Security Scan Report: will-you-be-my-valentine-my-queen-3vs96o4jkc.edgeone.app

Submitted: Feb 16, 2026, 5:58:28 AMCompleted: Feb 16, 2026, 6:00:12 AMpubliccompleted
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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 will-you-be-my-valentine-my-queen-3vs96o4jkc.edgeone.app and was registered NaN years ago.

Submitted URL: https://will-you-be-my-valentine-my-queen-3vs96o4jkc.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
Well established domain age
No malicious Indicators of Compromise
No credential or payment forms
Low ranking but not unranked
Domain age information unavailable

Details

Page Title

will-you-be-my-valentine-my-queen-3vs96o4jkc.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(66%)

Domain Information

Within the application-focused generic top-level domain (.app), 'will-you-be-my-valentine-my-queen-3vs96o4jkc.edgeone.app' is registered with subdomain 'will-you-be-my-valentine-my-queen-3vs96o4jkc'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://will-you-be-my-valentine-my-queen-3vs96o4jkc.edgeone.app/

Page Load Overview

13.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:864 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
44%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszi2bMy8Oldu:RhoC9JSqzzbs6o3Sj3gcrsO2eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184671:MwDCmPADFEqasABMKZ+yikSRAMjWTnCuSMXiAgZRsKwxHSmVg4ABygAkEKuJRJkRAcZFNCgIAGQIhARhDyiUEmKIyFLO8RWJ

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#d2c279

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data