ScanMalware.com

Security Scan Report: yg001.pages.dev

Redirected to: https://yg001.pages.dev/

Submitted: Mar 20, 2026, 1:48:57 AMCompleted: Mar 20, 2026, 1:50:16 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 13 domains to perform 104 HTTP transactions. The main domain is yg001.pages.dev and was registered NaN years ago.

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

Effective URL: https://yg001.pages.dev/Redirected

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 – kunstig intelligens, cloud, produktivitet, databehandling, gaming og apps

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(66%)

Domain Information

You're looking at domain 'yg001.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'yg001'. Count 5 characters in 'pages' holding two vowels versus 3 consonants. Word splitting yields 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.69s
Total Load Time
8
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
51%
documentation technical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.107.213.44United States
AS16625
023.36.162.220United States
AS20940
020.250.198.32United States
AS13335
040.126.31.131United StatesUnknown
013.107.246.44United StatesUnknown
023.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0146.75.121.91United StatesUnknown
052.168.117.175United StatesUnknown
020.190.160.22United StatesUnknown
0172.66.45.9United States
AS13335Cloudflare, Inc.
811--

Detected Technologies1

Akamai Bot Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17624D831F0B1B43A854F31F6D55A5718AB93E743D7859FF6B05E01282F82BA8AE4306D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XHiZRkoASwl9aSp/8NOav43cH8fRfjQ5l0P4K:XiZRkoASwl9aSpUNOJRfj6lq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:213889:UiroMOgAvAEiJgAYMhoAXFo6qCogIPYliJCmI2EshAhBUlYaYogeaoYRUCZglAoCEQAtFQBCFKRF8GLRAWgDRISCMGQ0BLC8

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:ff60e0f00000ffff
Perceptual Hash:e242bd3d99d236a4
Difference Hash:3dc1ccc1330f000f
Wavelet Hash:ff60e0e00000ffff
Color Hash:#2d867b

Other Hashes

Crop Resistant:3dc1ccc1330f000f,d2f2d3d3e2d280fc,80c0ccc8c1331f8d

Scan History

Scan history not available

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