a2a-pack

v0.1.67 suspicious
4.0
Medium Risk

Developer SDK + CLI for building, packaging, and deploying A2A agents.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning characteristics such as obfuscation techniques and a lack of maintainer information, raising suspicion about its true intentions. However, without concrete evidence of malicious activity, it cannot be definitively labeled as harmful.

  • Obfuscation risk due to base64 decoding
  • Lack of maintainer information
Per-check LLM notes
  • Network: The detected network patterns are typical for packages that perform HTTP requests, possibly for fetching data or interacting with APIs.
  • Shell: The shell execution patterns indicate the package might be using subprocess calls to interact with version control systems like Git, which could be part of its intended functionality but requires careful review to ensure no unintended access is granted.
  • Obfuscation: The presence of base64 decoding suggests potential obfuscation, but it could also be used for legitimate purposes such as data encoding.
  • Credentials: No clear patterns indicative of credential harvesting were found.
  • Metadata: Suspicious non-HTTPS link and lack of maintainer information suggest potential issues, but no clear signs of typosquatting or active malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • e/{skill}" async with httpx.AsyncClient(timeout=timeout or self.default_timeout) as c: r
  • } async with httpx.AsyncClient(timeout=self.timeout_seconds) as client: if self
  • try: async with httpx.AsyncClient(timeout=5.0) as client: resp = await client.get(
  • = purpose async with httpx.AsyncClient(timeout=10.0) as client: resp = await client.pos
  • ken_name}" async with httpx.AsyncClient(timeout=10.0) as client: resp = await client.del
  • "] = skill async with httpx.AsyncClient(timeout=self._timeout) as c: resp = await c.get(
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • "base64": return base64.b64decode(content) return content.encode("utf-8") async d
  • rip() try: return base64.b64decode(clean, validate=True) except binascii.Error: pad
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • None: try: out = subprocess.run( ["git", "-C", str(project), "rev-parse", "--sho
  • '.join(cmd)}[/]") return subprocess.run(cmd, check=True, text=True, **kwargs) def _clean_init_auth
  • {language}") try: subprocess.run( command, cwd=project, c
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: a2acloud.io>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://127.0.0.1:8000/_dev`
✓ 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 a2a-pack 
Create a mini-application called 'AgentDeployer' that streamlines the deployment process of A2A agents using the 'a2a-pack' package. This application will serve as a user-friendly interface for developers to easily build, package, and deploy their A2A agents without needing to manually configure each step. Here’s a detailed breakdown of what the application should accomplish:

1. **User Interface**: Design a simple yet intuitive command-line interface (CLI) that guides users through the deployment process. It should support basic commands such as `build`, `package`, `deploy`, and `status`.
2. **Build Process**: Implement a feature within 'AgentDeployer' that allows users to specify their A2A agent source code directory. The application should then use 'a2a-pack' to compile and prepare the agent for packaging.
3. **Packaging**: Once the agent is built, 'AgentDeployer' should automatically package it according to the specifications provided by 'a2a-pack'. Users should have the option to customize packaging settings if needed.
4. **Deployment**: After packaging, the application should offer options to deploy the agent either locally or to a specified remote server. It should handle authentication and connection details transparently based on user input.
5. **Status Updates**: Provide real-time status updates during the build, package, and deployment phases. Users should receive notifications about any errors or completion messages.
6. **Configuration Management**: Include a configuration file generator that helps users set up necessary configurations like environment variables, network settings, etc., before starting the deployment process.
7. **Documentation**: Ensure that the application comes with comprehensive documentation that explains how to install 'AgentDeployer', how to use its CLI commands, and how to troubleshoot common issues.

Incorporate these functionalities using 'a2a-pack' effectively to showcase its capabilities while making the deployment process as seamless as possible for developers.