Security Scan Report: b4bvgytr.pages.dev

Submitted: Mar 17, 2026, 10:11:04 PMCompleted: Mar 17, 2026, 10:12:14 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 13 domains to perform 1 HTTP transaction. The main domain is b4bvgytr.pages.dev and was registered NaN years ago.

Submitted URL: https://b4bvgytr.pages.dev/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site mimics Microsoft on a pages.dev subdomain; likely phishing – avoid and report.

Risk Factors
Brand impersonation on an unusual hosting platform subdomain
Unranked domain with no established reputation
Potentially new subdomain (age unknown) increasing phishing likelihood
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

The domain name 'b4bvgytr.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'b4bvgytr'. The core label 'pages' covers 5 characters holding 2 vowels versus three consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://b4bvgytr.pages.dev/

Page Load Overview

1.01s
Total Load Time
14
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
320.190.160.14United States
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
120.42.73.24Germany
1184.30.25.170Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
123.36.162.220UnknownUnknown
1146.75.121.91UnknownUnknown
140.126.31.1UnknownUnknown
123.197.128.15UnknownUnknown
113.107.213.45UnknownUnknown
120.250.198.32UnknownUnknown
1412--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17524D931F0B1F43A854F31F6D15A6719BA57E743D7858FF6B04E45282F82BA8AE03069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mNi1Xqs+QstkoAZwuP8Wpa8INKmvqAMe/5l0A4J:ki1X2DkoAZwuP8WpjINKmvqAMeBlW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224688:clCPgAwj8MAoCHAkEQD0mAFCBAlm1IAJA0GQwHgUQAQRsqkwsKiQIKALaBRSOAIMChDVEHkDK+GAVgMQROCBUZBEyCBA4GEh

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:#78513a

Scan History

Scan history not available

Unable to load historical scan data