abrasio

v0.1.3 suspicious
4.0
Medium Risk

Stealth web scraping SDK with optional cloud browser support

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential handling, but its metadata is questionable with a non-secure link and missing maintainer details, raising concerns about potential supply-chain risks.

  • Metadata risk due to lack of secure links and maintainer information
  • Potential supply-chain attack indicators
Per-check LLM notes
  • Network: Network calls to external APIs are common and may be necessary for functionality, but should be reviewed for legitimacy.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has a non-secure link and lacks maintainer information, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • api_url}") req = urllib.request.Request( api_url, headers={"
  • ) with urllib.request.urlopen(req, timeout=5) as response: data =
  • fig.") self._client = httpx.AsyncClient( base_url=self.base_url, headers={
✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: scrapetechnology.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://user:pass@host:8080
✓ Git Repository History

Repository Scrape-Technology/abrasio-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 abrasio 
Create a mini-application named 'WebScraperPro' using the Python package 'abrasio'. This application will serve as a stealthy web scraper tool designed for advanced users who need to extract data from websites without being detected. WebScraperPro should allow users to input URLs and specify which elements they want to scrape, such as titles, images, links, or custom CSS selectors. Additionally, it should have the capability to run scrapes in a headless browser environment provided by Abrasio's cloud browser support feature, ensuring that the scraping process is less likely to trigger anti-bot mechanisms on target sites.

Key Features:
1. User Interface: Develop a simple command-line interface where users can interact with the application.
2. Input Handling: Users should be able to enter one or multiple URLs and specify which HTML elements they wish to scrape.
3. Scraping Mechanism: Utilize Abrasio's stealth capabilities to scrape the specified elements from the given URLs.
4. Cloud Browser Support: Implement a toggle option within the application to switch between local and cloud-based scraping sessions, demonstrating how Abrasio can utilize cloud browsers for more secure and reliable scraping operations.
5. Output Management: Provide options for users to save the scraped data into different formats like CSV, JSON, or directly print it to the console.
6. Error Handling & Logging: Include robust error handling to manage common issues like network errors, invalid inputs, and timeouts. Also, implement logging functionality to track scraping activities and potential issues encountered during execution.

How Abrasio is Utilized:
- Use Abrasio's core functions to initiate stealth scraping sessions, leveraging its ability to configure user agents, cookies, and other HTTP headers to mimic human browsing behavior.
- For cloud browser support, integrate Abrasio's cloud browser API to launch scraping tasks in a remote browser instance, showcasing how this feature can enhance scraping reliability and bypass certain website defenses.
- Employ Abrasio's session management tools to maintain persistent connections and handle cookies across multiple requests if needed.
- Finally, demonstrate Abrasio's flexibility by allowing users to customize scraping parameters through command-line arguments or configuration files.