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Security Scan Report: skyredvnblog-dp6y1i29ga9d.edgeone.app

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Submitted: Jun 18, 2026, 9:51:46 PMCompleted: Jun 18, 2026, 9:52:55 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is skyredvnblog-dp6y1i29ga9d.edgeone.app and was registered NaN years ago.

Submitted URL: https://skyredvnblog-dp6y1i29ga9d.edgeone.app/aha-wear-red-day-2026.html

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

AI Security Verdict

Low Risk

Confidence: 73%

2
Risk Score

Low‑risk informational article; no malicious forms, IoCs, or malware detected.

Risk Factors
High JavaScript obfuscation score (critical) without malicious behavior
Subdomain on hosting platform with unknown creation date
Safety Factors
Article type (og:type=article) – content is reporting, not phishing
No credential or payment fields present
No external form submissions or credential exfiltration detected
No IDS or network alerts
Domain age information unavailable

Details

Page Title

AHA Wear Red Day 2026: What to Expect and How to Participate

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(72%)

Domain Information

Domain 'skyredvnblog-dp6y1i29ga9d.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'skyredvnblog-dp6y1i29ga9d'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests 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://skyredvnblog-dp6y1i29ga9d.edgeone.app/aha-wear-red-day-2026.html

Page Load Overview

1.73s
Total Load Time
14
HTTP Requests
10
Domains
410 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:3,235 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
72%
government public service
71%
social media network
53%
forum community discussion
48%
news media journalism
44%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.167.125United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2142.251.127.95United States
AS15169Google LLC
145--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E362F927BE82412C2A330059A982F3FDB9795419E34ACCF5BCE4B33CA7867DB5971644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7phnYf8zX+0LlOgrNSQfneHPzHSw+Mnq3WborWag4MVQst:7phnz+0JOUNLeHPzHXq3/rWag4Wb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15281:xQRvBJhhX3oiALMFYIKUQth8VZGCBOAKUAkIEwsQTzEd4DxAoGWEwAiEiYBhJLh4AQAQhFEAgIMankm4wb/5VEAmC8MEAwSx

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:ffdfffffffdf8381
Perceptual Hash:bdc63992699269c3
Difference Hash:0c2c60120b3a3b33
Wavelet Hash:e786fefe81818381
Color Hash:#e06cd0

Other Hashes

Crop Resistant:0c2c60120b3a3b33,585050d272700888

Scan History

Scan history not available

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