AI Analysis
The package exhibits significant risks due to network and obfuscation concerns, though direct evidence of malicious intent is lacking.
- High network risk
- Significant obfuscation risk
Per-check LLM notes
- Network: The package makes network calls to an external domain which could potentially be used for data exfiltration or unauthorized access.
- Shell: The presence of shell execution suggests potential for command injection or enabling additional functionality via CLI, but it's not inherently malicious without further context.
- Obfuscation: The code shows signs of deliberate obfuscation which may indicate an attempt to hide malicious activities.
- Credentials: No clear evidence of credential harvesting is present, but the obfuscated nature raises suspicion.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, but there are no clear indications of malicious intent.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (5038 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
122 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
Found 6 network call pattern(s)
ce(self): response = requests.get(f'https://{DOMAIN}/v1/user/profile', headers=self.headers)product}' response = requests.get(url, headers=self.headers).json() return Phone(resp: response = requests.get(f'https://{DOMAIN}/v1/user/check/{phone.id}', headers=self.hroduct: str): response = requests.get(f'https://{DOMAIN}/v1/guest/prices?country={country}&productsoup = BeautifulSoup(requests.get(self.normal_download_link).text, 'html.parser') url).get('href') return requests.get(url) def content(self): return self.__respon
Found 1 obfuscation pattern(s)
ength) return pickle.loads(data) except ConnectionRefusedError: rai
Found 2 shell execution pattern(s)
if os.name == "nt": os.system("") # enable ANSI colors on Windows try: vptry: result = subprocess.run( [self.cli_path, *args], c
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application called 'AutoWebX' using the Python package 'autowebx'. This application will serve as a tool for automating repetitive web tasks, such as signing up for services using temporary emails, solving captchas, and navigating websites with automated browsers. Hereβs a detailed breakdown of the steps and features you need to implement: 1. **Project Setup**: Start by setting up your Python environment. Install the necessary packages including 'autowebx', 'playwright', and any other dependencies. 2. **User Interface**: Develop a simple command-line interface (CLI) where users can input commands to interact with the application. 3. **Temporary Email Generation**: Implement functionality that allows users to generate temporary emails using the 'autowebx' package. This feature will help users sign up for services without providing their real email addresses. 4. **Captcha Solving**: Integrate the captcha-solving capabilities of 'autowebx' into your application. Users should be able to upload images of captchas, and the application should solve them automatically. 5. **Proxy Management**: Use 'autowebx' to manage proxy servers during web scraping tasks. Ensure the application can switch between different proxies to avoid being blocked by websites. 6. **Automated Browsing**: Utilize the Playwright humanizer from 'autowebx' to simulate human-like browsing behavior. This includes handling mouse movements, scrolling, and delays to mimic actual user interactions. 7. **Web Form Filling**: Add a feature that allows users to fill out web forms automatically. The application should be able to navigate to specified URLs, locate form fields, and enter data based on user input. 8. **Testing and Validation**: Test each feature thoroughly to ensure they work as expected. Validate the functionality of temporary email generation, captcha solving, proxy management, and automated browsing. 9. **Documentation**: Provide clear documentation for the application, explaining how to install it, use its features, and troubleshoot common issues. By following these steps, you'll create a powerful yet user-friendly tool that leverages the automation capabilities provided by 'autowebx'.
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