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Security Scan Report: adkstaghugo-686rfvbmiq.edgeone.app

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Submitted: May 19, 2026, 7:01:58 PMCompleted: May 19, 2026, 7:03:55 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 adkstaghugo-686rfvbmiq.edgeone.app and was registered NaN years ago.

Submitted URL: https://adkstaghugo-686rfvbmiq.edgeone.app/22557-caelynn-miller-keyes.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low risk page with no malicious indicators; likely benign content about a public figure.

Risk Factors
Subdomain age unknown (could be newly created)
High JavaScript obfuscation score (though no malware detected)
Safety Factors
No credential or payment forms
No malicious IoC or YARA detections
Page type is article, not a phishing login page
Hosting platform is a standard developer hosting service
Domain age information unavailable

Details

Page Title

Caelynn Miller-Keyes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'adkstaghugo-686rfvbmiq.edgeone.app' is registered with subdomain 'adkstaghugo-686rfvbmiq'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Segmentation suggests 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://adkstaghugo-686rfvbmiq.edgeone.app/22557-caelynn-miller-keyes.html

Page Load Overview

12.74s
Total Load Time
20
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:4,357 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
77%
news media journalism
69%
adult content
61%
documentation technical
55%
social media network
54%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.18.11.207United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2142.251.20.95United States
AS15169Google LLC
208--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
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

T1AF622A63E650113DBF2345B5A883B2BE7E39C016D3B68CB474D8B3688782ACB0D79554

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:znxqBzhnYf8zX+UAJKJbJ/cHJ0JBZmqyi8kYrWag4MDw:zQzhnz+UxJUHJwSqLYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15531:EnAVhjAGrBRQUgpTAIhAwEoo6CERxAiYlMABuHSmggpKyAAGAiUpywCAAATgQoAjQALsEJwTnjXgKyghHBwooAQ0ogBAAKgF

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:00000038383800ff
Perceptual Hash:8a28fd4add0afc1a
Difference Hash:614d696969696969
Wavelet Hash:0121013d3d3d3dff
Color Hash:#e0af6c

Other Hashes

Crop Resistant:614d696969696969,714d696969696969

Scan History

Scan history not available

Unable to load historical scan data