Security Scan Report: roommateratinghugo-xa285gtyfr.edgeone.app

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Submitted: May 20, 2026, 6:23:59 AMCompleted: May 20, 2026, 6:25:26 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is roommateratinghugo-xa285gtyfr.edgeone.app and was registered NaN years ago.

Submitted URL: https://roommateratinghugo-xa285gtyfr.edgeone.app/15588-one-dead-in-grain-bin-accident.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears to be a low‑risk news article with no phishing or malware indicators, though the subdomain’s age is unknown.

Risk Factors
Unknown subdomain age
Low domain reputation ranking
Safety Factors
Page type is an article (og:type=article)
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Domain age information unavailable

Details

Page Title

One dead in grain bin accident

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(70%)

Domain Information

The domain 'roommateratinghugo-xa285gtyfr.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'roommateratinghugo-xa285gtyfr'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roommateratinghugo-xa285gtyfr.edgeone.app/15588-one-dead-in-grain-bin-accident.html

Page Load Overview

11.86s
Total Load Time
19
HTTP Requests
12
Domains
102 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:1,076 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
70%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
743.152.26.58Singapore
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.20.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
197--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB42F823E695182C773291CFB894F3BD78AEC427C3428DE854F5632AD7C2AD70D62589

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PI6c5Ii3VomvPYf85ZEQV+yQwpQHaqQIQvJKJnQWJ/c7YC8RxRuGZlYYrWag4ofM:ohnYf8zX+yvp+3gJKJnDJ/c38RxRHlYo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12052:MYCLkQAQGKtKgAjsBAJJR3QFwSpIWAVqBWgtBhhgRGRAkFDQtw4FAFAwII8gA0tAaAVT2AMBBGAAkzORIABWjQAhDBkAg86I

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:30003c00000000ff
Perceptual Hash:c747c66ccc4e8e1c
Difference Hash:60ced0d004800000
Wavelet Hash:ff707eb9000000ff
Color Hash:#d2a62d

Other Hashes

Scan History

Scan history not available

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