ScanMalware.com

Security Scan Report: z9mnjhy.pages.dev

Redirected to: https://z9mnjhy.pages.dev/

Submitted: Mar 24, 2026, 7:24:55 AMCompleted: Mar 24, 2026, 7:26:07 AMpubliccompleted
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Summary

This website contacted 11 IPs in 1 country across 14 domains to perform 134 HTTP transactions. The main domain is z9mnjhy.pages.dev and was registered NaN years ago.

Submitted URL: http://z9mnjhy.pages.dev/

Effective URL: https://z9mnjhy.pages.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Microsoft‑styled page on a pages.dev subdomain without login forms – moderate‑risk brand impersonation.

Risk Factors
Brand impersonation on a non‑official domain
Subdomain on free hosting platform with unknown age
Unranked domain in Cisco Umbrella
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise matches found
No JavaScript YARA malware patterns detected
No network IDS alerts triggered
Served over HTTPS (assumed from hosting platform)
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(91%)

Domain Information

The domain 'z9mnjhy.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'z9mnjhy'. The registrable portion 'pages' spans 5 characters with 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://z9mnjhy.pages.dev/

Page Load Overview

0.94s
Total Load Time
15
HTTP Requests
8
Domains
197 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
520.190.159.131Germany
AS16625
1188.114.97.3Germany
AS20940
123.36.162.222Germany
AS13335
163.140.62.210GermanyUnknown
120.190.160.65GermanyUnknown
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
120.42.73.30GermanyUnknown
113.107.246.44GermanyUnknown
1146.75.121.91GermanyUnknown
123.197.128.15GermanyUnknown
1511--

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

T1E344B831F0F1B43A824F31F6D5566754BB57EB8397848FF6B04E41281F82BA9AE03169

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/8i/skoArw+ALCp38eao7ojzv33cH8TX1N4qgUB75l0n4K:Ui/skoArw+ALCpse0OqgUnly

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:270873:BABcKB0KgBAoIG7AuCRk6woRAEKmAQOLhEDFSFTmCwCQA4QRykxWAvwt8RRABGWQWBBFJo5AAFsAsQAYFAIhUMpWwVhJSJYU

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:ff0101010103ffff
Perceptual Hash:aa2bd5c4c6d318ec
Difference Hash:4bfbbbeff7f70027
Wavelet Hash:ff0101010117ffff
Color Hash:#2d3486

Other Hashes

Crop Resistant:4bfbbbeff7f70027,f4d89cf6ea72f2da

Scan History

Scan history not available

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