ScanMalware.com

Security Scan Report: 3csvrdtryuniom.pages.dev

Redirected to:
https://3csvrdtryuniom.pages.dev/
Submitted: Apr 25, 2026, 3:42:57 PMCompleted: Apr 25, 2026, 3:44:06 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 11 domains to perform 1 HTTP transaction. The main domain is 3csvrdtryuniom.pages.dev and was registered NaN years ago.

Submitted URL: http://3csvrdtryuniom.pages.dev/

Effective URL: https://3csvrdtryuniom.pages.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

The site pretends to be Microsoft on an unknown .pages.dev subdomain, showing high risk of brand impersonation phishing.

Risk Factors
Brand impersonation on unranked domain
Unknown subdomain age
High JavaScript obfuscation
Use of Microsoft branding without authorization
Safety Factors
No Indicators of Compromise matched
No network IDS alerts
No credential exfiltration detected
No malicious YARA patterns
Established domain (2061 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

The domain '3csvrdtryuniom.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain '3csvrdtryuniom'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://3csvrdtryuniom.pages.dev/

Page Load Overview

0.82s
Total Load Time
15
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
651.11.192.48Germany
AS16625
123.197.128.15Germany
AS20940
120.250.198.32Germany
AS13335
1188.114.97.3United States
AS13335Cloudflare, Inc.
140.126.31.1GermanyUnknown
1146.75.121.91GermanyUnknown
120.190.159.71GermanyUnknown
1150.171.109.101GermanyUnknown
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
123.36.162.222GermanyUnknown
1510--

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

T120044F35F170A837928F32F6D250678AB85BE7D3E5859FC0B1DD85241F82BA5AF23058

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:aiVUSQjdXp/OlqNz+KO0T/d70z9ximx+a9NVLwaBS0iVArn2xncgtMDmvqARXmtf:LVQjdXp/OlqNz+KO0T/d70z9ximx+a9j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183670:EABZPIAo8YUWGHGo0gEakIIiAwUQJjChAVIoIfWPhYnyEa6CReEQoEigLQAJIyCAQQlSCQFKmSAC8HgAUGIbKHDWUKUCLCAE

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:#a240bf

Other Hashes

Crop Resistant:8002234784480a66

Scan History

Scan history not available

Unable to load historical scan data