AI Analysis
The package exhibits multiple red flags including risky shell command execution and code obfuscation, which could potentially hide malicious activities. However, no direct evidence of credential harvesting was found.
- High shell risk due to potential for arbitrary code execution
- Significant obfuscation risk indicating possible attempts to conceal malicious behavior
Per-check LLM notes
- Network: The network pattern indicates the package may be sending emails, which is not inherently suspicious but should be verified against the package's intended functionality.
- Shell: Executing commands via shell=True is risky and could indicate potential for executing arbitrary code, suggesting higher risk unless explicitly justified by package documentation.
- Obfuscation: The code exhibits signs of obfuscation which could be used to hide malicious intent, such as the use of eval and unusual path extension techniques.
- Credentials: No clear patterns indicative of credential harvesting were found in the provided snippets.
- Metadata: The maintainer has only one package, suggesting a new or less active account, which could be suspicious but not conclusive.
Package Quality Overall: Medium (6.2/10)
Test suite present — 4 test file(s) found
4 test file(s) detected (e.g. test_postgres.py)
Some documentation present
Brief PyPI description (371 chars)
No contributing guide or governance files found
Separate author ("Ernesto Arredondo Martinez") and maintainer ("Port de Barcelona") listed
Partial type annotation coverage
7 type-annotated function signatures (partial)
Active multi-contributor project
3 unique contributor(s) across 100 commits in portdebarcelona/PLANOL-generic_python_packagesSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 1 network call pattern(s)
codi = 0 srv = smtplib.SMTP(server) srv.ehlo() if tls: try:
Found 3 obfuscation pattern(s)
: if type(eval(sql_elem)) is str: val_elem = str(sq../README.md """ __path__ = __import__('pkgutil').extend_path(__path__, __name__) # EAM - Para evitar erroro del modulo logging try: __import__("osgeo") except: pass import logging import logging.config impo
Found 2 shell execution pattern(s)
l_args.extend(args) ret = subprocess.check_call(call_args, shell=True) return (ret == 0) def rounded_process.check_call(call_args, shell=True) return (ret == 0) def rounded_float(a_float, num_de
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
All external links appear legitimate
Repository portdebarcelona/PLANOL-generic_python_packages appears legitimate
1 maintainer concern(s) found
Author "Ernesto Arredondo Martinez" 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 Python-based mini-application named 'TaskManager' which will utilize the 'apb-extra-utils' package to manage tasks more efficiently. This application should allow users to create, update, delete, and list tasks. Additionally, it should support task categorization and priority setting. The application should also include a feature to mark tasks as completed and display a summary of all tasks grouped by their status (completed, pending). The steps to implement this project are as follows: 1. Set up a virtual environment and install necessary packages including 'apb-extra-utils'. 2. Design a simple command-line interface (CLI) using the built-in Python libraries. 3. Implement functions to interact with the 'apb-extra-utils' package for managing tasks, such as adding, updating, deleting, and listing tasks. 4. Add functionality to categorize and set priorities for tasks. 5. Include a feature to mark tasks as completed and display summaries. 6. Test each function thoroughly to ensure they work as expected. 7. Document the code and provide instructions on how to run the application. Some suggested features for enhancing the application could include: - Integration with a local file system for persistent storage of tasks. - Support for due dates and reminders for tasks. - A feature to export task lists to a CSV or JSON file. - User authentication for multiple user support. In this project, the 'apb-extra-utils' package will be utilized for its miscellaneous utility functions that can help streamline the task management process, such as handling file operations, date and time manipulations, and other general utilities that simplify coding. These utilities will be particularly useful for implementing the persistence layer and for managing the date and time aspects of the task management application.
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