AI Analysis
The package shows signs of obfuscation and credential harvesting risks, which could be indicative of malicious intent, especially given its shell execution capabilities that can lead to privilege escalation.
- Use of base64 decoding without proper error handling, suggesting potential for hiding malicious code or data.
- Direct use of getpass.getpass for user input collection, which might be used to harvest sensitive information.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: Detection of shell execution suggests potential for privilege escalation and software installation, which may indicate unexpected behavior unless documented purposes include system administration tasks.
- Obfuscation: The use of base64 decoding without proper error handling suggests potential for hiding malicious code or data.
- Credentials: Direct use of getpass.getpass and lack of context suggest potential for harvesting user input, possibly including sensitive information like passwords.
- Metadata: The maintainer has only one package, indicating a potentially new or less active account, but no other red flags are present.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (5252 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
lue): try: return base64.b64decode(value.encode("ascii")).decode("utf-8") except Exception:
Found 6 shell execution pattern(s)
"sh", "-c", cmd] result = subprocess.run(full_cmd, input=f"{password}\n", capture_output=True, text=Text=prompt_text) result = subprocess.run(["sudo", "-S", "-k", "-v"], input=f"{password}\n", capture_o= get_python_executable() subprocess.run([python_cmd, "-m", "pip", "install", "--upgrade", "pyre-tooluse_color=True) process = subprocess.Popen( [python_cmd, "-m", "pyre", script_path], stif capture: return subprocess.run(cmd, shell=shell, capture_output=True, text=True, errors="reerrors="replace") return subprocess.run(cmd, shell=shell) def input_nonempty(prompt, max_attempts=
Found 2 credential access pattern(s)
mpt): try: return getpass.getpass(prompt) except UnicodeEncodeError: safe_print(prrompt, end="") return getpass.getpass("") def sudo_run(cmd, password=None): """Run sudo comm
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "Dawalishi" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a cross-platform system monitoring tool named 'AutoGuard' that leverages the 'autostartd' package to ensure critical system processes start automatically on boot and continue running even if they crash. AutoGuard will support both Windows and Linux environments, using Windows Task Scheduler and Linux Supervisor respectively for process management. Step-by-Step Requirements: 1. Develop a user-friendly command-line interface (CLI) for AutoGuard that allows users to add, remove, and manage processes. 2. Implement functionality within AutoGuard to monitor specified processes for crashes or unresponsiveness. 3. Utilize the 'autostartd' package to configure these processes to restart automatically if they fail. 4. Ensure that AutoGuard itself starts up automatically when the system boots, using 'autostartd' for cross-platform compatibility. 5. Include logging capabilities to record process status changes and system events for troubleshooting purposes. 6. Provide a feature to set custom intervals for health checks of the monitored processes. 7. Integrate a notification system (e.g., email alerts) to inform administrators about critical issues related to the monitored processes. Suggested Features: - Support for multiple processes per user account. - Ability to specify startup dependencies between processes. - Detailed logs with timestamps and error messages. - Customizable alert thresholds for process downtime. - Option to configure process priority levels. How 'autostartd' is Utilized: - For each process managed by AutoGuard, use 'autostartd' to create appropriate entries in the Windows Task Scheduler or Linux Supervisor based on the operating system. - Leverage 'autostartd' to ensure that AutoGuard itself is configured to run at startup, maintaining cross-platform consistency. - Use 'autostartd' functionalities to manage the lifecycle of the processes, including their automatic restarts upon failure. Your task is to design and implement AutoGuard as a fully-functional mini-app that not only showcases the capabilities of the 'autostartd' package but also provides practical value for system administrators managing critical processes across different platforms.
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