2 different solutions:

#1: Ad Proxy
They serve ads throughout the web and these websites act as referrals in order to gather statistics about the Ads.

#2: Fake Referrals
The websites use bots in order to fake referrals and appear on analytics tools like Google Analytics or Mixpanel.

Either way, if you want to generate traffic, you'll have to rely on more high-level channels like SEO, PPC or Social.

Referral traffic from websites like ornacorn.com, adprotect.com, AdProtect.net, and trafficsecure.com often appears in analytics tools like SimilarWeb, Google Analytics, and others. When you see traffic from such sites, it can sometimes be confusing, especially if there is little to no information available about them online. Here are a few key points to understand what might be happening and how you can find more information:

### Possible Explanations for Referral Traffic from Unknown Sites

1. **Spam or Bot Traffic:**
- These referrals might be generated by bots or spammy traffic sources. Some websites use fake referral traffic to get webmasters to visit their sites out of curiosity or concern.
- These bots do not represent real users and are often trying to manipulate traffic metrics.

2. **Analytics Manipulation:**
- Some services send fake traffic to websites to create misleading referral data in analytics tools.
- This can be done for various purposes, such as promoting their own services, manipulating SEO metrics, or other malicious intents.

3. **Affiliate or Ad Networks:**
- In some cases, these domains might be part of an affiliate or ad network that you or your website visitors are inadvertently connected to.
- They might redirect traffic through various intermediaries before reaching the final destination, creating a complex referral chain.

4. **Malware or Adware:**
- Malware or adware installed on user devices can generate fake referral traffic.
- This can lead to unusual spikes in traffic from unknown sources.

### How to Investigate These Referral Sites

1. **Analyze Your Traffic Sources:**
- Use tools like Google Analytics to look deeper into the referral paths.
- Check the behavior of the traffic from these sources, such as bounce rates, session duration, and conversion rates.

2. **Check for Patterns:**
- Look for patterns in the traffic data. High bounce rates and short session durations can indicate low-quality traffic.
- Compare traffic spikes to your marketing activities to see if there’s any correlation.

3. **Block Spammy Referrals:**
- Use filters in Google Analytics to exclude known spammy referral traffic.
- Implement server-side blocks using .htaccess or firewall rules to prevent known bad actors from reaching your site.

4. **Search for Information:**
- Sometimes these sites might not have a web presence. Search forums, SEO communities, and cybersecurity blogs for mentions of these domains.
- Sites like Stack Overflow, Reddit, and specialized SEO forums can have discussions about these domains and similar issues.

5. **Contact Support:**
- If you’re using a web hosting service or a specific analytics tool, contact their support team for help. They might have encountered similar issues and can provide advice or solutions.

### Resources to Learn More

1. **Google Analytics Support:**
- The Google Analytics Help Center has guides on identifying and filtering out spam traffic.

2. **SEO and Web Analytics Forums:**
- Websites like Reddit's r/SEO, Stack Overflow, and specialized SEO forums are good places to ask for advice and share experiences.

3. **Cybersecurity Blogs:**
- Blogs and websites that focus on cybersecurity might have articles discussing these kinds of referral traffic.

4. **Online Communities:**
- Platforms like Moz Community, WebmasterWorld, and others often discuss these topics in depth.

### Conclusion

Referral traffic from obscure domains like ornacorn.com, adprotect.com, AdProtect.net, and trafficsecure.com can often be attributed to spam, bot traffic, or other manipulative practices. By carefully analyzing your traffic sources and using available resources, you can mitigate the impact of this traffic on your analytics and ensure more accurate reporting.