ScanMalware.com

Security Scan Report: z13nbhgt.pages.dev

Redirected to: https://z13nbhgt.pages.dev/

Submitted: Mar 17, 2026, 8:16:37 PMCompleted: Mar 17, 2026, 8:17:45 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 13 domains to perform 129 HTTP transactions. The main domain is z13nbhgt.pages.dev and was registered NaN years ago.

Submitted URL: http://z13nbhgt.pages.dev/

Effective URL: https://z13nbhgt.pages.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Site mimics Microsoft branding on a pages.dev subdomain without login forms; moderate risk of brand impersonation.

Risk Factors
Brand impersonation on an unrelated hosting subdomain
Unranked domain with no established reputation
High JavaScript obfuscation (potential attempt to hide intent)
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise matches found
No network IDS alerts detected
Uses HTTPS and loads trusted Microsoft CDN resources
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

Domain 'z13nbhgt.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'z13nbhgt'. The second-level label 'pages' is 5 characters long containing two vowels alongside 3 consonants. Splitting it apart reveals one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://z13nbhgt.pages.dev/

Page Load Overview

1.16s
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
420.42.73.31Germany
AS16625
123.197.128.15Germany
AS20940
113.107.246.45Germany
AS13335
172.246.29.11GermanyUnknown
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
163.140.62.210GermanyUnknown
123.36.162.220GermanyUnknown
140.126.31.0GermanyUnknown
1146.75.121.91GermanyUnknown
140.126.31.130GermanyUnknown
1512--

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

T16444C931F0F1B43A824F31F6D5566754BB57EB8397848FF6B04E41281F82BA9AE03169

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sqim2koArw+ALCpVSkotoXzv33cH8TX1NNF76B+xiMJMfqgUB75l0n4h:9im2koArw+ALCpVSQiqgUnl5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:270392:1iJnBEjgoEAcSwjoMAGwBpyRAQLcGBjEgvBzCIHxwICBxhpIADDQREAAgAIF5mA8GKM4kBGBJK1UyiMAwEGJKJYQxCBqYA0A

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:9517e68be8e423e2
Difference Hash:5c7cccb6bbfa0437
Wavelet Hash:ff0c0202000fffff
Color Hash:#9653ac

Other Hashes

Crop Resistant:5c7cccb6bbfa0437,7c7cccbeb2bbfbea

Scan History

Scan history not available

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