited for malicious activities.
- High shell risk due to potential misuse of shell=True
- Moderate credential risk from direct API key request
Per-check LLM notes
- Network: Network calls seem to be for authentication and API usage, which is common for SDKs but should be reviewed for legitimacy.
- Shell: Shell executions may indicate the package performs system checks or tool management, but running commands via shell=True poses a high risk of misuse.
- Obfuscation: The obfuscation pattern is not typical of secure coding practices but may be used for benign purposes such as avoiding code readability for non-users.
- Credentials: Directly requesting an API key via getpass indicates potential risk for credential harvesting unless explicitly stated for legitimate purposes like configuration or initialization.
- Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags were identified.
Heuristic Checks
Outbound Network Calls
score 6.0
Found 4 network call pattern(s)
) response = httpx.get( PYPI_URL, timeout=5.0, )""" try: with httpx.Client(timeout=NETWORK_TIMEOUT) as client: response = cauth needed) with httpx.Client(timeout=60.0) as http_client: response = httpler auth) response = httpx.get( "https://api.affinity.co/auth/whoami",
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
' else: script = "eval (env _XAFFINITY_COMPLETE=fish_source xaffinity)\n" if ct
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
.0 try: result = subprocess.run( cmd, shell=True, capturtry: result = subprocess.run( ["pipx", "list", "--short"],try: result = subprocess.run( ["uv", "tool", "list"], capCESS = 0x00000008 subprocess.Popen( cmd, stdout=subprocess.DEVNach from terminal subprocess.Popen( cmd, stdout=subprocess.DEVNstdout as the API key. ``shell=True`` is intentional and matches established conventions in
Credential Harvesting
score 2.5
Found 1 credential access pattern(s)
pe)[/dim]") api_key = getpass.getpass(prompt="API Key: " if human_output else "").strip()
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository yaniv-golan/affinity-sdk appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Yaniv Golan" 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 affinity-sdk
Your task is to create a command-line tool using Python that integrates with the Affinity CRM system through the 'affinity-sdk' package. This tool will allow users to manage their contacts more efficiently by providing a suite of operations on contact data. Hereβs a detailed breakdown of what your tool should do and how it should work: 1. **Setup**: Begin by installing the 'affinity-sdk' package via pip. Ensure you have access to your Affinity API credentials. 2. **Authentication**: Implement a secure method to authenticate with the Affinity API using your credentials. This could involve storing the credentials securely or prompting the user for them each time the tool is run. 3. **Main Menu**: Design a main menu with options such as adding new contacts, updating existing contacts, deleting contacts, listing all contacts, searching for specific contacts, and exiting the program. 4. **Adding Contacts**: Allow users to add new contacts by specifying required fields like name, email, and phone number. Validate these inputs before sending them to the Affinity API. 5. **Updating Contacts**: Provide functionality to update existing contacts based on unique identifiers (e.g., email). Users should be able to modify any field of the contact. 6. **Deleting Contacts**: Enable users to delete contacts by providing the identifier of the contact they wish to remove. 7. **Listing Contacts**: Display all contacts in a readable format, possibly paginated if there are many contacts. 8. **Searching Contacts**: Implement a search feature where users can find contacts based on partial names or other fields. 9. **Error Handling**: Make sure to handle errors gracefully, informing the user about issues like invalid inputs, network problems, or API rate limits. 10. **Logging**: Optionally, implement logging to record actions taken by the tool, which could be useful for debugging or auditing purposes. Each feature should utilize the 'affinity-sdk' package effectively to interact with the Affinity CRM system. Your goal is to create a robust, user-friendly tool that showcases the capabilities of the 'affinity-sdk' package.