Security Scan Report: willyouaccept-k9f1ekaurg.edgeone.app

Submitted: Feb 18, 2026, 6:48:38 PMCompleted: Feb 18, 2026, 6:50:00 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is willyouaccept-k9f1ekaurg.edgeone.app and was registered NaN years ago.

Submitted URL: https://willyouaccept-k9f1ekaurg.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>2 years)
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

willyouaccept-k9f1ekaurg.edgeone.app

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

healthcare medical

(58%)

Domain Information

The domain 'willyouaccept-k9f1ekaurg.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'willyouaccept-k9f1ekaurg'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Word splitting yields 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://willyouaccept-k9f1ekaurg.edgeone.app/

Page Load Overview

2.67s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:94 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical58% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
58%
government public service
41%
news media journalism
37%
education learning
29%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8OldK:UhoC9JSqzzbs6o3Sj3gcrsE2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:AUUTCKMMJeASaf2AYMQCEiGVgIAECBOpGJSMIB4iRQ8gAEIAMDhBEMJAIMg4ACcsUcRQKB471QIyJgTAGUJApNhoAdOJRajA

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000cf0f0f0f0
Color Hash:#7994d2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data