ansiburr

v0.0.26 suspicious
7.0
High Risk

Run Ansible modules as Burr state-machine actions in Python.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits medium to high risks in network and shell interactions, indicating potential vulnerabilities that could be exploited. While there is no clear evidence of malicious intent, the combination of these risks and potential typosquatting raise suspicion.

  • High network and shell execution risks
  • Potential for obfuscation techniques
  • Signs of typosquatting or inactive maintenance
Per-check LLM notes
  • Network: The network call suggests the package communicates with an external server which could be used for data exfiltration or command and control.
  • Shell: Executing shell commands can indicate potential for privilege escalation or system compromise, suggesting high risk.
  • Obfuscation: The presence of Base64 decoding suggests possible obfuscation, but without additional context, it could be legitimate use.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The package shows signs of potential typosquatting or a new, possibly inactive maintainer, which raises concerns.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • Test runner config found: pyproject.toml
  • 4 test file(s) detected (e.g. test_cli.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (12623 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 226 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 44 commits in msradam/ansiburr
  • Single author but highly active (44 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • } ).encode() req = urllib.request.Request( f"{OLLAMA_URL}/api/generate", data=
  • cation/json"}, ) with urllib.request.urlopen(req, timeout=60) as resp: data = json.loads(
⚠ Code Obfuscation score 10.0

Found 5 obfuscation pattern(s)

  • import base64 raw = base64.b64decode(state["ready_content"].get("content", "") or "").decode(
  • ort base64 raw = base64.b64decode(value.get("content", "") or "").decode("utf-8", errors="repl
  • red stdout. """ raw = base64.b64decode(state["log_b64"] or "").decode("utf-8", errors="replace")
  • e: State) -> State: raw = base64.b64decode(state["log_b64"] or "").decode("utf-8", errors="replace")
  • try: value = bool(eval(translated, {"__builtins__": {}}, state_dict.copy()))
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • ue, exist_ok=True) return subprocess.Popen( [ "sh", "-c", (
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 ansiburr 
Create a Python-based mini-application named 'BurrAutomation' that leverages the 'ansiburr' package to automate system configuration tasks using Ansible modules within a Burr state machine framework. This application should serve as a bridge between Ansible's powerful automation capabilities and the flexibility of state machines provided by Burr.

### Project Requirements:
- **Application Core Functionality:** The app should allow users to define a series of system configuration tasks using Ansible modules. These tasks will then be executed in a controlled manner via a state machine defined using Burr.
- **User Interface:** Develop a simple command-line interface (CLI) where users can specify their Ansible tasks and configure the state machine parameters such as states, transitions, and conditions.
- **Configuration Management:** Users should be able to save and load configurations for later use. Configurations include both the Ansible task definitions and the state machine setup.
- **Execution Logs:** Implement logging functionality to track the execution of each state in the state machine, including the outcome of each Ansible module execution.
- **Error Handling:** Ensure robust error handling to manage failures gracefully, allowing the state machine to adapt its behavior based on predefined rules.
- **Security Considerations:** Address security concerns by implementing authentication for accessing the application and ensuring that sensitive data, like passwords used in Ansible playbooks, are securely handled.

### Utilizing 'ansiburr':
- Use 'ansiburr' to integrate Ansible modules into your state machine logic. Each state in the state machine should correspond to an Ansible task or a set of tasks.
- Leverage 'ansiburr' to execute these tasks in a sequence dictated by the state machine, enabling complex workflows and conditional executions.
- Explore advanced features of 'ansiburr', such as handling asynchronous task execution and managing task dependencies within the state machine framework.

### Deliverables:
- A fully functional 'BurrAutomation' application.
- Detailed documentation explaining how to install, configure, and use the application.
- Example configurations showcasing different use cases and demonstrating the integration of Ansible with Burr state machines.

💬 Discussion Feed

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