Security Scan Report: vnext-ssr.pages.dev

Submitted: Jan 20, 2026, 7:13:40 PMCompleted: Jan 20, 2026, 7:15:11 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is vnext-ssr.pages.dev and was registered NaN years ago.

Submitted URL: https://vnext-ssr.pages.dev

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>5 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
Hosted on a known static‑site hosting service
No external links or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(38%)

Domain Information

The domain 'vnext-ssr.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'vnext-ssr'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus 3 consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vnext-ssr.pages.dev

Page Load Overview

0.21s
Total Load Time
14
HTTP Requests
2
Domains
66 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:115 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism38% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
38%
adult content
38%
government public service
36%
cryptocurrency blockchain
33%
healthcare medical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.66.47.150United States
AS13335CLOUDFLARENET
723.50.131.142Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
142--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B72B526B210652CE427807D78F16689E0DDD4D0FFA392CDFF86AA2485DEDD20772748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MYSRXlL735coKM20aULiR9c9wCDHt1ihydUDu/D/1OgaS3RzSOjMwMD:kJt20oi9/DNPX1ODS3RzSWMwMD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16898:FHxQZEEFiALyBAAGLmoDgwlFtXdIoCwYaTGIykJ4pEAewgQiQooAEYABvQkhAGxMMDkCMAyEMQnoAFCCCFAkpAyFANqaBgQT

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

Average Hash:fefefe8080fefefe
Perceptual Hash:f5d7803d2bc2883d
Difference Hash:0202500a2a900202
Wavelet Hash:fef0f0e08082f2f2
Color Hash:#862d50

Other Hashes

Crop Resistant:0202500a2a900202

Scan History

Scan history not available

Unable to load historical scan data