Security Scan Report: adamtmcclurehugo-e5s0z8kh14.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 15 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://adamtmcclurehugo-e5s0z8kh14.edgeone.app/23598-dr-wellington-garca.html

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

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site impersonates a major brand without collecting credentials, is hosted on a newly‑created subdomain with low reputation, and shows high JS obfuscation – moderate risk, avoid providing personal data.

Risk Factors (4)
Brand impersonation on low‑reputation domain
Unknown subdomain age (potentially newly created)
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation
Safety Factors (5)
No login or payment forms
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No network IDS alerts
Content appears to be an article (og:type=article)
Domain age information unavailable

Details

Page Title

Dr. Wellington Garca

Scan Type

public

Domain Name Analysis

You're looking at domain 'adamtmcclurehugo-e5s0z8kh14.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'adamtmcclurehugo-e5s0z8kh14'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. It segments into two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adamtmcclurehugo-e5s0z8kh14.edgeone.app/23598-dr-wellington-garca.html

Page Load Overview

12.71s
Total Load Time
97 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,830 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
45%
corporate
35%
adult content
27%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.67.150.240United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2142.251.127.94United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.66.169.241United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
209--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5723A37E780012D5B23419661C9F3AD7F25852DC7A19878B8DCDB6D0B83DC78DB6A88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMDhnYf8zX+ckJKJgrSyTYFxJcYavzYrWag4MDoq2:bQDhnz+curSwYNcHLYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17417:MAlISQAIKIohgmQQMzyWbUE14MIBikA4gA0MCC4BgBJhWGUcsqoIM2IogRjEkA0TAgQoLTACAmGSiLYAtFAeSgTQhDJ4pNmC

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:c3dfffc3c3c3c3c3
Perceptual Hash:bccf8a3a2c6147c3
Difference Hash:3a3006161e161636
Wavelet Hash:81dedec2c2c3c3c3
Color Hash:#abc587

Other Hashes

Crop Resistant:3a3006161e161636

Scan History

Scan history not available

Unable to load historical scan data