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Security Scan Report: bb-et6.pages.dev

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Submitted: May 5, 2026, 5:52:47 AMCompleted: May 5, 2026, 5:53:59 AMpubliccompleted
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Summary

This website contacted 10 IPs in 6 countries across 11 domains to perform 93 HTTP transactions. The main domain is bb-et6.pages.dev and was registered NaN years ago.

Submitted URL: https://bb-et6.pages.dev/

AI Security Verdict

Moderate Risk

Confidence: 88%

5
Risk Score

The site impersonates Microsoft on an unranked, likely newly created subdomain with suspicious obfuscated scripts, indicating a high‑risk brand‑impersonation scam.

Risk Factors
Unranked domain combined with brand impersonation
Unknown subdomain age (potentially newly created)
High JavaScript obfuscation and encoding techniques
Use of Microsoft CDN resources to lend false legitimacy
Absence of credential fields despite brand claims
Safety Factors
No Indicators of Compromise matched in threat intelligence databases
No JavaScript malware YARA patterns detected
No network IDS alerts reported
No credential exfiltration observed
No login or payment forms present
Established domain (2071 days old) with no strong malicious indicators — risk clamped from 7 to 5
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

You're looking at domain 'bb-et6.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'bb-et6'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Segmentation suggests 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bb-et6.pages.dev/

Page Load Overview

0.96s
Total Load Time
14
HTTP Requests
8
Domains
330 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
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
120.190.160.130Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
140.126.31.128Dublin, Leinster, Ireland
AS8075Microsoft Corporation
151.105.71.137London, England, United Kingdom
AS8075Microsoft Corporation
1104.126.37.185Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1150.171.109.101United States
AS8075Microsoft Corporation
120.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
1172.66.44.205United States
AS13335Cloudflare, Inc.
123.197.128.15Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145044F35F170A837928F32F6D250678AB85BE7D3A5859FC0B1DD85241F82BE5AF23058

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+iwbjdXp/OlqNq+KO0T/d70z9ximx+a9NVLwaBS0iVArn2xncgtukmvqApXmtm52:fwbjdXp/OlqNq+KO0T/d70z9ximx+a92

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:182982:ksSQCTQEMmFgpwDJAIpQMRHqK1Q0cDkJQkEJKccEOQO7QIg5iyEMiDkATIGjAlDKIutRjafAE6AJIdApIWYi0EZAw0EEgWIC

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:fef08020c0ffff33
Perceptual Hash:ef58a4d027982fd8
Difference Hash:8002234784480a66
Wavelet Hash:fce08000c0ffff33
Color Hash:#40bf59

Other Hashes

Crop Resistant:8002234784480a66

Scan History

Scan history not available

Unable to load historical scan data