Security Scan Report: mh-native-teasers.netlify.app

Submitted: Jan 10, 2026, 6:23:49 PMCompleted: Jan 10, 2026, 6:25:05 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 15 HTTP transactions. The main domain is mh-native-teasers.netlify.app and was registered NaN years ago.

Submitted URL: https://mh-native-teasers.netlify.app

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
Absence of suspicious forms or data collection fields
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Document

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(80%)

Domain Information

Domain 'mh-native-teasers.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'mh-native-teasers'. The core label 'netlify' covers 7 characters holding two vowels versus five consonants. Segmentation suggests three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mh-native-teasers.netlify.app

Page Load Overview

5.23s
Total Load Time
13
HTTP Requests
2
Domains
188 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:570 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media80% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
80%
news media journalism
77%
documentation technical
66%
government public service
34%
travel tourism
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6104.18.32.180United States
AS13335CLOUDFLARENET
132--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165F1EE00379FEC1E909B09D9E9962D2519FF4F32A0048691F92F1FF60F7699C962362D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Lxy2lujGmDhnK37EL4iAZD2kLSqaTZMjUpsiiRaqasqCqkk/O2OyASeiqC6eSUmK:tLnjSnxb7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7724:wlUGzipkAFgGgIiiBhFIa8EGSNECAhDsIgAIBAggwosKQIYiA9ZQQCAOgQQzkASdQGTMAkJUsKWrDpxVyACkjAARCY0rkJ6C

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:dfc3c3c3e3ffffff
Perceptual Hash:b0389acfdf383838
Difference Hash:b09696960e061212
Wavelet Hash:dcc0c0c0c0c0c0c0
Color Hash:#79c8d2

Scan History

Scan history not available

Unable to load historical scan data