Security Scan Report: kjhjh.pages.dev

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

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Submitted: Mar 1, 2026, 3:44:35 AMCompleted: Mar 1, 2026, 3:45:52 AMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 12 domains to perform 1 HTTP transaction. The main domain is kjhjh.pages.dev and was registered NaN years ago.

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

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; site appears safe.

Safety Factors
No malicious Indicators of Compromise
No forms collecting sensitive data
Hosted on a standard free hosting platform without suspicious activity
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 'kjhjh.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'kjhjh'. The registrable portion 'pages' spans 5 characters containing two vowels alongside 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.23s
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
723.52.181.212Finland
113.107.246.44United States
123.36.162.222France
1146.75.121.91Sweden
120.190.160.132UnknownUnknown
123.197.128.15UnknownUnknown
120.190.159.128UnknownUnknown
120.250.198.32UnknownUnknown
1172.66.44.246UnknownUnknown
159--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11814C731F0F1B53A868F31FAE5595755BA93EB8397848FF2B08E45181F82798EE03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8nzTyplyiKHDms0Ns0B3V0/KKVEBopgzBP4UQK/Q/B9G3cYJ9lBnRfWDRT3nzE9r:/eiLsssi0CUEqpPfH/9mvqANeW5l0A4K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198720:UCMEqVGkBBqADiaaC8BUICRIxEhh2GBWEIGbTBgQAGFFUkyICgE20DQ5EYRWEKlBaiYGvwwzCaAGCBIhSAsEAB8ANRekaUBI

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:#2d864c

Scan History

Scan history not available

Unable to load historical scan data