anon-requests

v0.0.1 suspicious
5.0
Medium Risk

anonymous requests

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate level of risk due to its use of proxy rotation and significant obfuscation, raising concerns about its true purpose and transparency.

  • High obfuscation risk
  • Proxy rotation usage
Per-check LLM notes
  • Network: The observed network patterns indicate the package uses proxy rotation, which is common for anonymized web requests but could be used for suspicious activities if not transparently documented.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The code pattern suggests an attempt to obfuscate strings, which could be indicative of malicious intent or an effort to hide implementation details.
  • Credentials: No clear patterns of credential harvesting are detected, but the presence of obfuscation may warrant further investigation.
  • Metadata: The maintainer has only one package and lacks PyPI classifiers, suggesting low activity or effort.

📦 Package Quality Overall: Low (2.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 17 commits in OpenJarbas/anon_requests
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • self): self.session = requests.Session() self.rotate_identity() def rotate_identity(se
  • y: response = requests.get(self.test_url, proxi
  • ntry"] = c page = requests.get(self.url, headers=self.headers, params=params) d
  • proxies = [] data = requests.get(self.url, params=self.params) for p in data.json()["
  • self): self.session = requests.Session() self.session.proxies.update({ 'http':
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • it("\")")[0] ip = base64.b64decode(ip.encode("utf-8")).decode("utf-8") port = field
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: mailfence.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository OpenJarbas/anon_requests appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "jarbasAi" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with anon-requests 
Create a privacy-focused web scraping tool named 'PrivacyScraper' using the Python package 'anon-requests'. This tool will allow users to scrape data from websites while maintaining their anonymity. Here’s a detailed plan on how to build this tool:

1. **Setup**: Begin by installing the necessary packages including 'anon-requests', 'beautifulsoup4', and 'pandas'.
2. **Core Functionality**:
   - Implement a function `scrape_website(url)` that takes a URL as input and returns the HTML content of the page.
   - Use 'anon-requests' to send HTTP requests anonymously, ensuring that the IP address used for scraping is not traceable back to the user.
3. **Data Extraction**:
   - Integrate 'BeautifulSoup' to parse the HTML content and extract specific data points such as text, images, or links based on user-defined selectors.
4. **Output Options**:
   - Provide options to save the extracted data in various formats like CSV, JSON, or Excel using 'pandas'.
5. **Advanced Features**:
   - Include a feature to rotate proxies automatically after a certain number of requests to avoid being blocked by the target website.
   - Add a user-friendly command-line interface (CLI) for easy interaction.
6. **Testing & Documentation**:
   - Write tests to ensure the functionality works as expected.
   - Create comprehensive documentation explaining how to use PrivacyScraper effectively and securely.

This project aims to demonstrate the power of 'anon-requests' in enhancing privacy during web scraping tasks, making it a valuable tool for researchers, journalists, and anyone needing to gather information online without revealing their identity.

💬 Discussion Feed

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