🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks due to the use of shell=True and potential code obfuscation techniques, which may indicate attempts to hide malicious activities or introduce vulnerabilities.

High shell risk due to use of shell=True
Significant obfuscation risk through pickling and hex-encoded strings

Per-check LLM notes

Network: No network calls detected, which is normal unless the package is expected to communicate with external services.
Shell: The use of shell=True can be risky as it allows for arbitrary command execution, potentially leading to security vulnerabilities.
Obfuscation: The use of pickling and hex-encoded strings suggests potential obfuscation to hide code logic or evade detection.
Credentials: No clear evidence of credential harvesting, but the presence of pickling could be a concern if it's used to store sensitive information.
Metadata: The maintainer has a new or inactive account and lacks PyPI classifiers, indicating potential low effort or metadata quality issues.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

sion = 0x2601, _types = b'\x00\x00\x76\x0D\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x79\x0D\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x1C\x0D\x00\x00\x8D\x03\x00\x00\x00\x0F\x00\x00\x7B\x0D\x00\x00\x00\x0F\x00\x00\x80\x0D\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x88\x0D\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x88\x0D\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x01\x01\x00\x00\x00\x0F\x00\x00\x88\x0D\x00\x00\x00\x0F\x00\x00\x21\x0D\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x0B\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x82\x03\x00\x00\x1F\x11\x00\x00\x0E\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x0A\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x07\x03\x00\x00\x1F\x11\x00\x00\x1F\x11\x00\x00\x0E\x01\x00\x00\x0A\x01\x00\x00\x0A\x01\x00\x00\x52\x03\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x2E\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x0A\x01\x00\x00\x0E\x01\x00\x00\x0A\x01\x00\x00\x34\x11\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x07\x11\x00\x00\x07\x11\x00\x00\x0A\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x07\x11\x00\x00\x8D\x03\x00\x00\x0A\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x07\x11\x00\x00\x6B\x03\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x4B\x11\x00\x00\x07\x11\x00\x00\x0A\x01\x00\x00\x7F\x03\x00\x00\x0A\x01\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x00\x0F\x00\x00\x69\x0D\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x8D\x0D\x00\x00\x7D\x03\x00\x00\x8B\x03\x00\x00\x0A\x01\x00\x00\x00\x0F\x00\x00\x8D\x0D\x00\x00\x60\x11\x00\x00\x0A\x01\x00\x00\x00\x0F\x00\x00\x8D\x0D\x00\x00\x09\x01\x00\x00\x00\x0F\x00\x00\x8D\x0D\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x8D\x0D\x00\x00\x07\x11\x00\x00\x09\x01\x00\x00\x07\x11\x00\x00\x09\x01\x00\x00\x07\x11\x00\x00\x00\x0F\x00\x00\x01\x09\x00\x00\x77\x03\x00\x00\x02\x09\x00\x00\x00\x0B\x00\x00\x7A\x03\x00\x00\x03\x09\x00\x00\x7C\x03\x00\x00\x04\x09\x00\x00\x00\x09\x00\x00\x02\x0B\x00\x00\x05\x09\x00\x00\x81\x03\x00\x00\x06\x09\x00\x00\x07\x09\x00\x00\x03\x0B\x00\x00\x04\x0B\x00\x00\x08\x09\x00\x00\x05\x0B\x00\x00\x06\x0B\x00\x00\x89\x03\x00\x00\x02\x01\x00\x00\x01\x03\x00\x00\x15\x01\x00\x00\x6E\x03\x00\x00\x00\x01', _globals = (b'\x00\x00\x11\x23PaMacCore_GetChannelNam
ICKLED: res = pickle.loads(res) if is_exception: raise res
ss from exc retval = pickle.loads(pickled_response) if status == b"EXCEPTION":

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

s=1) as executor, subprocess.Popen( # noqa: S603 cmd, cwd=cwd, encoding='utf-8
lse: try: subprocess.run(cmd, capture_output=True, check=True, cwd=cwd, env=env) # n
tderr=stderr, shell=True, **kwargs, ) else:

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Arnab" 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 VoiceAgentArnab

Create a fully-functional voice-controlled task manager application using the 'VoiceAgentArnab' Python package. This application will allow users to manage their daily tasks through voice commands. The core functionalities of the app include adding new tasks, marking tasks as completed, listing all pending tasks, and clearing completed tasks from the list. Additionally, the application should have a feature to save and load task lists from a file, ensuring that the user's data persists across sessions.

The 'VoiceAgentArnab' package is essential for enabling real-time voice interaction. It provides the necessary components for voice command recognition and STM (Short-Term Memory) handling, which will be used to maintain the context of ongoing conversations and remember recent user inputs without needing to repeatedly ask for them.

Here's a step-by-step guide on how to develop this application:
1. Set up your development environment with Python installed and the 'VoiceAgentArnab' package.
2. Initialize the voice agent using 'VoiceAgentArnab' to start listening for voice commands.
3. Implement functions to handle different voice commands such as 'add', 'complete', 'list', and 'clear'. These functions will interact with a task list stored in memory.
4. Integrate STM capabilities provided by 'VoiceAgentArnab' to enhance user experience by remembering recent tasks and reducing repetitive questioning.
5. Add functionality to save the current task list to a file when the user requests it and to load the last saved task list at the start of each session.
6. Test the application thoroughly to ensure that all voice commands are recognized accurately and that the task management features work as expected.
7. Optionally, add additional features like setting reminders for specific tasks or integrating with calendar applications.
8. Document the code and provide clear instructions on how to run the application.

This project aims to demonstrate the practical use of voice-controlled interfaces for everyday productivity tools, leveraging the advanced voice recognition and memory capabilities offered by 'VoiceAgentArnab'.