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Security Scan Report: nhygt.pages.dev

Redirected to: https://nhygt.pages.dev/

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Submitted: Feb 28, 2026, 7:35:50 AMCompleted: Feb 28, 2026, 7:36:58 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 14 domains to perform 118 HTTP transactions. The main domain is nhygt.pages.dev and was registered NaN years ago.

Submitted URL: http://nhygt.pages.dev/

Effective URL: https://nhygt.pages.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Page mimics Microsoft/Xbox on a new pages.dev subdomain without login forms – moderate‑risk brand impersonation.

Risk Factors
Brand impersonation on an unranked hosting subdomain
New subdomain on a free hosting platform
Potential typo‑squatting / brand misuse
Safety Factors
No password or payment fields
No malicious Indicators of Compromise detected
No JavaScript malware patterns found
No cross‑origin credential exfiltration observed
Served over HTTPS (standard for pages.dev)
Domain age information unavailable

Details

Page Title

Microsoft – AI, molnet, produktivitet, datorer, spel och appar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(91%)

Domain Information

The domain name 'nhygt.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'nhygt'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://nhygt.pages.dev/

Page Load Overview

0.66s
Total Load Time
15
HTTP Requests
8
Domains
209 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-us
Text Length:12,315 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
91%
e-commerce shopping
50%
entertainment media
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.107.213.44Germany
AS16625
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
140.126.31.3Germany
AS13335
123.36.162.222GermanyUnknown
120.250.198.32GermanyUnknown
1146.75.121.91GermanyUnknown
12.21.20.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
120.190.160.67GermanyUnknown
1172.66.47.77United States
AS13335Cloudflare, Inc.
113.107.246.44GermanyUnknown
1513--

Detected Technologies2

JQueryv1.9.1
100%
Microsoft Ajax Content Delivery Network
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D214B731F0F1B53A868F31FAE5595755BA93EB8397848FF2B08E45181F82798EE03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bnzTyp8yi+HDms0Ns0B3V0/KKVEBopgzBP4UQK/Q/B9G3cYJ9lBnRfWDRT3nzE9f:uriPsssi0CUEqpPfHNxmvqAZeW5l0A4Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198720:2AAGQbAoI5QxwggRIYAgLGkCQtCfQOBgBAsgorCiV05FAxJIiKah2zGA1JglMAFgcTYNhGjMoqDBDgIA0gYoIwQRC0YCQIjQ

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:e060e00000ffffff
Perceptual Hash:c240cebd1b99da35
Difference Hash:81c4c8813f490861
Wavelet Hash:e060e00000ffffff
Color Hash:#40bf82

Other Hashes

Crop Resistant:81c4c8813f490861,d2d2d3f3c28204fc,80c0ccc881731f89

Scan History

Scan history not available

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