Security Scan Report: velabay.book-appointment.sg

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Submitted: Feb 8, 2026, 8:30:52 AMCompleted: Feb 8, 2026, 8:32:15 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 velabay.book-appointment.sg and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
Unranked status not combined with any other suspicious signals
Domain age information unavailable

Details

Page Title

velabay.book-appointment.sg

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'velabay.book-appointment.sg' uses the Singaporean country-code top-level domain (.sg) and includes subdomain 'velabay'. Count 16 characters in 'book-appointment' holding six vowels versus 9 consonants, notching 1 hyphen. Tokenizing the label suggests 2 words: book, appointment. Expect 7.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.52s
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
220.247.145.29Singapore, 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

T1CB048F77329A063986558498F05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Oldp:VhoC9JSqzzbs6o3Sj3gcrsQ2eAL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184673:dASikNgoasQAOPUACBMiASECBEgr2AeBYGEHqCsRwYCA3KEDI0yATgLMCK8I4ErSY1EDAEqQFOkKRAehWdSIITHKERCiRAIS

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:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:fcdcc0c0f0f0f0f0
Color Hash:#87b0c5

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data