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Security Scan Report: cbfsfkjhgf.pages.dev

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Submitted: Mar 5, 2026, 7:43:58 AMCompleted: Mar 5, 2026, 7:45:17 AMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 13 domains to perform 106 HTTP transactions. The main domain is cbfsfkjhgf.pages.dev and was registered NaN years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

Page mimics Microsoft branding on a new pages.dev subdomain without login forms; moderate‑risk brand impersonation.

Risk Factors
Brand impersonation of Microsoft on a non‑official, unranked domain
New or unknown subdomain age (potentially freshly created)
Hosted on a free hosting platform (pages.dev) which is commonly abused for phishing
Safety Factors
No credential or payment collection forms detected
No malicious Indicators of Compromise matches
No JavaScript malware patterns or credential exfiltration observed
Page served over HTTPS (implicit from hosting platform)
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

(91%)

Domain Information

The domain name 'cbfsfkjhgf.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'cbfsfkjhgf'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.02s
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
323.52.181.212Germany
AS16625
120.250.198.32United States
AS20940
123.197.128.15Netherlands
AS13335
113.107.246.45UnknownUnknown
120.190.159.130UnknownUnknown
1172.66.44.189United States
AS13335Cloudflare, Inc.
123.36.162.222UnknownUnknown
120.190.159.73UnknownUnknown
113.107.246.44UnknownUnknown
120.44.10.123UnknownUnknown
1412--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE24D831F0B1B43A854F31F6D55A5718BB93E743D7859FF6B04E41282F82BA8AE43069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:e6i8pkoASwl9eSp/8Lgav43cH8LRfjQ5l0P4H:Hi8pkoASwl9eSpULg1Rfj6ln

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215246:bLjtyBJFZxEEADE4SBAIchAAZDIYiQ4NGAGhBwINIwOCYEFMMAEQsQqoAikSICDmUIEl5ACWgolwxTERiI7CCBBCfZQgkUQk

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:7f7c7858787fffff
Perceptual Hash:8000ffbf7cbe007a
Difference Hash:ecc0c1b1a3c00e0f
Wavelet Hash:3f7050004078ffff
Color Hash:#6c8de0

Other Hashes

Crop Resistant:ecc0c1b1a3c00e0f,00000000000000f8

Scan History

Scan history not available

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