ScanMalware.com

Security Scan Report: ememyblog-9tgsdxl4f7.edgeone.app

Submitted: May 23, 2026, 2:33:07 AMCompleted: May 23, 2026, 2:35:54 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 12 HTTP transactions. The main domain is ememyblog-9tgsdxl4f7.edgeone.app and was registered NaN years ago.

Submitted URL: https://ememyblog-9tgsdxl4f7.edgeone.app/14718-what-happened-to-aunt-bee-from-the-andy-griffith-show.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%

3
Risk Score

The site appears to be a low‑risk article page; lack of forms and malicious indicators keeps risk low despite unknown subdomain age and low ranking.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score (potentially suspicious code)
Safety Factors
No forms collecting credentials or payments
Page type is an article (og:type=article) – not impersonating a brand
No malicious external links or IoC matches
No IDS/Suricata alerts
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

What Happened to Aunt Bee from 'The Andy Griffith Show'?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(97%)

Domain Information

The domain 'ememyblog-9tgsdxl4f7.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ememyblog-9tgsdxl4f7'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests 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://ememyblog-9tgsdxl4f7.edgeone.app/14718-what-happened-to-aunt-bee-from-the-andy-griffith-show.html

Page Load Overview

90.21s
Total Load Time
7
HTTP Requests
5
Domains
4 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:395 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical97% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
97%
entertainment media
92%
news media journalism
79%
adult content
67%
government public service
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.20.8.223United States
AS13335Cloudflare, Inc.
0101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
0142.251.110.95United States
AS15169Google LLC
0104.18.10.207United States
AS13335Cloudflare, Inc.
0104.21.0.120United States
AS13335Cloudflare, Inc.
0142.251.110.94United States
AS15169Google LLC
0172.66.169.241United States
AS13335Cloudflare, Inc.
0172.240.253.132United States
AS7979Servers.com, Inc.
78--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC520937F981212C633102E964C2F2BCF9399427D3C798B8B59AF72947C26CB9476258

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMohnYf8zX+EsJ/cqyT0L66zYTdag4lDw:bQohnz+EsJUqyT02AYTdag4xw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13793:BwAIKQjwQNMMhwBAqZABpRDJYAIHwJwehSQaHUAIMLBTEgCYbYDDFkAoo5Ao0SABBUJcQZWNCC4Q0NIw4AGmHQwBDtIBAmMk

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:e7c7c3c3c3ffffff
Perceptual Hash:b430c7c32763c36b
Difference Hash:0c1e1e1e16000202
Wavelet Hash:80c28282c2fefefe
Color Hash:#aed22d

Other Hashes

Crop Resistant:0c1e1e1e16000202

Scan History

Scan history not available

Unable to load historical scan data