Security Scan Report: velabay.book-appointment.sg

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Submitted: Feb 7, 2026, 6:39:16 PMCompleted: Feb 7, 2026, 6:40:54 PMpubliccompleted
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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/templates_assets/css/images/ui-icons_777777_256x240.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>365 days)
No credential or payment collection
No malicious Indicators of Compromise
No suspicious redirects or external links
Page is a missing asset (404), not a phishing page
Domain age information unavailable

Details

Page Title

velabay.book-appointment.sg

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

The domain 'velabay.book-appointment.sg' uses the Singaporean country-code top-level domain (.sg) and includes subdomain 'velabay'. The core label 'book-appointment' covers 16 characters split between 6 vowels and 9 consonants; bonus characters include 1 hyphen. Splitting it apart reveals 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://velabay.book-appointment.sg/Content/templates_assets/css/images/ui-icons_777777_256x240.html

Page Load Overview

5.52s
Total Load Time
2
HTTP Requests
1
Domains
1 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
220.247.145.29Singapore, 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

T1DC048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8OldQ:VhoC9JSqzzbs6o3Sj3gcrsw2eAe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184718:FCERgCARjsqgAIBxQZbOUYVLjIIlzQgUA7nCEDQ9FUCjKEAJCAIgAjkETM5EESRQdXhRHAEAByhWIgRIIxmRhBEAwoIoiKMK

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:b333cccccc333323
Difference Hash:00101c1c00000000
Wavelet Hash:fcdcc0c0f0f0f0f0
Color Hash:#88ac53

Other Hashes

Crop Resistant:00101c1c00000000

Scan History

Scan history not available

Unable to load historical scan data