Security Scan Report: www.mhorse.com

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Submitted: Jan 6, 2026, 4:39:30 AMCompleted: Jan 6, 2026, 4:41:05 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 109 HTTP transactions. The main domain is mhorse.com and was registered NaN years ago.

Submitted URL: https://www.mhorse.com

The Cisco Umbrella rank of the primary domain is #298,165 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security concerns.

Safety Factors
Long‑standing domain registration
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Standard hosting without suspicious redirection
Domain age information unavailable

Details

Page Title

Shenzhen Junge Technology Co., LTD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(59%)

Domain Information

The domain name 'www.mhorse.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 6 characters in 'mhorse' containing two vowels alongside four consonants. Tokenizing the label suggests 2 words: m, horse. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mhorse.com

Page Load Overview

26.41s
Total Load Time
92
HTTP Requests
2
Domains
19.9 MB
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:2,727 chars
Detector Agreement:67%

Website Classification

Primary Category

news media journalism59% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
59%
documentation technical
30%
entertainment media
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
92172.105.154.239Atlanta, Georgia, United States
AS63949Akamai Connected Cloud
921--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17213AC7259F11473058284D1EA712B1FBE82E61BC98B4A11B2EC5FC69FE2DE2CC1754D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7Aqi3/APFM4QlqbGheGviEV9cyjcuOIo/EuCrZ4o4vcmxnzGvZT1Jsp1lqi/YgSq:8pwQZCt26SmBOeRQrB74hxikj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43469:C2SWACISAQZBNRyYSAAGGOqB6RSQICkBiBMKgADbzCkInYEiY/wagATdAEuCFRCk1hEAgECCMBXKJAFGMAMkQ2p4MJkACRDc

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:ff88898888ffff81
Perceptual Hash:b919c6c43ec56a99
Difference Hash:cc3313131191406d
Wavelet Hash:ff80808888ffff81
Color Hash:#a187c5

Scan History

Scan history not available

Unable to load historical scan data