ScanMalware.com

Security Scan Report: yg001.pages.dev

Submitted: Mar 16, 2026, 7:15:58 AMCompleted: Mar 16, 2026, 7:17:17 AMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 13 domains to perform 1 HTTP transaction. The main domain is yg001.pages.dev and was registered NaN years ago.

Submitted URL: https://yg001.pages.dev/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(66%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'yg001.pages.dev' is registered, featuring subdomain 'yg001'. Its registrable label 'pages' stretches across 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yg001.pages.dev/

Page Load Overview

0.59s
Total Load Time
7
HTTP Requests
4
Domains
409 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
Text Length:251 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical66% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
66%
technology software
50%
documentation technical
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
020.190.160.66Germany
AS20940
0146.75.121.91Germany
AS13335
023.212.110.26GermanyUnknown
0172.66.46.247GermanyUnknown
020.250.198.32GermanyUnknown
023.197.128.15GermanyUnknown
040.126.32.76GermanyUnknown
0104.208.16.91GermanyUnknown
013.107.246.44GermanyUnknown
710--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10724DA31F0B1F43A854F31F6D15A6719BA57E743D7858FF6B04E45282F82BA8AE03069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5SiSvqs+QstkoAZwuPQWpa8b2mvqA4e/5l0A4f:0iSv2DkoAZwuPQWpjb2mvqA4eBlA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224682:dCKBgnBIUHqPQAM+AHkpUqAkDhEGAyBAcGuOjVAFIgACWhEGOgArPkBR0PUAJYGtEgEDBZYCCelEQAJigKB/UoEGKABwwowB

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:#cad22d

Other Hashes

Crop Resistant:5981ccc1338f000f,c2f2d3f3c28244fc,80c0ccc881731f8d

Scan History

Scan history not available

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