🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate network and shell execution risks, which while not conclusive evidence of malicious intent, warrant further investigation to ensure it is not part of a supply-chain attack.

Moderate network risk
High shell execution risk

Per-check LLM notes

Network: Network calls suggest data transmission to external servers, which could be legitimate but may also indicate data exfiltration.
Shell: Execution of shell commands indicates potential automated deployment and version control operations, but also raises concerns about unauthorized system modifications.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, suggesting a potentially new or less active account, but no other red flags are present.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

a {data}') response = requests.post(record_server_url, json=data) logger.debug(f'{self.t
a {data}') response = requests.post(self.callback_url, json=data) self.logger.debug(f'{s
_params() async with httpx.AsyncClient( **{ 'timeout': forward_

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

rsal) distribution…') os.system( '{0} setup.py sdist bdist_wheel --universal'.fo
to PyPI via Twine…') os.system('twine upload dist/*') self.status('Pushing git tag
('Pushing git tags…') os.system('git tag v{0}'.format(about['__version__'])) os.syst
bout['__version__'])) os.system('git push --tags') sys.exit() # Where the magic h

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: acedata.cloud

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository AceDataCloud/ScaffoldPython appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Ace Data Cloud" 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 acedatacloud-scaffold

Your task is to develop a mini-application called 'DataInsightPro' using the 'acedatacloud-scaffold' package. This application will serve as a data analysis tool, allowing users to fetch, analyze, and visualize data from various sources through the Ace Data Cloud API. Here’s a detailed breakdown of what your application should achieve:

1. **Setup**: Begin by installing the 'acedatacloud-scaffold' package and setting up a basic structure for your application.
2. **Authentication**: Implement a user authentication system where users can sign up, log in, and manage their accounts securely. Utilize OAuth 2.0 for secure authentication.
3. **Data Fetching**: Integrate the 'acedatacloud-scaffold' package to fetch data from multiple sources via the Ace Data Cloud API. Ensure that the application can handle different types of data formats and structures.
4. **Data Analysis**: Provide functionalities to perform basic statistical analysis on fetched data, such as calculating mean, median, mode, standard deviation, etc. Also, implement more advanced features like trend analysis and anomaly detection.
5. **Visualization**: Create visual representations of the analyzed data using charts and graphs. Support at least three types of visualizations: line charts, bar charts, and pie charts.
6. **User Interface**: Design a user-friendly interface that allows users to interact with the application seamlessly. Consider responsive design principles to ensure the application works well on both desktop and mobile devices.
7. **Reporting**: Enable users to generate reports based on their data analysis. These reports should be exportable in PDF format.
8. **Security Measures**: Implement security measures such as data encryption, secure data storage, and protection against common web vulnerabilities like SQL injection and XSS attacks.

Throughout the development process, leverage the 'acedatacloud-scaffold' package's capabilities to streamline the integration with the Ace Data Cloud API and focus on building robust and efficient data processing and visualization functionalities.