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

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Submitted: Feb 23, 2026, 9:58:36 AMCompleted: Feb 23, 2026, 10:00:22 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 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_ffffff_256x240.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; page is a harmless 404 on an established domain.

Safety Factors
Established domain (>2 years old)
No forms or data collection
No malicious Indicators of Compromise
HTTPS connection (secure transport)
Standard hosting without known bad reputation
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

Domain 'faber-residence.book-appointment.sg' uses the Singaporean country-code top-level domain (.sg) with subdomain 'faber-residence'. The registrable portion 'book-appointment' spans 16 characters with six vowels and 9 consonants, notching one hyphen. It segments into 2 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_ffffff_256x240.html

Page Load Overview

6.92s
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

T11C01102B8191A90FC4231051FA51E36422488612629B0F607B8EB69BF28D1BB56623DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hVGHjg1BpHbxsjJ7QCdToh50lXQoLYlJl5M6bJLi3MbeT8RHLFg:hVGD69ejNQCRtgoLY95Mu56+eMHLFg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:702:AQAAAgAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAgAAAAQAAACAAAAAAAIAAARKAAAIAAAAAAAAAAAAAAAAAAAAA

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:ffffe7e7ffffffff
Perceptual Hash:e666999926666699
Difference Hash:08000c0c00000000
Wavelet Hash:fcfce4e4041c3c3c
Color Hash:#87bdc5

Other Hashes

Crop Resistant:08000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data