Security Scan Report: www.airbnb.com.my

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Submitted: Mar 7, 2026, 4:37:41 AMCompleted: Mar 7, 2026, 4:39:26 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is airbnb.com.my and was registered NaN years ago.

Submitted URL: https://www.airbnb.com.my

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is the legitimate Airbnb Malaysia domain with no security concerns.

Safety Factors
Established domain age
Brand and domain alignment
No suspicious forms or scripts
No Indicators of Compromise
Standard legitimate meta tags
Domain age information unavailable

Details

Page Title

Airbnb: Sewaan Percutian, Kabin, Rumah Pantai, Rumah & Pengalaman Unik

Scan Type

public

Language

🇮🇩

ID

(42% confidence)

Category

travel tourism

(45%)

Domain Information

The domain name 'www.airbnb.com.my' uses the Malaysian country-code top-level domain (.com.my) with subdomain 'www'. The second-level label 'airbnb' is 6 characters long split between 2 vowels and four consonants. Splitting it apart reveals three words: air, b, nb. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.airbnb.com.my

Page Load Overview

4.13s
Total Load Time
203
HTTP Requests
3
Domains
3.7 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:42%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:42%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:4,595 chars
Detector Agreement:80%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

travel tourism45% confidence
Type: static
Method: ml+structural

All Detected Categories

travel tourism
45%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6923.36.162.218Germany
6723.36.162.219Germany
6723.36.162.197Germany
2033--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3B419746044A57D07FBBB5A9AE33A2943F54A3B908328B2D0A5CE3511EFDED742324D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:AI0wtYmRontkdDso/V3A5OmEI4fYohNZHa/SDh7VmIvTE+xDsFsjeQb5WmmV/ySA:0w+GKRHbvw4wf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:495862:AKDFOGAkFSSAACWKBRgJT7OHZMwcQDQACMQwtIPARA5CSVIAgWTMxoUKwEEUwAALEUDAYQAUhgtBi3HCyCJIQEHAEBsAFgRm

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:ffff2400ff7f00ff
Perceptual Hash:edc5e1c5d23a9292
Difference Hash:82924c4180c04121
Wavelet Hash:fffb0000fe4200ff
Color Hash:#862d37

Other Hashes

Crop Resistant:82924c4180c04121

Scan History

Scan history not available

Unable to load historical scan data