Security Scan Report: lakesidegrand.book-appointment.sg

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Submitted: Feb 22, 2026, 2:39:27 AMCompleted: Feb 22, 2026, 2:40:55 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 lakesidegrand.book-appointment.sg and was registered NaN years ago.

Submitted URL: https://lakesidegrand.book-appointment.sg/Content/microsites_assets/css/owl.video.play.html

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Standard hosting without IPFS or cloud storage
Domain age > 2 years
No credential or payment fields
No cross‑origin credential exfiltration
No network IDS alerts
Domain age information unavailable

Details

Page Title

lakesidegrand.book-appointment.sg

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'lakesidegrand.book-appointment.sg' uses the Singaporean country-code top-level domain (.sg); it also runs on subdomain 'lakesidegrand'. Count 16 characters in 'book-appointment' holding 6 vowels versus 9 consonants, along with 1 hyphen. Word splitting yields 2 words: book, appointment. Median word length is 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lakesidegrand.book-appointment.sg/Content/microsites_assets/css/owl.video.play.html

Page Load Overview

6.17s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:267 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T13C048F773296063986558498F05B83099F21B143F506C9BCB9BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8Oldt:ZhoC9JSqzzbs6o3Sj3gcrsY2eAH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184703:AxoCaQ0IQTEFEBdiApWBgeSwbRqCRQ4CANzHpJMEOIBMSAIpkSA4RMbiYEIngELojAgWKUTgpBY3CPYeAIJKAjIkxAQqA2KB

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:ffcfc3c3ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03030f0f0f0f
Color Hash:#acbf40

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data