Security Scan Report: adamtmcclurehugo-e5s0z8kh14.edgeone.app

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Submitted: May 18, 2026, 2:48:43 PMCompleted: May 18, 2026, 2:50:04 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 15 HTTP transactions. The main domain is adamtmcclurehugo-e5s0z8kh14.edgeone.app and was registered NaN years ago.

Submitted URL: https://adamtmcclurehugo-e5s0z8kh14.edgeone.app/23108-myrka-dellanos.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows no phishing, malware, or credential‑stealing activity; low risk despite unknown subdomain age and low ranking.

Risk Factors
Low Cisco Umbrella ranking (455,732)
Subdomain creation date unknown on a hosting platform
Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise or YARA detections
Content classified as news/media journalism with high confidence
Domain age information unavailable

Details

Page Title

Myrka Dellanos

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(87%)

Domain Information

The domain 'adamtmcclurehugo-e5s0z8kh14.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'adamtmcclurehugo-e5s0z8kh14'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Word splitting yields 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://adamtmcclurehugo-e5s0z8kh14.edgeone.app/23108-myrka-dellanos.html

Page Load Overview

12.55s
Total Load Time
19
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:4,058 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
87%
adult content
80%
entertainment media
77%
government public service
76%
forum community discussion
61%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2192.178.183.95United States
AS15169Google LLC
2188.114.96.3United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3520AA3EB80156D9B32028AA0C5B3BF7D258412D396CC7478ECD36E47C66C74929A98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMchnYf8zX+FLGo30JKJgNgILrZfzYrWag4MDoq2:bQchnz+FLGo3+NgaZ7YrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14459:UCSuJAiat9cMFLg3RBgQQUPcQBCAQAo6UDkgQUEQGqRDVgzBpkhjUhIgBQBJxgQjrLECRTEAwAFIXUgQKC+uGCgwaoMwIAIW

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:c3ffc7c3c3c3c3ff
Perceptual Hash:b48a8b386f256367
Difference Hash:2320061616161616
Wavelet Hash:81dfc2c2c2c2c2c7
Color Hash:#931f74

Other Hashes

Crop Resistant:2320061616161616

Scan History

Scan history not available

Unable to load historical scan data