Security Scan Report: lakesidegrand.book-appointment.sg

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Submitted: Feb 23, 2026, 5:16:24 PMCompleted: Feb 23, 2026, 5:18:02 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is lakesidegrand.book-appointment.sg and was registered NaN years ago.

Submitted URL: https://lakesidegrand.book-appointment.sg/Content/templates_assets/css/images/ui-icons_555555_256x240.html

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No malicious activity detected; the page is a harmless 404 response.

Safety Factors
Domain is well established (over 2 years old)
No credential or payment collection fields
No external malicious links or scripts
Page returns a standard 404 error
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

The domain name 'lakesidegrand.book-appointment.sg' uses the Singaporean country-code top-level domain (.sg); it also runs on subdomain 'lakesidegrand'. The second-level label 'book-appointment' is 16 characters long holding six vowels versus 9 consonants; bonus characters include 1 hyphen. Tokenizing the label suggests two words: book, appointment. Average segment length settles at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lakesidegrand.book-appointment.sg/Content/templates_assets/css/images/ui-icons_555555_256x240.html

Page Load Overview

1.25s
Total Load Time
2
HTTP Requests
1
Domains
32 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism44% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
44%
government public service
40%
healthcare medical
36%
phishing scam
34%
cryptocurrency blockchain
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.212.64.7Singapore, Singapore
AS8075Microsoft Corporation
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C01102B8191A90FC4231051FA51E36422488612629B0F607B8EB69BF28D1BB56623DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hVGHjg1BpHbxsjJ7QCdToh50lXQoLYlJl5M6bJLi3MbeT8RHLFg:hVGD69ejNQCRtgoLY95Mu56+eMHLFg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:702:AQAAAgAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAgAAAAQAAACAAAAAAAIAAARKAAAIAAAAAAAAAAAAAAAAAAAAA

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:ffffe7e7ffffffff
Perceptual Hash:e666999926666699
Difference Hash:08000c0c00000000
Wavelet Hash:fcfce4e4041c3c3c
Color Hash:#865b2d

Other Hashes

Crop Resistant:08000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data