Security Scan Report: lkjh-7ij.pages.dev

Redirected to: https://lkjh-7ij.pages.dev/

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Submitted: Feb 28, 2026, 4:15:17 PMCompleted: Feb 28, 2026, 4:16:26 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 14 domains to perform 116 HTTP transactions. The main domain is lkjh-7ij.pages.dev and was registered NaN years ago.

Submitted URL: http://lkjh-7ij.pages.dev/

Effective URL: https://lkjh-7ij.pages.dev/Redirected

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Page mimics Microsoft on a new pages.dev subdomain; likely phishing – do not trust.

Risk Factors
Brand impersonation on an unranked, free‑hosting subdomain
New/unknown subdomain age (potentially created yesterday)
High JavaScript obfuscation score indicating attempt to hide content
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

You're looking at domain 'lkjh-7ij.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'lkjh-7ij'. The registrable portion 'pages' spans 5 characters containing two vowels alongside three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://lkjh-7ij.pages.dev/

Page Load Overview

1.07s
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
313.107.246.44Germany
123.212.214.62Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
123.36.162.220United States
120.190.159.68UnknownUnknown
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
123.53.42.17UnknownUnknown
120.250.198.32UnknownUnknown
120.190.159.71UnknownUnknown
113.107.213.44UnknownUnknown
123.197.128.15UnknownUnknown
1513--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E014C731F0F1B53A868F31FAE5595755BA93EB8397848FF2B08E45181F82798EE03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8nzTypFyiGHDms0Ns0B3V0/KKVEBopgzBP4UQK/Q/B9G3cYJ9lBnRfWDRT3nzE9t:/+i3sssi0CUEqpPfHFJmvqAFeW5l0A4i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198720:CxAJSAEYtNBZ3wAwwEBA1ih/UpQCSIAAJkOxcLHgw0aBCETGiAIkEr4FEYs2AA5hIyCITElIkhACEoACMEGhs6YBRICOAKRR

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:#87c5b5

Scan History

Scan history not available

Unable to load historical scan data