Security Scan Report: mnwaleedhhugo-x9bon5obzd.edgeone.app

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 13 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://mnwaleedhhugo-x9bon5obzd.edgeone.app/20462-meet-hong-kong-racings-slowest-horse-storm-kid-as-the-latest-loveable-loser-becomes-a-cult.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The page is an article with moderate suspicion due to unknown subdomain age and high JS obfuscation, but shows no phishing or malware activity.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation (potentially hidden code)
Safety Factors (4)
No forms collecting credentials or payments
No malicious Indicators of Compromise
Page marked as an article (og:type=article) – no brand impersonation
No network IDS alerts or malware YARA matches
Domain age information unavailable

Details

Page Title

Meet Hong Kong racings slowest horse Storm Kid, as the latest loveable loser becomes a cult

Scan Type

public

Domain Name Analysis

Domain 'mnwaleedhhugo-x9bon5obzd.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mnwaleedhhugo-x9bon5obzd'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mnwaleedhhugo-x9bon5obzd.edgeone.app/20462-meet-hong-kong-racings-slowest-horse-storm-kid-as-the-latest-loveable-loser-becomes-a-cult.html

Page Load Overview

27.00s
Total Load Time
147 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:7,932 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
documentation technical
34%
healthcare medical
27%
gambling betting
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.240.108.76United States
AS7979Servers.com, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2142.250.154.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19792FA53E280073C6B710258908AB6FDFE15C426D3618DF69CEBD32982465DF56B3ACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:5ihnYf8zX+y94Lnmk5EJKJVJ/cZ81WV1BG9IdCK31ruVinR4j70YYrWag4MDw:whnz+i+JUnkIdZ5uViKj7vYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19784:IwBIX2MoaczAIQAjJcSTQj0FQTBQB4EMnwiUUIFxVFEgieGQA6AHDhkeJbdkEtBQI2JKcBRAE0KBEi7GUqIgIWEGI8oKJoF4

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:0000003c202c00ff
Perceptual Hash:822ced47cd46ed0e
Difference Hash:e1c9c1d5d1c1c5c9
Wavelet Hash:38003c3c3c7c3cff
Color Hash:#3a7873

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data