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Security Scan Report: vfgtrd-k5m.pages.dev

Redirected to: https://vfgtrd-k5m.pages.dev/

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Submitted: Feb 28, 2026, 1:05:12 AMCompleted: Feb 28, 2026, 1:06:20 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 14 domains to perform 1 HTTP transaction. The main domain is vfgtrd-k5m.pages.dev and was registered NaN years ago.

Submitted URL: http://vfgtrd-k5m.pages.dev/

Effective URL: https://vfgtrd-k5m.pages.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

Page mimics Microsoft on a new pages.dev subdomain without credential collection; moderate risk.

Risk Factors
Brand impersonation of Microsoft on a non‑official domain
New/unknown subdomain age on a free hosting platform
Unranked domain increasing suspicion
Safety Factors
No malicious Indicators of Compromise found
No password, email, or payment fields present
No JavaScript malware patterns detected
No network IDS alerts
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

Within the developer-focused generic top-level domain (.dev), 'vfgtrd-k5m.pages.dev' is registered, featuring subdomain 'vfgtrd-k5m'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://vfgtrd-k5m.pages.dev/

Page Load Overview

0.81s
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
423.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
120.190.159.128Germany
AS20940
113.107.246.44Germany
AS13335
1146.75.121.91GermanyUnknown
123.197.128.15GermanyUnknown
120.250.198.32GermanyUnknown
113.107.213.44GermanyUnknown
12.18.64.214GermanyUnknown
120.190.160.65GermanyUnknown
123.67.142.13Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1512--

Detected Technologies2

JQueryv1.9.1
100%
Microsoft Ajax Content Delivery Network
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15814B731F0F1B53A868F31FAE5595755BA93EB8397848FF2B08E45181F82798AF03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1nzTypyyivHDms0Ns0B3V0/KKVEBopgzBP4UQK/Q/B9G3cYJ9lBnRfWDRT3nzE9z:8Biqsssi0CUEqpPfHIImvqAxeW5l0A4A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198720:Z4IJJoPAMBIlSOKIQEUCECIPGNhgKoKCAAjACBnlAMhAAAfSAzALIxEMIYIEpomHCGBQjJFBsMsEEgRShUEGTZLEE4GCBCBG

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:#40bf82

Other Hashes

Crop Resistant:81c4c8813f490861,d2d2d3f3c28204fc,80c0ccc881731f89

Scan History

Scan history not available

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