Security Scan Report: mylovesofia-mjt2kxb7ty.edgeone.app

Submitted: Feb 10, 2026, 9:51:44 PMCompleted: Feb 10, 2026, 9:53:15 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mylovesofia-mjt2kxb7ty.edgeone.app and was registered 3 years 4 months ago.

Submitted URL: https://mylovesofia-mjt2kxb7ty.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

No security concerns detected; site appears legitimate.

Safety Factors (5)
Well‑established domain age
Minimal risk category
No Indicators of Compromise
No malicious JavaScript detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

mylovesofia-mjt2kxb7ty.edgeone.appsecondary capture

Scan Type

public

Domain Name Analysis

You're looking at domain 'mylovesofia-mjt2kxb7ty.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'mylovesofia-mjt2kxb7ty'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Segmentation suggests 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://mylovesofia-mjt2kxb7ty.edgeone.app/

Page Load Overview

8.09s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:798 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
47%
adult content
38%

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

T1B5048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszy2bMy8Olde:xhoC9JSqzzbs6o3Sj3gcrsO2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184561:gF5xAAJWJLoFhclLOASi0BEkGHY22gAISRBU4AIBESECBAEFBHCJGkwhEYtwhAEATKhmqg4DkACN4lUErkwkOw7JFVkJQKAT

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:b331cccccc672363
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#864d2d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data