Security Scan Report: kmhujj.pages.dev

Site favicon
Submitted: Aug 26, 2026, 10:35:17 PMCompleted: Aug 26, 2026, 10:36:26 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

The site displays Microsoft branding without authorization and is hosted on an unknown‑age subdomain, indicating moderate phishing risk.

Risk Factors
Brand impersonation without legitimate claim
Unranked, unknown‑age subdomain on shared hosting platform
Potential typosquatting via brand favicon
Domain age information unavailable

Details

Page Title

Microsoft – AI, molnet, produktivitet, datorer, spel och apparsecondary capture

Scan Type

public

Domain Name Analysis

The domain name 'kmhujj.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'kmhujj'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kmhujj.pages.dev/

Page Load Overview

0.78s
Total Load Time
211 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
223.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
223.3.89.115Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22.23.246.101Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2150.171.109.104Azure · CLOUDUnited States
AS8075Microsoft Corporation
2146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
223.56.203.142Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
147--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA815223E060AC2EB36467B8FDEAB449D676911F824EEC51B4CC064DAFD17D1CD63184

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:F2Rcn6ysevaWr1ZfaxS16saxX1bbEGIfScB/f9TJC:F/3x6ViHd94

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4116:gBiEEYBAQASkAwFAEIhQJgCAAAACFIkIAAADAAKBCAIwAKKIBCBAAkCgxAAgA4gBiAAkfAAhAACxCCOAgYEISAUCECAAIQ0A

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:ff0000000020ffff
Perceptual Hash:c313bcb4c993c3b4
Difference Hash:4db349d140cd0023
Wavelet Hash:ff00000000ffffff
Color Hash:#9ae06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data