Security Scan Report: bgfg-4.pages.dev

Submitted: Mar 8, 2026, 7:56:56 AMCompleted: Mar 8, 2026, 7:58:35 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 13 domains to perform 103 HTTP transactions. The main domain is bgfg-4.pages.dev and was registered NaN years ago.

Submitted URL: https://bgfg-4.pages.dev/

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site mimics Microsoft branding on a pages.dev subdomain without forms; moderate risk of phishing.

Risk Factors
Brand impersonation on a non‑official domain
Unranked domain with unknown subdomain age
Hosted on free hosting platform (.pages.dev) with brand mismatch
Safety Factors
No malicious Indicators of Compromise detected
No credential or payment forms present
No JavaScript malware patterns detected
No network IDS alerts
No external links
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

The domain name 'bgfg-4.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'bgfg-4'. The core label 'pages' covers 5 characters with two vowels and three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bgfg-4.pages.dev/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
58%
adult content
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.36.162.220United States
013.107.246.44United States
023.52.181.212United States
0146.75.121.91United States
023.197.128.15United States
013.69.116.104United States
088.221.169.152United States
020.190.160.67United States
020.250.198.32United States
040.126.31.1United States
112--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A724D831F0B1B43A854F31F6D55A5718BB93E743D7859FF6B04E41282F82BA8AE43069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bTixxkoASwl9eSp/8ppAav43cH8bRfjQ5l0P4j:XixxkoASwl9eSpUppAFRfj6lD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215246:JVOC5wABgJBwWAopORRCEAoRQEXcuIwQIgkLgCA5iURCAEVBIDYpksUAoRvpwgGgMCiAPMRO3Wi1DH+AAgEpobAUUEEpFIAE

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:ff1f1f1f1f1fffff
Perceptual Hash:9c1ce3e3e3f208e1
Difference Hash:7c303434f0b00e0f
Wavelet Hash:1f1c1c00101effff
Color Hash:#b2d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data