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Security Scan Report: receipehubfave-s7ozhfsovi.edgeone.app

Submitted: May 21, 2026, 8:02:08 PMCompleted: May 21, 2026, 8:03:31 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 receipehubfave-s7ozhfsovi.edgeone.app and was registered NaN years ago.

Submitted URL: https://receipehubfave-s7ozhfsovi.edgeone.app/19391-blythe-danner.html

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

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

The page appears to be a harmless biography article, but unknown subdomain age and a weak IoC suggest moderate risk.

Risk Factors
Unknown subdomain creation date on hosting platform
Low Cisco Umbrella ranking (455,732) for the subdomain
Unverified IoC on a third‑party resource
Safety Factors
No forms collecting credentials or payment data
Page type is og:type=article, indicating informational content
No malicious YARA matches or IDS alerts
JavaScript makes no network calls or credential exfiltration
Domain age information unavailable

Details

Page Title

Blythe Danner

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(78%)

Domain Information

You're looking at domain 'receipehubfave-s7ozhfsovi.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'receipehubfave-s7ozhfsovi'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests 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://receipehubfave-s7ozhfsovi.edgeone.app/19391-blythe-danner.html

Page Load Overview

12.33s
Total Load Time
19
HTTP Requests
13
Domains
103 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:4,187 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
78%
adult content
73%
news media journalism
53%
finance banking
52%
phishing scam
47%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.127.244United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.240.127.243United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2142.251.20.94United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
198--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117621927FA40613C7F32426E648DF2FEBC24A016D3768C6464F5F36C86C26D75E6A684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uhnYf8zX+8VJ/cE8uyxC9Z19CZY5mag4gDw:uhnz+8VJUUyxC9Z16Y5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15246:sAJIJSIQTaBEwRIDJijgwUgFQEksYIBYgNgXQREFUDsAs0CIxB0opBCBAIag9ARCbFolEogEnmGAkEpkiBpEiVYMZgjAgIOB

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:00003c3c3c0000ff
Perceptual Hash:c343ad2d862ccf47
Difference Hash:cad0c0d4c0c01000
Wavelet Hash:607c7c7e7e0000ff
Color Hash:#c587a2

Other Hashes

Crop Resistant:0000000000000000,cbd0c0d0c0c01640

Scan History

Scan history not available

Unable to load historical scan data