Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is dev-eqk.pages.dev and was registered NaN years ago.
Submitted URL: https://dev-eqk.pages.dev/comparisons/cloudflare-workers-comparison-cloudflare-workers-vs-cloudflare-workers-ai-vs-cloudflare/
AI Security Verdict
Low Risk
Confidence: 82%
The site shows no malicious forms, IoCs, or malware and appears to be a legitimate technical article.
Safety Factors
Details
Page Title
Cloudflare Workers vs Cloudflare Workers AI vs Cloudflare... — AI Stripes
Scan Type
public
Language
English
Category
technology software
(80%)Domain Information
You're looking at domain 'dev-eqk.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'dev-eqk'. Count 5 characters in 'pages' split between two vowels and three consonants. Breaking it apart gives 1 word: pages. 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 |
|---|---|---|---|
| 3 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 77.42.70.141 | Helsinki, Uusimaa, Finland | AS24940Hetzner Online GmbH |
| 5 | 2 | - | - |
Detected Technologies4
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