arker

v0.5.1 suspicious
6.0
Medium Risk

Python client for the Arker virtual computer platform.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and is likely a typosquatting attempt targeting 'faker'. While there are no direct indications of malicious activities, the combination of high obfuscation risk and the typosquatting pattern raises concerns about its legitimacy.

  • High obfuscation risk
  • Suspected typosquatting
Per-check LLM notes
  • Network: Network calls suggest the package may be interacting with external services, which could indicate legitimate functionality but also potential risks like data exfiltration.
  • Shell: No shell execution patterns detected.
  • Obfuscation: The use of base64 decoding without clear purpose suggests potential obfuscation or hiding of code.
  • Credentials: No clear patterns indicating credential harvesting were found.
  • Metadata: The author's details are sparse and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.
  • ⚠ Typosquatting target: faker

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: pyproject.toml
  • 5 test file(s) detected (e.g. demo.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://arker.ai/docs
  • Detailed PyPI description (2265 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 5.0

Partial type annotation coverage

  • 76 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 6 unique contributor(s) across 61 commits in ArkerHQ/arker-sdk
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • igned_url", 200) with urllib.request.urlopen(url, timeout=300) as response: return re
  • try: req = urllib.request.Request(url, method="PUT", data=data) with u
  • ta=data) with urllib.request.urlopen(req, timeout=PRESIGNED_PUT_TIMEOUT_S) as response:
  • tuple[int, bytes]: req = urllib.request.Request(url, method=method, headers=headers, data=data)
  • a=data) try: with urllib.request.urlopen(req, timeout=120) as response: return re
  • URCE_VM") original_urlopen = urllib.request.urlopen def trace_urlopen(req, *args, **kwargs): # type:
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • g == "base64": return base64.b64decode(text) return text.encode("utf-8", "replace") def _asse
  • y["op"] == "write" assert base64.b64decode(entry["content"]) == b"hello world" assert entry["start"
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: faker

  • "arker" is 2 edit(s) from "faker"
✓ Registered Email Domain

Email domain looks legitimate: arker.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ArkerHQ/arker-sdk appears legitimate

⚠ 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 arker 
Create a Python-based utility called 'ArkerManager' that leverages the 'arker' package to manage virtual computers on the Arker platform. This tool should allow users to perform basic operations such as starting, stopping, and monitoring their virtual machines. Additionally, it should provide advanced functionalities like deploying pre-configured VM images, managing network configurations, and tracking resource usage statistics.

Step 1: Set up the project environment by installing the 'arker' package and any additional dependencies needed for the project.
Step 2: Design a command-line interface (CLI) where users can interact with the 'ArkerManager'. The CLI should support commands for:
- Listing all available virtual machines
- Starting and stopping specific virtual machines
- Retrieving the current status of a VM (running, stopped, etc.)
- Deploying new VMs from predefined templates
- Modifying network settings of a VM
Step 3: Implement the core functionalities of 'ArkerManager', using the 'arker' package to communicate with the Arker platform and execute the desired actions.
Step 4: Add error handling and logging mechanisms to ensure the application provides informative feedback to users and logs critical information for debugging purposes.
Step 5: Extend the functionality of 'ArkerManager' by adding features such as:
- Automatic scaling of resources based on load
- Monitoring CPU and memory usage over time
- Generating reports on VM performance and resource utilization
Step 6: Test the application thoroughly under various scenarios to ensure reliability and robustness.

The 'arker' package plays a crucial role in this project by providing the necessary functions to interact with the Arker platform's API, allowing developers to automate the management of virtual machines without needing direct access to the underlying infrastructure.

💬 Discussion Feed

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