Security Scan Report: beanbouncerblog-e6mojxr7yd.edgeone.app

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Submitted: May 24, 2026, 9:57:01 AMCompleted: May 24, 2026, 9:58:32 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is beanbouncerblog-e6mojxr7yd.edgeone.app and was registered NaN years ago.

Submitted URL: https://beanbouncerblog-e6mojxr7yd.edgeone.app/24025-channing-tatum-and-jenna-dewan-tatum-hit-the-beach.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; appears to be a benign news article with no phishing or malware indicators.

Risk Factors
Unknown subdomain age (could be brand‑new)
Low Cisco Umbrella ranking (455,732) for the subdomain
High JavaScript obfuscation score (though no malware patterns)
Safety Factors
No forms or credential harvesting mechanisms
No malicious Indicators of Compromise detected
No JavaScript malware signatures
Page classified as an article about public figures
Domain age information unavailable

Details

Page Title

Channing Tatum and Jenna Dewan Tatum Hit The Beach

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(44%)

Domain Information

The domain 'beanbouncerblog-e6mojxr7yd.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'beanbouncerblog-e6mojxr7yd'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Breaking it apart gives 2 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://beanbouncerblog-e6mojxr7yd.edgeone.app/24025-channing-tatum-and-jenna-dewan-tatum-hit-the-beach.html

Page Load Overview

24.16s
Total Load Time
17
HTTP Requests
13
Domains
30 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:578 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
44%
entertainment media
41%
news media journalism
38%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.154.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2104.18.10.207United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19432C833BE91113C7F66528561C5B27C6E3EE417E7878CB9B1ACB7248BC92CB5831605

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pzi69NgZqMws3VomvPYf85ZEQV+sXRqBDXR3OXRL0hRtJDInbbAxg0czYTdag4oo:brgqMZhnYf8zX+CoxeSbJKyFczYTdagK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11492:AJBMhZYUQrYKJAmKMQAAEYKhSAhBpQkyEwQgIUKgFiAjkkjtYhyFkkNhW23JiGAUAwRYwzOIEgOhiCIlMYBsEEoQFHMAACI0

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:c3c7c7ffffffffff
Perceptual Hash:f5303067c7c7c361
Difference Hash:0e1c1e0000000000
Wavelet Hash:008282fefefefe00
Color Hash:#3a4a78

Other Hashes

Crop Resistant:0e1c1e0000000000

Scan History

Scan history not available

Unable to load historical scan data