Security Scan Report: gobeavercountyhugo-vw19kiqks4.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 14 domains to perform 19 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://gobeavercountyhugo-vw19kiqks4.edgeone.app/13635-wendy-moten.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

The site is a low‑risk article page with no malicious forms or IoCs; caution advised due to unknown subdomain age and high JS obfuscation.

Risk Factors (3)
Unknown subdomain age (could be newly created)
Low Cisco Umbrella ranking (455,732) for the domain
High JavaScript obfuscation score (entropy, concatenation, unescape usage)
Safety Factors (4)
No forms collecting credentials or payments
No malicious Indicators of Compromise detected
Content appears to be a biographical article, not a phishing or scam page
No network IDS alerts or malware YARA matches
Domain age information unavailable

Details

Page Title

Wendy Moten

Scan Type

public

Domain Name Analysis

You're looking at domain 'gobeavercountyhugo-vw19kiqks4.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'gobeavercountyhugo-vw19kiqks4'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gobeavercountyhugo-vw19kiqks4.edgeone.app/13635-wendy-moten.html

Page Load Overview

17.52s
Total Load Time
94 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:2,726 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
healthcare medical
29%
education learning
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.217.208.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2104.18.10.207United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C421A33AB51042C67228985A292B27C7E3BA01BCBD58CAC60FDD7FD47C66C7597E104

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMehnYf8zX+dmJKJhlzrVOLV9PVzYrWag4MDoq2:bQehnz+dFlz5OLV9tYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13084:rJ4gFHMVYZYNNKAuAAIhCQCnQIIgAoiS0SAAIFlRE6QPVCRA8iBKkgAtrRgJigQQOiBkUXqiBUg+0AjiKsIsEGhADQAAAhIg

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:e7dfc3c3c3cfffff
Perceptual Hash:b436c33224e3e367
Difference Hash:0e201616161e000c
Wavelet Hash:e69ec28282c2fee6
Color Hash:#d2e06c

Other Hashes

Crop Resistant:0e201616161e000c

Scan History

Scan history not available

Unable to load historical scan data