Security Scan Report: inland-turquoise-ax0tmxbgxx-iei8nwkmdj.edgeone.app

Submitted: Feb 3, 2026, 4:36:37 AMCompleted: Feb 3, 2026, 4:38:00 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is inland-turquoise-ax0tmxbgxx-iei8nwkmdj.edgeone.app and was registered NaN years ago.

Submitted URL: https://inland-turquoise-ax0tmxbgxx-iei8nwkmdj.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: 95%

0
Risk Score

Legitimate personal greeting page with no security concerns.

Safety Factors
Established domain age
Absence of malicious Indicators of Compromise
No credential or payment forms
No external links or redirects
Page content is non‑phishing personal message
Domain age information unavailable

Details

Page Title

Will You Be My Valentine?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(48%)

Domain Information

Domain 'inland-turquoise-ax0tmxbgxx-iei8nwkmdj.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'inland-turquoise-ax0tmxbgxx-iei8nwkmdj'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Word splitting yields 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://inland-turquoise-ax0tmxbgxx-iei8nwkmdj.edgeone.app/

Page Load Overview

3.24s
Total Load Time
2
HTTP Requests
1
Domains
1 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
Text Length:293 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical48% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
48%
news media journalism
34%
documentation technical
32%

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

T194A1419B9A930509512B92522FA707817570D543D94BCE583BEC2387EFC3D65BB03BB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBr9Iygf6quf0fHSy3B1uPq9rgf9WzS6iQ8Kt6/:Vrevy7f0fHSy38We6hiC0/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4883:CSASCgDwEAiMNQAUQWEAARgT0AgAAAGACPDQiCAAADgAECAAwkAQQBEQiWOiAoBABwQBGSAmEZNABBAA4AEUEGsACINCggOo

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:01031b1f1f1f071f
Perceptual Hash:884c3733cccc9b9b
Difference Hash:ffdff3b3b3fbdfff
Wavelet Hash:01031b1f1f1f1f1f
Color Hash:#d22d48

Other Hashes

Crop Resistant:ffdff3b3b3fbdfff

Scan History

Scan history not available

Unable to load historical scan data