ScanMalware.com

Security Scan Report: j2hjuyt.pages.dev

Redirected to: https://j2hjuyt.pages.dev/

Submitted: Mar 20, 2026, 7:32:05 PMCompleted: Mar 20, 2026, 7:33:16 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 13 domains to perform 110 HTTP transactions. The main domain is j2hjuyt.pages.dev and was registered NaN years ago.

Submitted URL: http://j2hjuyt.pages.dev/

Effective URL: https://j2hjuyt.pages.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Site mimics Microsoft branding on a new pages.dev subdomain without login forms; moderate risk due to brand impersonation.

Risk Factors
Brand impersonation on a non‑official domain
New/unknown subdomain age on a free hosting platform
Unranked domain with high‑profile brand name
Safety Factors
No password or payment fields present
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
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

Domain 'j2hjuyt.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'j2hjuyt'. 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 http://j2hjuyt.pages.dev/

Page Load Overview

2.50s
Total Load Time
15
HTTP Requests
8
Domains
342 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
4150.171.109.100United States
AS16625
113.69.239.72United States
AS20940
113.107.246.44United States
AS13335
120.250.198.32United StatesUnknown
123.197.128.15United StatesUnknown
113.107.213.44United StatesUnknown
1172.66.47.103United States
AS13335Cloudflare, Inc.
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
140.126.31.3United StatesUnknown
123.36.162.207United StatesUnknown
1512--

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

T18424D931F0B1F43A854F31F6D15A6719BA57E743D7858FF6B04E45282F82BA8AE03069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6OiT/qs+QstkoAZwuP8Wpa8p0mvqAIe/5l0A4U:7iT/2DkoAZwuP8Wpjp0mvqAIeBlb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:223376:RGBiuskSMAAxieySQBDikxSKCG0ICRCFBwIQOQRMwIEjgIqCkIBNFMHwlyGOweAwDIEElAtRoIjQxWaRJWAAQ9DJjYAgzAdJ

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:ff60e0e00000ffff
Perceptual Hash:e242bd3d99d326a4
Difference Hash:5981ccc1338f000f
Wavelet Hash:ff60e0e00000ffff
Color Hash:#ac7753

Other Hashes

Crop Resistant:5981ccc1338f000f,c2f2d3f3c28244fc,80c0ccc881731f8d

Scan History

Scan history not available

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