Security Scan Report: beanbouncerblog-e6mojxr7yd.edgeone.app

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Submitted: May 24, 2026, 11:57:04 AMCompleted: May 24, 2026, 11:58:23 AMpubliccompleted

This website contacted 8 IPs in 2 countries across 13 domains to perform 17 HTTP transactions. The main domain is beanbouncerblog-e6mojxr7yd.edgeone.app and was registered 3 years 4 months ago.

Submitted URL: https://beanbouncerblog-e6mojxr7yd.edgeone.app/283-what-happened-to-liz-cambage-zedblog.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 appears to be a low‑risk informational article with no phishing or malware indicators, though the subdomain is newly created and JavaScript is heavily obfuscated.

Risk Factors
High JavaScript obfuscation score
Low domain ranking
Safety Factors
Page type is article (og:type=article) – content is informational, not a login or payment page
No credential exfiltration or cross‑origin form submissions
No malicious IoC or IDS alerts
Domain age information unavailable

Details

Page Title

What Happened to Liz Cambage? - ZedBlog

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'beanbouncerblog-e6mojxr7yd.edgeone.app' is registered, featuring subdomain 'beanbouncerblog-e6mojxr7yd'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://beanbouncerblog-e6mojxr7yd.edgeone.app/283-what-happened-to-liz-cambage-zedblog.html

Page Load Overview

11.43s
Total Load Time
93 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:4,251 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
77%
entertainment media
76%
news media journalism
71%
blog personal website
64%
forum community discussion
61%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.110.94United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.18.10.207United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140620B37AA41223C2B62029A7086F3BCBA3DD027F74748F5B49D622C6BC15CFA577654

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMShnYf8zX+Cv4022J2y9W51uJxGKblGzYTdag4lDd:bQShnz+w3J2yM5oMYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15052:Go8AyAGUoZM/BFAxRORgAACSRSDAABiSAWQaAEHBWDALMFiAIqUk0sg9gQQJkyAwSWDG4TIgATAeAYAjK0MncgigIojIgAIi

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:c7cfc3c3c3c3ffff
Perceptual Hash:b430d3f364c76465
Difference Hash:1e1a161616160004
Wavelet Hash:c2c6c2c282c2fefe
Color Hash:#68ac53

Other Hashes

Crop Resistant:1e1a161616160004

Scan History

Scan history not available

Unable to load historical scan data