AI Analysis
Final verdict: SAFE
The package shows very low risk across all critical areas with no network calls, shell executions, obfuscations, or credential risks detected. The metadata suggests limited activity but does not indicate any malicious behavior.
- No network calls detected
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external API interactions.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package and lacks PyPI classifiers, suggesting low activity or effort, but no clear indicators of malicious intent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: oeaw.ac.at>
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.tei-c.org/ns/1.0}TEI
Git Repository History
Repository acdh-oeaw/acdh-tei-pyutils appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "Peter Andorfer, Daniel Elsner" 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 acdh-tei-pyutils
Create a Python-based mini-application called 'TEI-Inspector' which serves as a tool for researchers and scholars to analyze and manipulate TEI (Text Encoding Initiative) XML documents. The application will leverage the 'acdh-tei-pyutils' package to provide advanced functionality for working with these documents. Step 1: Define the Core Functionality - Develop a feature that allows users to upload a TEI XML file. - Implement a function to parse the uploaded document using the 'acdh-tei-pyutils' package, ensuring that the XML structure is correctly interpreted. - Integrate error handling to manage cases where the uploaded file is not valid TEI XML. Step 2: Enhance Document Analysis - Use 'acdh-tei-pyutils' to extract metadata from the TEI document, such as authorship information, publication dates, and other relevant data points. - Offer a feature to visualize the metadata in a user-friendly format, possibly through a table or graph. Step 3: Add Advanced Search Capabilities - Incorporate a search function that enables users to query specific elements within the TEI document. This could include searching for particular words, phrases, or tags. - Utilize 'acdh-tei-pyutils' to refine search results, providing accurate matches based on the TEI structure. Step 4: Implement Modification Tools - Provide options for users to modify the content of the TEI document directly within the application. - Use 'acdh-tei-pyutils' to ensure that any modifications adhere to TEI standards and conventions. - Include a preview function so users can see changes before saving them. Step 5: Export and Save Options - Allow users to export their modified TEI documents back into XML format. - Ensure that the exported files maintain all necessary TEI attributes and structure. - Implement a save option that retains the document in the application's database for future reference. Suggested Features: - A user interface built with a web framework like Flask or Django, making it accessible via a browser. - Integration with version control systems to track changes made to documents over time. - An API that exposes some of the functionality for use in other applications or scripts. How to Utilize 'acdh-tei-pyutils': - For parsing and validating TEI XML documents. - For extracting metadata and other structured data from the documents. - For manipulating the XML structure while preserving TEI standards. - For searching and querying elements within the document efficiently. This project aims to streamline the process of working with TEI XML documents, making it easier for researchers to analyze, modify, and share their data.