AI Analysis
The package exhibits moderate risks due to its potential to interact with the local network and development environment, although there is no concrete evidence of malicious behavior.
- Network communication with localhost
- Execution of git commands
Per-check LLM notes
- Network: The network calls to localhost suggest the package may be communicating with a local server, which could indicate an attempt at establishing a C2 channel if the server is not legitimate.
- Shell: Executing git commands from within the package suggests interaction with the user's development environment, potentially indicating unauthorized access to version control systems.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The package shows some red flags, such as an author with missing details and a new or inactive account, but there's no clear evidence of typosquatting or other malicious intent.
Package Quality Overall: Low (4.4/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_graph.py)
Some documentation present
Detailed PyPI description (4607 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
27 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 13 commits in lm17918/archviewSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Found 6 network call pattern(s)
rves_html(server): resp = urllib.request.urlopen("http://127.0.0.1:19091/") assert resp.status ==raph_json(server): resp = urllib.request.urlopen("http://127.0.0.1:19091/graph.json") assert resppe-dagre.js"): resp = urllib.request.urlopen(f"http://127.0.0.1:19091/{filename}") assertown(server): try: urllib.request.urlopen("http://127.0.0.1:19091/nonexistent.txt") asef fetch(url): resp = urllib.request.urlopen(url) return resp.status urls = [positions).encode() req = urllib.request.Request( "http://127.0.0.1:19091/save", data
No obfuscation patterns detected
Found 6 shell execution pattern(s)
}" try: result = subprocess.run( ["git", "ls-files", glob], cwd=projlines()) untracked = subprocess.run( ["git", "ls-files", "--others", "--exclude-stan[str]: try: out = subprocess.run( ["git", *args], cwd=project_dir,t_dir = Path(project_dir) subprocess.run( ["git", "rev-parse", "--verify", ref], cwd=view_diff_") try: subprocess.run( ["git", "worktree", "add", "--detach", tmpdir,re_file) finally: subprocess.run( ["git", "worktree", "remove", "--force", tmpdir
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: outlook.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 interactive visualization tool named 'ProjectArchView' using the 'archview' package. This tool will allow users to explore and visualize the architecture of their Python projects in real-time. Users should be able to input a directory path to a Python project, and the tool will generate a live-updating graph showing the structure of modules, packages, and dependencies within the project. Key Features: 1. Directory Selection: Allow users to select a directory containing their Python project. 2. Real-Time Updates: Automatically refresh the architecture view whenever changes are detected in the project files. 3. Customizable Visualization: Provide options to customize the appearance of the graph, such as colors, node shapes, and edge styles. 4. Search Functionality: Implement a search bar where users can find specific modules or packages within the visualized architecture. 5. Export Options: Enable users to export the current view of the architecture as an image file (PNG or SVG format). 6. Interactive Nodes: Clicking on nodes should provide additional information about the module/package, such as its location in the file system and a brief description if available. 7. Dependency Highlighting: Visually distinguish between different types of dependencies (e.g., imports, external libraries) with different colors or labels. 8. Integration with Version Control: If the selected project is under version control (e.g., Git), display commit history related to the selected nodes. Utilizing 'archview': - Use 'archview' to dynamically generate and update the graphical representation of the project's architecture based on the input directory. - Leverage 'archview's interactive capabilities to ensure that the visualization updates in real-time without requiring manual refreshes. - Incorporate 'archview's customization options to allow for a more personalized viewing experience. - Explore 'archview's potential for integrating with other tools or services to enhance the functionality of your application, such as linking nodes to documentation or code editors.
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