Security Scan Report: penrith.book-appointment.sg

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Submitted: Feb 22, 2026, 2:35:55 AMCompleted: Feb 22, 2026, 2:37:31 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 penrith.book-appointment.sg and was registered NaN years ago.

Submitted URL: https://penrith.book-appointment.sg/Content/templates_assets/css/images/ui-icons_777620_256x240.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; page simply returns a 404 error.

Safety Factors
Well‑established domain (761 days old)
No forms or data collection elements
No malicious Indicators of Compromise
No JavaScript malware or obfuscation concerns
Domain age information unavailable

Details

Page Title

penrith.book-appointment.sg

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

The domain 'penrith.book-appointment.sg' uses the Singaporean country-code top-level domain (.sg); it also runs on subdomain 'penrith'. The core label 'book-appointment' covers 16 characters with 6 vowels and nine consonants, plus one hyphen. Breaking it apart gives 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://penrith.book-appointment.sg/Content/templates_assets/css/images/ui-icons_777620_256x240.html

Page Load Overview

1.13s
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

T17D048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:afQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8Oldn:hhoC9JSqzzbs6o3Sj3gcrsg2eAR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184718:BAuY1YgghggkQIISYBeAVMOTABxgDMJQMl2GkIQ1WAEzFSgUAIAAoEGbSARmASCJFORRNImgtggWIK+RQQmQQAAEYUAGAL2S

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:#382dd2

Other Hashes

Crop Resistant:00101c1c00000000

Scan History

Scan history not available

Unable to load historical scan data