AI Analysis
Final verdict: SUSPICIOUS
The package shows some signs of potential misuse due to its shell execution capabilities and the maintainer's limited presence in the ecosystem.
- Use of subprocess.run indicating shell execution capability
- Single-package maintainer with no associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal for many packages.
- Shell: The use of subprocess.run indicates shell execution capability, which could be legitimate but requires further investigation into the package's intended functionality.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The maintainer has only one package and no associated GitHub repository, which may indicate a less experienced or potentially suspicious maintainer.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 6.0
Found 3 shell execution pattern(s)
ode try: result = subprocess.run(args, stdout=subprocess.PIPEver debug_out(f"**** subprocess.run({mask_token(args)}) returned non-zero exit code {ex.returncover print_out(f"**** subprocess.run({mask_token(args)}) raised exception {ex}") return 1
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AndiEcker" 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 ae-shell
Create a mini-application named 'ShellCommander' that serves as a command-line interface tool for managing and executing shell commands more efficiently using the Python package 'ae-shell'. This application will allow users to define, save, and execute common shell commands from a predefined set of options, as well as provide an interactive mode where users can input custom commands on-the-fly. Key Features: 1. Command Definition: Users should be able to define a set of common shell commands within the application. Each command should have a name, a description, and the actual shell command string. 2. Command Execution: Once defined, these commands should be executable directly from the application's CLI. Users should also have the ability to pass parameters to these commands if necessary. 3. Interactive Mode: The application should support an interactive mode where users can input custom shell commands at runtime. These commands should be executed immediately after input. 4. Error Handling: Proper error handling must be implemented to manage any issues arising from incorrect command inputs or execution failures. 5. Help Documentation: A help menu should be available to guide users through the different functionalities of the application. Utilizing 'ae-shell': - Use 'ae-shell' for executing the shell commands within your application. It provides utilities to handle shell environments and command executions which can be leveraged to ensure that commands are run in a secure and controlled manner. - Explore the documentation of 'ae-shell' to understand how it can be integrated into your application for better management of shell environments and command executions.