SpockFlow

v0.3.0.post2 suspicious
6.0
Medium Risk

Everything you could ever dream of

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of potentially malicious behavior due to its high obfuscation risk and shell execution risks. These factors suggest it might be used for unauthorized actions.

  • High obfuscation risk due to 'eval' usage
  • Moderate shell risk indicating potential unauthorized system modifications
Per-check LLM notes
  • Network: No network calls were detected.
  • Shell: The shell execution patterns indicate potential unauthorized system modifications and service management, which may not be typical for a package named 'SpockFlow'. Further investigation is recommended.
  • Obfuscation: The use of 'eval' in conjunction with 'isin' suggests an attempt to obfuscate code execution, which is suspicious.
  • Credentials: No clear indicators of credential harvesting were found.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • np.isin(values, eval(v[0])) if not pd.isnull(v[0])
⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • ged to the container logs subprocess.check_call(["ln", "-sf", "/dev/stdout", "/var/log/nginx/access.log"])
  • r/log/nginx/access.log"]) subprocess.check_call(["ln", "-sf", "/dev/stderr", "/var/log/nginx/error.log"])
  • inx/error.log"]) nginx = subprocess.Popen( ["nginx", "-c", os.path.join(os.path.split(__file__
  • conf")] ) gunicorn = subprocess.Popen( [ "gunicorn", "--timeout",
  • ments_path] try: subprocess.check_call(pip_install_cmd) except subprocess.CalledProcessError:
✓ 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

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 SpockFlow 
Your task is to create a fully-functional mini-application called 'SpockFlow Adventure'. This app will serve as a fun and educational tool for users to explore the vast capabilities of the fictional 'SpockFlow' package, which claims to offer everything one could dream of. Your goal is to design a simple yet engaging game where players navigate through different levels, each representing a unique feature of SpockFlow. Each level will challenge the user to solve problems using specific functionalities provided by SpockFlow.

### Project Scope:
- **Level 1:** Introduction to Basic Commands - Players will learn to execute basic commands like 'hello', 'print', etc., which are essential for understanding the syntax and structure of SpockFlow.
- **Level 2:** Data Manipulation - In this level, users will manipulate data structures such as lists, dictionaries, and sets using SpockFlow's powerful data handling capabilities.
- **Level 3:** Machine Learning Basics - Here, players will use SpockFlow's machine learning libraries to perform simple tasks like classification or regression on toy datasets.
- **Level 4:** Advanced Topics - For more advanced users, this level introduces topics such as neural networks, deep learning, and other high-level features of SpockFlow.
- **Level 5:** Custom Module Creation - The final level challenges users to create their own custom modules using SpockFlow, demonstrating its flexibility and extensibility.

### Suggested Features:
- **Interactive Tutorial:** A guided tour through each level with examples and explanations.
- **Code Editor:** An embedded code editor within the app where users can write and run SpockFlow code directly.
- **Visual Feedback:** Graphical representations of the results from each level, making it easier to understand complex concepts visually.
- **Progress Tracking:** Users can track their progress through the levels and see how they improve over time.
- **Community Forum:** A space where users can share their experiences, ask questions, and help each other out.

### Utilization of SpockFlow Package:
- **Integration:** Ensure SpockFlow is seamlessly integrated into your application so that all functions, classes, and methods are accessible and easy to use.
- **Documentation:** Provide comprehensive documentation for each level, explaining how to use SpockFlow effectively.
- **Error Handling:** Implement robust error handling to guide users when they encounter issues while coding.
- **Feedback Mechanism:** Incorporate a feedback mechanism that evaluates the correctness of the user's code and provides constructive feedback.

Your goal is to create an engaging, educational, and fun application that not only teaches users about SpockFlow but also inspires them to explore more advanced topics in the future.