Security Scan Report: ondescibihugo-b4sp9drk8o.edgeone.app

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Submitted: May 18, 2026, 2:31:33 PMCompleted: May 18, 2026, 2:32:51 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is ondescibihugo-b4sp9drk8o.edgeone.app and was registered NaN years ago.

Submitted URL: https://ondescibihugo-b4sp9drk8o.edgeone.app/23852-fans-accuse-mary-fitzgerald-of-photoshopping-emma-hernan-in-photo.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 informational article with no phishing or malware indicators, though the subdomain is newly created and low‑ranked.

Risk Factors
Subdomain creation date unknown (could be brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
Page type is article (og:type=article) – informational content
No forms or credential collection mechanisms
No malicious Indicators of Compromise or YARA detections
Domain age information unavailable

Details

Page Title

Fans Accuse Mary Fitzgerald of Photoshopping Emma Hernan in Photo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(64%)

Domain Information

Domain 'ondescibihugo-b4sp9drk8o.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ondescibihugo-b4sp9drk8o'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Segmentation suggests 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://ondescibihugo-b4sp9drk8o.edgeone.app/23852-fans-accuse-mary-fitzgerald-of-photoshopping-emma-hernan-in-photo.html

Page Load Overview

11.95s
Total Load Time
18
HTTP Requests
12
Domains
23 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:782 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
64%
corporate
35%
adult content
34%
government public service
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2188.114.97.3United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
188--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F132C633FD918028ABB64189A880F2FC392D8623F7424C9598B6E33BD6C67CB5936505

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pt6XmMhKMhQUaP4M3VomvPYf85ZEQV+igL7fgocg9aeg+0kJKJg/6njgHfVYYrWu:2GaMhnYf8zX+j7Dt0kJKJg/60fVYYrWu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11151:UIUrJyoBM1BfQVFUQNAVhUBeABiBFIg4UhEgI4FJDgUD1ATk8B1YTVCRAAjQeIRATRIhDgxIkKCKd04chiaglIIKqIGAKwIB

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:3c783c0000000018
Perceptual Hash:c963cd379c369832
Difference Hash:f0c0c8d0003000b2
Wavelet Hash:ff787eff00000c3c
Color Hash:#c5bb87

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data