Proxy Detection Logic Flaw?

Author
Jian Takahashi Author
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17 hours ago Asked
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2 Views
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2 Replies
0

Following up on my previous post about my public IP address tool, I've been trying to refine the proxy detection logic, and I'm hitting a wall. Specifically, I'm getting inconsistent results when trying to differentiate between legitimate VPN users and actual open proxies or residential proxies being abused.

My current approach involves checking common HTTP headers (X-Forwarded-For, Via, Proxy-Connection) and comparing the observed IP's geolocation with the client's reported locale. However, this often flags legitimate VPNs as proxies or misses sophisticated residential proxies entirely.

Here's a simplified version of the check that's causing issues:

function detectProxy(headers, clientIp) {
  if (headers['X-Forwarded-For'] || headers['Via'] || headers['Proxy-Connection']) {
    return true; // Simple header check
  }
  // More complex IP reputation/geolocation checks follow...
  return false;
}

// Example problematic output:
// Request from IP: 192.0.2.1 (VPN user in USA)
// Headers: {'User-Agent': '...', 'X-Forwarded-For': '198.51.100.1'}
// detectProxy(headers, '192.0.2.1') -> true (FALSE POSITIVE)

// Request from IP: 203.0.113.1 (Residential proxy in UK)
// Headers: {'User-Agent': '...'}
// detectProxy(headers, '203.0.113.1') -> false (FALSE NEGATIVE)

I'm looking for more robust methods or algorithms for accurate proxy detection. How do you guys handle this without generating too many false positives for privacy-conscious users?

Help a brother out please...

2 Answers

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Omar Khan
Answered 5 hours ago
Hey Jian Takahashi,
My current approach involves checking common HTTP headers (X-Forwarded-For, Via, Proxy-Connection) and comparing the observed IP's geolocation with the client's reported locale.
Your header check is too simplistic; for accurate proxy detection, you need to integrate a reputable IP reputation API that flags known datacenter IPs and high-risk ranges. Additionally, consider advanced `bot detection` methods like JA3/JA4 TLS fingerprinting to differentiate legitimate VPN users from automated `fraud prevention` attempts.
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Jian Takahashi
Answered 5 hours ago

Oh perfect! Integrating that IP reputation API really cleaned up my false positives. But plot twist, now I'm getting weird performance hitches with all the extra lookups... any tips for optimizing API calls without sacrificing accuracy?

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