Security Scan Report: ondescibihugo-b4sp9drk8o.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 13 domains to perform 21 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://ondescibihugo-b4sp9drk8o.edgeone.app/24861-gbbos-prue-leith-81-reveals-biggest-health-fear-following-serious-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; lack of forms and malicious indicators outweighs the unknown subdomain age and low ranking.

Risk Factors (3)
Unknown subdomain age
Low domain reputation ranking
High JavaScript obfuscation score (though not malicious)
Safety Factors (3)
No forms collecting credentials or payments
No malicious IoC or YARA matches
Content classified as news article
Domain age information unavailable

Details

Page Title

GBBO's Prue Leith, 81, reveals biggest health fear following serious accident

Scan Type

public

Domain Name Analysis

You're looking at domain 'ondescibihugo-b4sp9drk8o.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'ondescibihugo-b4sp9drk8o'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ondescibihugo-b4sp9drk8o.edgeone.app/24861-gbbos-prue-leith-81-reveals-biggest-health-fear-following-serious-accident.html

Page Load Overview

12.75s
Total Load Time
68 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:2,831 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
60%
healthcare medical
59%
entertainment media
56%
adult content
55%
phishing scam
55%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.14.95United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
218--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15752FA27FA8052281BB205C4A4C5B76E75BDC025E3028CD4FAE8B735A7C67DF05796C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GMhnYf8zX+bEJKJg/6S7698VX2FFYYrWag4MDoq+:FMhnz+bKB2GX2FmYrWag4Aoq+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13878:aJCA5IgKKBwITEQwmiGEJmABIDChFgwi0iIQQWDtR9iG3KixQoVIVCkdBEAwIAAwW5r+C2VwAdAkIMiRFjC5UJgAYOQHSMVA

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:3c303c7c3c000018
Perceptual Hash:c963cd3398369c36
Difference Hash:f0c0c4c0c8f000b2
Wavelet Hash:7c787e7e7e380018
Color Hash:#c287c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data