Security Scan Report: ivecoaifositus-4g32i8piwg.edgeone.app

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Submitted: May 22, 2026, 12:27:40 PMCompleted: May 22, 2026, 12:29:08 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is ivecoaifositus-4g32i8piwg.edgeone.app and was registered NaN years ago.

Submitted URL: https://ivecoaifositus-4g32i8piwg.edgeone.app/3087-mary-pat-christie-biography-age-height-husband-net-worth-family.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk article page with no phishing or malware indicators; safe for normal browsing.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain reputation ranking
High JavaScript obfuscation score (indicative of heavy minification)
Safety Factors
No forms collecting credentials or payments
Page type identified as an article (og:type="article")
No network IDS alerts or malicious JavaScript patterns
Domain age information unavailable

Details

Page Title

Mary Pat Christie Biography, Age, Height, Husband, Net Worth, Family

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(53%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ivecoaifositus-4g32i8piwg.edgeone.app' is registered and includes subdomain 'ivecoaifositus-4g32i8piwg'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. It segments into two 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://ivecoaifositus-4g32i8piwg.edgeone.app/3087-mary-pat-christie-biography-age-height-husband-net-worth-family.html

Page Load Overview

12.08s
Total Load Time
18
HTTP Requests
13
Domains
31 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:4,134 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
53%
adult content
51%
education learning
49%
healthcare medical
48%
news media journalism
45%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.66.169.241United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
2172.240.253.132United States
AS7979Servers.com, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
188--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14962EA7BE941113CE7E282A6A48176FC7D29C416D3E2D8B9FDCCE7540B823C75A696C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqM4hnYf8zX+6gJ/cOycJNfiS7HzYTdag4lDw:bQ4hnz+6gJUOycN6SfYTdag4xw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15406:EGwVLWKQBppNRpIFsACUgwTAQUAsCqgTAmhRAccTNyBjkwqAYpuSNkIgNZn5gkRrSAgSQRoBkiGYOlqEoAwkv8wICyQAKAYZ

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:81c3c3c3c3c3cfff
Perceptual Hash:b42ecb3a4b4a2e4b
Difference Hash:0f16161616161640
Wavelet Hash:00c3c3c3c3c3c3ff
Color Hash:#9353ac

Other Hashes

Crop Resistant:0f16161616161640

Scan History

Scan history not available

Unable to load historical scan data