Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is abhijeetpratap.pages.dev and was registered NaN years ago.
Submitted URL: https://abhijeetpratap.pages.dev/use-cloudflare-cdn-in-wordpress/
AI Security Verdict
Low Risk
Confidence: 85%
The page is a legitimate informational blog with no malicious signals; low risk.
Safety Factors
Details
Page Title
Use Cloudflare CDN in Wordpress - AP Blog
Scan Type
public
Language
English
Category
technology software
(73%)Domain Information
The domain 'abhijeetpratap.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'abhijeetpratap'. Count 5 characters in 'pages' holding two vowels versus three consonants. It segments into 1 word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 3 | 178.63.123.247 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 3 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 10 | 3 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data