AI Analysis
Final verdict: SUSPICIOUS
The package shows moderate risks due to potential data obfuscation and questionable metadata, though it does not exhibit clear signs of malicious activity.
- moderate obfuscation risk
- questionable metadata
Per-check LLM notes
- Network: The presence of network calls is not inherently suspicious but should be assessed against the package's intended functionality.
- Shell: No shell execution patterns were detected.
- Obfuscation: The usage of base64 decoding suggests some form of data obfuscation, but it could also be a legitimate part of functionality, such as handling encrypted or compressed data.
- Credentials: No clear patterns indicative of credential harvesting were found.
- Metadata: Suspicious non-HTTPS link and author details raise concerns, but no clear evidence of typosquatting or active malicious intent.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
t() http_client = httpx.AsyncClient(timeout=self._timeout_config, headers=headers) s
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
parts.append(Part(raw=base64.b64decode(base64_str), media_type=content.media_type or ""))raw=base64.b64decode(base64_data), media_type=content
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: microsoft.com>
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://remote-agent/a2a
Git Repository History
Repository microsoft/agent-framework appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 agent-framework-a2a
Create a mini-application named 'AgentConnector' that serves as a bridge between Microsoft Teams and external systems using the 'agent-framework-a2a' package. This application will enable users to interact with external systems through voice commands within Microsoft Teams, making it easier to perform tasks such as checking weather updates, setting reminders, or fetching news without leaving their Teams environment. **Core Functionality:** 1. **Voice Command Recognition:** Implement voice command recognition to allow users to give commands to the app directly from within Microsoft Teams. For example, users can say 'Check Weather' to get the latest weather forecast. 2. **Integration with External APIs:** Utilize 'agent-framework-a2a' to integrate with various external APIs (such as OpenWeatherMap for weather updates, NewsAPI for news headlines, etc.). 3. **Response Generation:** Based on the user's command and the data fetched from external APIs, generate appropriate responses which could be either text or voice messages back to the user within Microsoft Teams. 4. **User Interaction Logging:** Keep a log of all interactions for future reference or analytics purposes. **Suggested Features:** - **Customizable Commands:** Allow users to customize certain commands based on their preferences or specific needs. - **Multi-Language Support:** Implement support for multiple languages to cater to a global audience. - **Error Handling:** Robust error handling to manage any issues that arise during API calls or command processing. - **User Feedback Mechanism:** Include a feedback mechanism where users can rate the quality of the response or provide suggestions for improvement. **How to Use 'agent-framework-a2a':** - **Setup:** Begin by installing the 'agent-framework-a2a' package in your Python environment. Refer to the official documentation for installation instructions. - **Configuration:** Configure the package to connect with Microsoft Teams by providing necessary credentials and settings. - **Command Mapping:** Define mappings between voice commands and corresponding actions (e.g., calling specific APIs). - **Response Handling:** Use the package's capabilities to process the received data from external APIs and format it into a suitable response format (text or voice). - **Deployment:** Deploy the application within Microsoft Teams, ensuring it's accessible to end-users and can be triggered via voice commands. This project aims to showcase the versatility and power of integrating 'agent-framework-a2a' with external services, enhancing user experience within Microsoft Teams.