Security Scan Report: faber-residence.book-appointment.sg

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Submitted: Feb 20, 2026, 8:10:30 PMCompleted: Feb 20, 2026, 8:12:08 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 faber-residence.book-appointment.sg and was registered NaN years ago.

Submitted URL: https://faber-residence.book-appointment.sg/Content/templates_assets/css/images/ui-icons_444444_256x240.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)
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript or network alerts
Domain age information unavailable

Details

Page Title

faber-residence.book-appointment.sg

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

You're looking at domain 'faber-residence.book-appointment.sg' on the Singaporean country-code top-level domain (.sg) and includes subdomain 'faber-residence'. Count 16 characters in 'book-appointment' with six vowels and 9 consonants, plus 1 hyphen. It segments into two words: book, appointment. Median word length comes out to 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://faber-residence.book-appointment.sg/Content/templates_assets/css/images/ui-icons_444444_256x240.html

Page Load Overview

6.01s
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
220.212.64.7Singapore, 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

T1D6048F77329A063986558498F05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8Olds:OhoC9JSqzzbs6o3Sj3gcrso2eAy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184758:gSCtxgCFGACBFcmL2GCghUwTLIPBAwIeJDYAKBmAFJAdgBK8YhggFCyCBIBYPjRBiYUg0pC0jANhyo2BTBEACysSl7GlQAsd

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:3f1f03030f0f0f0f
Color Hash:#ac5366

Other Hashes

Crop Resistant:00100c1c00000000

Scan History

Scan history not available

Unable to load historical scan data