ask-just

v0.1.9 suspicious
6.0
Medium Risk

Thin CLI for the hosted Ask Just source plane

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate risk level with significant concerns around shell execution and repeated credential prompts, suggesting potential misuse or security vulnerabilities.

  • High shell risk due to subprocess execution
  • Repeated credential prompts indicating potential misuse
Per-check LLM notes
  • Network: The network calls could be legitimate if the package is designed to fetch data from external sources.
  • Shell: Subprocess execution can be risky as it may lead to arbitrary code execution, especially if user input is involved.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: The use of getpass for token input suggests secure handling of credentials, but the repeated prompting for a 'bearer token' could indicate potential misuse if not clearly documented as necessary for the package's functionality.
  • Metadata: The package shows low effort and could be suspicious due to the lack of maintainer information and GitHub repository.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 55 test file(s) found

  • 55 test file(s) detected (e.g. test_answer_calculations.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (52802 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 15 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • s(url): try: with urllib.request.urlopen(url, timeout=15) as response: return Tru
  • encode("utf-8") request = urllib.request.Request(url, data=data, headers=headers, method=method)
  • method) try: with urllib.request.urlopen(request, timeout=60) as response: return
  • def get_json(path): with urllib.request.urlopen(f"{TEST_URL}{path}", timeout=10) as response:
  • path, payload): request = urllib.request.Request( f"{TEST_URL}{path}", data=json.dump
  • , ) try: with urllib.request.urlopen(request, timeout=10) as response: return
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • "ask-just"]) result = subprocess.run(command, text=True, capture_output=True, check=False)
  • try: result = subprocess.run( [ sys.executabl
  • ) result = subprocess.run( ["python3", str(HOOK)], inp
  • payload} result = subprocess.run( ["python3", str(HOOK)], inp
  • valid(self): result = subprocess.run( ["bash", "-n", str(HELPER)], text=T
  • ) pin = subprocess.run( ["bash", str(HELPER), "pin", str(candidate)
⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • prompt_token: token = getpass.getpass("Ask Just bearer token, blank for none: ").strip() i
  • pt_token: token = getpass.getpass("Ask Just bearer token: ").strip() else:
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 ask-just 
Create a Python-based command-line tool named 'JustQuery' that leverages the 'ask-just' package to interact with the Ask Just source plane. This tool should allow users to perform various operations such as querying data, adding new entries, updating existing ones, and deleting entries from the source plane. Additionally, implement a feature that allows users to save their queries and configurations locally for future use without needing to re-enter them each time. Ensure that the application is user-friendly, with clear instructions on how to use it and what each command does. Here are the specific requirements:

1. Implement a 'query' function that takes parameters for filtering and retrieves data from the source plane based on these parameters.
2. Add a 'create' function to add new entries to the source plane.
3. Include an 'update' function that allows users to modify existing entries based on specific criteria.
4. Provide a 'delete' function that removes entries from the source plane according to given identifiers.
5. Develop a local configuration system where users can save their API keys, default filters, and other settings in a secure manner.
6. Ensure all functions are well-documented with examples and descriptions of expected inputs and outputs.
7. Integrate error handling to gracefully manage issues like invalid input or network errors when interacting with the source plane.
8. Finally, include a help command that provides a summary of available commands and options.

Utilize the 'ask-just' package to handle the communication between your application and the source plane. Make sure to explore its documentation to understand how to best integrate its functionalities into 'JustQuery'.

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