ScanMalware.com

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

Site favicon
Submitted: May 24, 2026, 3:58:41 PMCompleted: May 24, 2026, 4:01:25 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is ememyblog-9tgsdxl4f7.edgeone.app and was registered NaN years ago.

Submitted URL: https://ememyblog-9tgsdxl4f7.edgeone.app/14648-katie-courics-kids-elinor-and-caroline-meet-her-children.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site appears to be a brand‑impersonation page (Instagram) on a newly created subdomain with low reputation and obfuscated scripts; avoid interaction.

Risk Factors
Brand‑domain mismatch (possible typosquatting)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Highly obfuscated JavaScript
Safety Factors
No login or payment forms
No detected credential exfiltration
No IDS/Suricata alerts
No malicious IoC matches
Domain age information unavailable

Details

Page Title

Katie Couric's Kids Elinor and Caroline: Meet Her Children

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Domain 'ememyblog-9tgsdxl4f7.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ememyblog-9tgsdxl4f7'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ememyblog-9tgsdxl4f7.edgeone.app/14648-katie-courics-kids-elinor-and-caroline-meet-her-children.html

Page Load Overview

90.23s
Total Load Time
11
HTTP Requests
8
Domains
26 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:3,533 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
social media network
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
1104.20.7.223United States
AS13335Cloudflare, Inc.
1104.21.0.120United States
AS13335Cloudflare, Inc.
1104.18.11.207United States
AS13335Cloudflare, Inc.
1192.178.183.95United States
AS15169Google LLC
1142.251.20.94United States
AS15169Google LLC
1104.20.23.96United States
AS13335Cloudflare, Inc.
1172.240.108.68United States
AS7979Servers.com, Inc.
118--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12962F937E981212CAA725196B0C5F2FC7E6EC026D3428CB4F899A75C4BC25D7667F344

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMEhnYf8zX+DJJdyEqMMBl40zYTdag4lDd:bQEhnz+DJJdyEqMK+GYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14595:IKCoBZiwMJYMDRQUFiEEJ2CdZHAASw3yABUAQ0eZcbZLESDhrCUAEwu1BSkIuAIYKmj6YRCSAEFAQQswYGEsEBoACKRBCGaw

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:e7c7c3c3c3c3ffff
Perceptual Hash:b432c326c3c365cf
Difference Hash:0c1e161e16161000
Wavelet Hash:c6c2c2c2c2c2defe
Color Hash:#5360ac

Other Hashes

Crop Resistant:0c1e161e16161000

Scan History

Scan history not available

Unable to load historical scan data