Summary
This website contacted 3 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is dallashome.pages.dev and was registered 5 years ago.
Submitted URL: https://dallashome.pages.dev/products/dh-019
AI Security Verdict
Low Risk
Confidence: 82%
The page shows its own brand, has no forms or malicious indicators, and is therefore low risk.
Safety Factors
Details
Page Title
Ridged Pasta Serving Spoon | Dallas Home
Scan Type
public
Language
Danish
Category
finance banking
(61%)Domain Information
You're looking at domain 'dallashome.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'dallashome'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Splitting it apart reveals 1 word: pages. The median word length lands at five characters. 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 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 172.67.204.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 8 | 3 | - | - |
Page Statistics
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