Hacker News: Show HN: An experimental AntiBot, AntiCrawl reverse proxy for the web

Source URL: https://github.com/pulkitsharma07/OnlyHumans-Proxy
Source: Hacker News
Title: Show HN: An experimental AntiBot, AntiCrawl reverse proxy for the web

Feedly Summary: Comments

AI Summary and Description: Yes

Summary: The text outlines a novel approach to protecting static websites from automated bots and crawlers by serving content as images through an experimental reverse proxy called “OnlyHumans.” This method aims to reduce the efficiency of conventional scraping techniques and may have implications for information security, especially regarding content protection.

Detailed Description:
The “OnlyHumans” project presents an innovative way to mitigate bot scraping by converting website content into images. The intent is to enhance protection against crawlers without imposing significant usability burdens on human users. Below are the key points and implications relevant to security and compliance professionals:

– **Concept Overview**:
– Serves static website content as images, rendering traditional HTML scraping methods less effective.
– Assumes that automated tools will find it more challenging to extract data from images compared to standard HTML.

– **Challenges with Current Solutions**:
– Traditional bot prevention techniques, such as CAPTCHAs, increase cognitive load on users and aren’t always effective.
– Many bots ignore “robots.txt” directives, prompting a need for more robust control measures over website content access.

– **Technical Features**:
– The proxy uses Puppeteer, allowing it to handle navigation through HTML `` tags.
– Implements in-memory caching for improved load times after the initial request.
– Basic watermarking is included to limit confusion between served content and original sites.

– **Potential Workarounds and Limitations**:
– Discusses the challenge of supporting dynamic/interactive content, which currently limits usability.
– Suggests that while OCR technology can be used to read the image-based content, it is significantly more resource-intensive compared to HTML parsing.

– **Use Cases and Future Directions**:
– While initially focused on static websites, potential future developments could enhance support for dynamic content.
– The strategy could be extended to provide layers of obfuscation to increase the difficulty for OCR tools.

Practically, this approach could represent a shift in how web security is approached, indicating that professionals should consider adopting innovative measures that move beyond conventional anti-scraping methods, particularly as AI technologies evolve to engage in scraping easier than ever. The implications for content governance and compliance with data protection regulations could also warrant careful consideration.