Security Scan Report: adamtmcclurehugo-e5s0z8kh14.edgeone.app

Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 14 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/11664-big-brother-recap-season-24-episode-3-whole-house-attacks-taylor.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site; likely a benign article with no phishing or malware indicators.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (though not malicious)
Safety Factors (4)
Page marked as an article (og:type=article) – content reporting, not impersonation
No forms or credential collection mechanisms
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Big Brother Recap Season 24, Episode 3: Whole House Attacks Taylor

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'adamtmcclurehugo-e5s0z8kh14.edgeone.app' is registered, featuring subdomain 'adamtmcclurehugo-e5s0z8kh14'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. It segments into two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adamtmcclurehugo-e5s0z8kh14.edgeone.app/11664-big-brother-recap-season-24-episode-3-whole-house-attacks-taylor.html

Page Load Overview

12.78s
Total Load Time
101 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:15,562 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
54%
news media journalism
41%
adult content
40%
corporate
35%
government public service
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
2172.240.127.243United States
AS7979Servers.com, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
209--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151C23C27F38003395A634260E1DFF2FC7B19C039E357D668686E9639138799B873A5D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bQNhnz+ASJU7J6qDZEAcOBu1n0YMTWVVfR3OpYrWag4Aw:bFK7Jdf61n0NTsR3KYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27228:gQAEI4gTQSYABFQFhQAAixYhQHaBElxEisUBYmZEFAgSGIcJIhE0UmkghIlRIJTATAR4zMQNqwABKEIQJTBICgguCkIhABYM

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:c3cfe7c3c3c3c3df
Perceptual Hash:b4cfcb382a2ccb8a
Difference Hash:2e16161616161616
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#87c5c1

Other Hashes

Crop Resistant:2e16161616161616

Scan History

Scan history not available

Unable to load historical scan data