🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate obfuscation and shell execution risks, which may indicate hidden functionality or potential vulnerabilities. However, there is no clear evidence of malicious intent or active exploitation.

Moderate obfuscation risk
Potential shell execution risks

Per-check LLM notes

Network: No network calls detected, which is normal and expected.
Shell: Shell execution patterns indicate potential risks, as they can be used to execute arbitrary commands which may lead to security vulnerabilities.
Obfuscation: The observed patterns suggest potential obfuscation techniques that could be used to hide code logic or imports, indicating a moderate risk of malicious intent.
Credentials: No clear evidence of credential harvesting was found, suggesting a low risk of this activity.
Metadata: The package shows some signs of neglect and outdated links but no clear indicators of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

fo__ = (module_name,) m = __import__(module_name) try: for sub in module_name.split(".")[1:]:
name + "." + name __import__(the_name, globals(), locals()) suite.addTest(modules[the_name].test
e from it's name""" mod = __import__(dotted_name, globals) components = dotted_name.split(".") for comp in com

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

inaryArgs}" process = subprocess.run( command, shell=True, input=data, stdout=subproc
e__ ) subprocess.run(cmd, shell=True) def html(self): htmlfile = ope
ullname ) subprocess.run(cmd, shell=True) try: htmlfilename = os.
e, fullname ) subprocess.run(cmd, shell=True) try: html = open(htmlfi
e, fullname ) subprocess.run(cmd, shell=True) try: xml = open(xmlfile
ess.run( command, shell=True, input=data, stdout=subprocess.PIPE ) out =

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: lists.sourceforge.net

⚠ Suspicious Page Links score 10.0

Found 11 suspicious link(s) on the package page

Non-HTTPS external link: http://plone.org/products/plone/security/advisories/CVE-2011-1949
Non-HTTPS external link: http://dev.plone.org/plone/ticket/10557.
Non-HTTPS external link: http://dev.plone.org/plone/ticket/10402,
Non-HTTPS external link: http://dev.plone.org/plone/ticket/9497.
Non-HTTPS external link: http://dev.plone.org/plone/ticket/9015.
Non-HTTPS external link: http://dev.plone.org/plone/ticket/8187.

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Benjamin Saller" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with Products.PortalTransforms

Create a document transformation utility using Python's 'Products.PortalTransforms' package. This utility will enable users to convert documents from one format to another, such as PDF to DOCX, HTML to PDF, and TXT to RTF. Your task is to develop a command-line interface (CLI) application that allows users to specify the input file path, output file path, and desired output format. Additionally, the application should support batch processing of multiple files at once and provide feedback on the status of each conversion process.

The 'Products.PortalTransforms' package provides MIME-based content transformations, which are ideal for handling various document formats. Here’s a detailed breakdown of your project requirements:

1. **Setup**: Start by installing 'Products.PortalTransforms' and any additional dependencies necessary for handling specific file types (e.g., pdfminer for PDF files).
2. **CLI Development**: Develop a CLI where users can input commands like `transform --input <input_file_path> --output <output_file_path> --format <output_format>`.
3. **File Type Support**: Ensure that the application supports common file types such as PDF, DOCX, HTML, and TXT. You may need to extend the capabilities of 'Products.PortalTransforms' to include these formats if they are not natively supported.
4. **Batch Processing**: Implement functionality to allow users to convert multiple files at once. Users should be able to specify a directory containing the files to be converted, and the application should convert all files within that directory according to the specified format.
5. **Status Feedback**: Provide real-time feedback during the conversion process. For example, print messages indicating when a file has started converting, completed successfully, or encountered an error.
6. **Error Handling**: Include robust error handling to manage issues such as unsupported file formats, missing files, or conversion failures.
7. **Configuration File**: Optionally, allow users to configure default settings in a configuration file, including preferred output formats and directories.
8. **Testing**: Write unit tests to ensure the application works correctly under different scenarios, including edge cases like empty input directories or unsupported file types.

By following these steps, you'll create a versatile and user-friendly document transformation utility that leverages the power of 'Products.PortalTransforms'.