Security Scan Report: granddunman.book-appointment.sg

Submitted: Feb 22, 2026, 10:51:57 AMCompleted: Feb 22, 2026, 10:53:31 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is granddunman.book-appointment.sg and was registered NaN years ago.

Submitted URL: https://granddunman.book-appointment.sg/Content/templates_assets/css/images/ui-icons_cc0000_256x240.html

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware or suspicious behavior
Domain age information unavailable

Details

Page Title

granddunman.book-appointment.sg

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

The domain name 'granddunman.book-appointment.sg' uses the Singaporean country-code top-level domain (.sg); it also runs on subdomain 'granddunman'. Its registrable label 'book-appointment' stretches across 16 characters split between 6 vowels and 9 consonants; it also includes one hyphen. It segments into 2 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://granddunman.book-appointment.sg/Content/templates_assets/css/images/ui-icons_cc0000_256x240.html

Page Load Overview

1.46s
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
220.43.132.131Singapore, 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

T104048F77329A063986558498F05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszkkyVDQwQ3in2bMy8Oldm:ahoC9JSqzzbs6o3Sj3gcrsYkyVDQwQ3M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184738:QCxIEAECLoA4BhFqADEghMaBIR6DCIBATCwCMdgKEAozkdItMIiiKj0ALCEgAAASYKREhzgADwJKkywSTFyAdQoGwADCQCOF

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:00100c1c00000000
Wavelet Hash:fcdcc0c00f0f0f0f
Color Hash:#2dd272

Other Hashes

Crop Resistant:00100c1c00000000

Scan History

Scan history not available

Unable to load historical scan data