alephprover

v0.2.3 suspicious
6.0
Medium Risk

CLI tool for submitting Lean proof requests to the Aleph Prover API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to its potential for network-based attacks and execution of shell commands. While there are no clear signs of malicious intent, the lack of a discoverable repository and the maintainer's single package raise concerns about potential supply-chain risks.

  • network risk
  • shell command execution
  • untraceable repository
Per-check LLM notes
  • Network: The package makes network calls to an external API, which could potentially be used for data exfiltration or C2 communication.
  • Shell: The package executes shell commands that interact with the system environment and git repositories, which might indicate unauthorized access or manipulation of the system.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found, and the maintainer has only one package which raises suspicion.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2503 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

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • ion/zip")} response = httpx.post( f"{api_url}/api/v1/requests/upload",
  • try: response = httpx.get( f"{api_url}/api/v1/requests/{request_id}",
  • on failure.""" response = httpx.get( f"{api_url}/api/v1/requests/{request_id}/diff",
  • get_api_url() response = httpx.get( f"{api_url}/api/v1/requests/{request_id}",
  • ch"] = search response = httpx.get( f"{api_url}/api/v1/requests", headers={"Aut
  • , abort=True) response = httpx.post( f"{api_url}/api/v1/requests/{request_id}/cancel",
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • """ try: result = subprocess.run( ["lake", "env", "printenv", "LEAN_SRC_PATH"],
  • submodules) tracked = subprocess.run( ["git", "ls-files", "--cached", "--recurse-subm
  • oot only) untracked = subprocess.run( ["git", "ls-files", "--others", "--exclude-stan
  • bmodules submodules = subprocess.run( ["git", "submodule", "--quiet", "foreach", "ech
  • sm_untracked = subprocess.run( ["git", "ls-files", "--others", "--excl
  • e on success.""" result = subprocess.run( ["git", "apply", str(patch_path)], capture_
✓ 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 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Logical Intelligence" 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 alephprover 
Create a Python-based mini-application named 'LeanProofChecker' that integrates the 'alephprover' package to facilitate automated theorem proving using the Lean theorem prover through the Aleph Prover API. Your application should serve as a user-friendly interface for mathematicians and computer scientists to submit their formalized mathematical statements and receive automated proofs. Here are the steps and features your application should include:

1. **Setup**: Begin by installing the 'alephprover' package and any other necessary dependencies.
2. **User Interface**: Design a simple command-line interface (CLI) that allows users to input their mathematical statements in Lean syntax.
3. **Validation**: Implement a feature to validate the input statement before submission to ensure it adheres to Lean's syntax rules.
4. **Submission**: Use the 'alephprover' package to submit the validated statement to the Aleph Prover API.
5. **Result Handling**: Upon receiving the result from the API, your application should interpret and display it in a comprehensible format, indicating whether the statement was proven, disproven, or if the proof process resulted in an inconclusive state.
6. **Error Handling**: Include robust error handling mechanisms to manage potential issues such as invalid input, network errors during submission, and incorrect responses from the API.
7. **Additional Features**:
   - **History Log**: Maintain a history log of submitted statements and their outcomes for future reference.
   - **Help Documentation**: Provide a help section within the CLI that guides users on how to correctly format their input statements and understand the output.
   - **Customizable Settings**: Allow users to customize settings such as timeout durations for proof attempts and verbosity levels of the output messages.
8. **Testing**: Write comprehensive tests to verify the functionality of each component of your application, ensuring reliability and accuracy in theorem proving tasks.

By following these guidelines, you will develop a powerful yet accessible tool for exploring the capabilities of automated theorem proving with the support of the 'alephprover' package.

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