🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate network risk due to potential transmission of sensitive information, and metadata concerns such as an anonymous author and lack of other published packages.

network risk due to potential transmission of sensitive information
metadata issues with an anonymous author and single package

Per-check LLM notes

Network: The observed network calls include HTTP methods that can potentially transmit sensitive information like 'secret_key', which may indicate improper handling of credentials.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package has some red flags, including an author with no name and only one package, but there are no clear signs of typosquatting or other malicious activities.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

secret_key response = requests.post( url=url, headers=_HEADERS, json=payload, timeou
secret_key response = requests.put( url=url, headers=_HEADERS, json=payload, timeou
secret_key response = requests.get( url=url, params=params, headers=_HEADERS,
ntent_type response = requests.post( url=url, headers=_HEADERS, data=data, timeout=(
ntent_type response = requests.put( url=url, headers=_HEADERS, data=data, timeout=(
secret_key response = requests.delete( url=url, params=params, headers=_HEADERS,

✓ 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: acceldata.io>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 acceldata-sdk

Create a data monitoring dashboard using the Acceldata SDK in Python. This dashboard will allow users to monitor various metrics of their data pipelines and systems in real-time. The application should include the following features:

1. **Real-Time Monitoring**: Display key performance indicators (KPIs) such as throughput, latency, and error rates for data pipelines.
2. **Alert System**: Set up customizable alerts based on thresholds for different KPIs. Users should receive notifications via email or SMS when predefined conditions are met.
3. **Historical Data Analysis**: Provide a feature to analyze historical data trends over time, allowing users to identify patterns or anomalies.
4. **User Interface**: Develop an intuitive web interface using a modern framework like Flask or Django. The UI should be responsive and easy to navigate.
5. **Customization Options**: Allow users to customize which KPIs they want to monitor and set their own thresholds for alerts.
6. **Authentication**: Implement basic authentication to ensure only authorized users can access the dashboard.

**Utilizing the Acceldata SDK**:
The Acceldata SDK will be used to interact with the backend services for fetching real-time data, setting up alert rules, and managing user configurations. Specifically, you will use the SDK to:
- Connect to the Acceldata platform and authenticate requests.
- Retrieve real-time data and historical data for analysis.
- Configure and manage alert rules for different KPIs.
- Integrate with the Acceldata platform to push user-specific configurations and settings.

Your task is to outline the steps needed to develop this application, including setting up the environment, integrating the Acceldata SDK, building the UI, and deploying the final product. Additionally, provide sample code snippets where applicable to illustrate how the SDK is being utilized.