Security Scan Report: y3sdew.pages.dev

Redirected to: https://y3sdew.pages.dev/

Submitted: Mar 18, 2026, 2:41:46 PMCompleted: Mar 18, 2026, 2:43:11 PMpubliccompleted
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Summary

This website contacted 11 IPs in 1 country across 14 domains to perform 1 HTTP transaction. The main domain is y3sdew.pages.dev and was registered NaN years ago.

Submitted URL: http://y3sdew.pages.dev/

Effective URL: https://y3sdew.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Microsoft – AI, Cloud, Productivity, Computing, Gaming & Apps

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(63%)

Domain Information

The domain 'y3sdew.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'y3sdew'. The second-level label 'pages' is 5 characters long 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 http://y3sdew.pages.dev/

Page Load Overview

6.23s
Total Load Time
8
HTTP Requests
4
Domains
409 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
Text Length:251 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical63% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
63%
technology software
51%
documentation technical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
820.50.80.210Germany
063.140.62.139Germany
023.36.162.222Germany
020.190.160.22GermanyUnknown
020.190.160.132GermanyUnknown
0146.75.121.91GermanyUnknown
013.107.246.44GermanyUnknown
0172.66.46.238GermanyUnknown
023.197.128.15GermanyUnknown
020.250.198.32GermanyUnknown
811--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18344C931F0F1B43A824F31F6D5566754BB57E78397848FF6B04E41281F82BA9AE03169

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oOiRRkoArw+ALCp38Zyo2oBzv33cH8TX1NWF76B+xiMJMxqgUh75l0n45:NiRRkoArw+ALCpsZlLqgUHlR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:270817:hkMkMSYFQIQgiIi4I5DTMILQGaYDEO1olAAEhCgNYxgmQ2LiRAEIKqyg5SGoAhHIFwATZC24Vl2BSGIECoUmSAMTIEUBh0EU

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:ff000000000dffff
Perceptual Hash:9516e68be8e423e3
Difference Hash:5c7cccb6bbfa0437
Wavelet Hash:ff0c0202000fffff
Color Hash:#a8e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data