Summary
This website contacted 14 IPs in 3 countries across 14 domains to perform 2 HTTP transactions. The main domain is nivatsod.pages.dev and was registered NaN years ago.
Submitted URL: https://nivatsod.pages.dev/posts/foetodon-king-kong-2005-toys
AI Security Verdict
Low Risk
Confidence: 78%
The site shows no phishing or malware signs; low risk despite unknown subdomain age.
Safety Factors
Details
Page Title
Foetodon King Kong 2005 Toys / 2005 king kong playmates toy line foetodon. - Dostavin
Scan Type
public
Language
English
Category
e-commerce shopping
(46%)Domain Information
Domain 'nivatsod.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'nivatsod'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Word splitting yields 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 |
|---|---|---|---|
| 15 | 2.16.10.151 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 172.255.141.4 | Netherlands | AS7979Servers.com, Inc. |
| 2 | 142.251.110.119Google · CDN | United States | AS15169Google LLC |
| 2 | 162.159.142.170Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 52.0.250.141Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 2 | 2.16.206.7 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 2 | 23.45.109.51 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 2 | 146.75.120.159Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 2 | 146.75.120.84Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 41 | 14 | - | - |
Detected Technologies7
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