aiwand

v0.4.38 suspicious
4.0
Medium Risk

A simple AI toolkit for text processing using OpenAI and Gemini APIs

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential shell execution and obfuscation techniques, which require further scrutiny to ensure they do not pose a security threat.

  • moderate shell risk
  • moderate obfuscation risk
Per-check LLM notes
  • Network: The detected network patterns suggest the package makes HTTP/HTTPS calls which could be for legitimate purposes like fetching resources, but may need further investigation to ensure there is no unauthorized data exfiltration.
  • Shell: The use of shell execution commands might indicate an attempt to interact with system binaries, which can be risky if not properly sanitized and controlled, potentially leading to command injection vulnerabilities.
  • Obfuscation: The presence of Base64 decoding suggests some level of obfuscation, but it could also be a legitimate use for handling encoded data.
  • Credentials: No clear patterns indicating credential harvesting were found.
  • Metadata: The maintainer has only one package, indicating a new or less active account which may warrant further investigation.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • 6 test file(s) detected (e.g. doc_test.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5085 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

  • 62 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in onlyoneaman/aiwand
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • rtswith("http"): with urllib.request.urlopen(src) as response: raw = response.read()
  • = "https://" + url req = urllib.request.Request( url, headers={ 'User-Ag
  • ol)' } ) with urllib.request.urlopen(req, timeout=timeout) as response: return Be
  • rument-img" image_bytes = requests.get(image_path).content image = types.Part.from_bytes(
  • try: response = httpx.get(src) raw = response.content # Try to
  • """ try: return httpx.get(doc_url).content except Exception as e: raise Va
⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • (':', 1)[1] raw = base64.b64decode(data) except (ValueError, IndexError): #
  • try: data_bytes = base64.b64decode(base64_data) return data_bytes, mime_type except
  • data_bytes = base64.b64decode(file_data) # Guess mime type
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • y: bin_path = os.popen(f"which {name}").read().strip() if bin_path
  • t subprocess result = subprocess.run( [chrome_path, "--version"], capture
✓ 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

Repository onlyoneaman/aiwand appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Aman Kumar" 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 aiwand 
Develop a versatile text summarization and translation tool called 'TextWand' using the 'aiwand' Python package. This tool will leverage the capabilities of OpenAI and Gemini APIs to provide users with advanced text processing functionalities. Here's a step-by-step guide on how to create this tool:

1. **Setup Project**: Initialize a new Python project and install the 'aiwand' package. Ensure you have API keys from both OpenAI and Gemini services ready for integration.
2. **Core Functionality - Summarize Text**: Implement a feature that allows users to input any text and receive a concise summary. Use 'aiwand' to interact with OpenAI's GPT models for generating summaries.
3. **Translation Module**: Add functionality to translate summarized text into multiple languages. Utilize the Gemini API through 'aiwand' for translation tasks.
4. **User Interface**: Design a simple yet effective command-line interface (CLI) where users can easily input text, choose languages for translation, and view results.
5. **Error Handling and Validation**: Incorporate robust error handling to manage issues such as invalid inputs, API errors, and timeouts. Validate user inputs to ensure they are correctly formatted.
6. **Testing and Documentation**: Write comprehensive tests to cover all functionalities and document the project thoroughly, including setup instructions, usage examples, and troubleshooting tips.
7. **Deployment**: Package your application as a standalone executable or Docker container for easy distribution. Make sure it's accessible and usable by developers and non-technical users alike.

Suggested Features:
- Support for different summarization lengths based on user preference.
- Option to customize language pairs for translation.
- Integration of sentiment analysis using 'aiwand' to gauge the tone of the original text.
- History log of previous operations for reference.
- Ability to save translated summaries as text files or export them directly.

By following these steps and incorporating the suggested features, you'll create a powerful and user-friendly tool for text processing and translation that leverages the advanced capabilities of 'aiwand'.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!