Security Scan Report: couponsvibesitus-dpj3k52h9qwd.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 90%

2
Risk Score

Low‑risk article page; no phishing or malware indicators detected.

Risk Factors (2)
Unranked domain (weak signal)
Unknown sub‑domain creation date
Safety Factors (3)
Absence of forms that collect credentials or payment data
No malicious JavaScript or network alerts
Brand name appears only in informational context
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

You're looking at domain 'couponsvibesitus-dpj3k52h9qwd.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'couponsvibesitus-dpj3k52h9qwd'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Word splitting yields 2 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://couponsvibesitus-dpj3k52h9qwd.edgeone.app/aha-wear-red-day-2026.html

Page Load Overview

3.34s
Total Load Time
467 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: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
6172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2172.67.167.125United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
145--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A962E927BD82412C2A330056A981F3FDB9799419E349CCF67CE4B33CA7867DB5971644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7phnYf8zX+04lOfrNdPGneHPDHSw+Mnq3WborWag4MVhEH:7phnz+00OjNYeHPDHXq3/rWag4WS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15305:2J0qJI8A1dEUAmAUQMBMS9xcAxCRKMMIQG1iERUQiogIYRxI9C2ATkiOEBpoIAVDKEgQAEEIoqA41UkeAbqiu0QAOIHAkxI8

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:#3a7078

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data