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Security Scan Report: www.klook.com

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Submitted: Oct 5, 2025, 4:48:07 PMCompleted: Oct 5, 2025, 4:49:13 PMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 12 domains to perform 108 HTTP transactions. The main domain is klook.com and was registered NaN years ago.

Submitted URL: https://www.klook.com/blog/shanghai-masters/

The Cisco Umbrella rank of the primary domain is #39,333 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain registration date (2005‑11‑15)
Absence of credential or payment collection fields
No malicious Indicators of Compromise detected
Standard hosting without suspicious cloud storage or IPFS usage
Domain age information unavailable

Details

Page Title

Shanghai Masters 2025: Tickets, Match Schedule & Travel Tips - Klook Travel Blog

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(40%)

Domain Information

The domain name 'www.klook.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 5 characters in 'klook' split between two vowels and three consonants. Word splitting yields 2 words: k, look. Average segment length settles at 2.5 characters. The linguistic tilt is Czech for 'k'. It also appears in Slovak and English contexts. Taken together, it feels Czech.

Screenshot

Security scan screenshot of https://www.klook.com/blog/shanghai-masters/

Page Load Overview

6.25s
Total Load Time
108
HTTP Requests
12
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:18,564 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism40% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
40%
corporate
35%
news/blog
20%

Detected Features

OG: index
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.18.30.170United States
AS13335CLOUDFLARENET
313.32.99.128New York, New York, United States
AS16509AMAZON-02
33.69.193.42Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
313.32.99.78New York, New York, United States
AS16509AMAZON-02
334.111.170.216Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
313.32.121.25New York, New York, United States
AS16509AMAZON-02
313.32.121.54New York, New York, United States
AS16509AMAZON-02
3142.250.185.232United States
AS15169GOOGLE
3104.18.31.170United States
AS13335CLOUDFLARENET
33.78.137.250Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
10834--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16644D5A032A8563E153783D9B120BF08F75AA24BF6C55CE0B7AC4EE58FD7C766806057

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:PMUfA8+9iBiT49JB3a3AEB/h5IIdq8wLtpgB6g:fETkr3a3AEB/h5IIdq8wLtG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:255946:EhCiYRkIAzoopUokBIRAspEs5BJDKJ4DoAgMNYAEMCpYYSAAJxxDED2pQJGwmqcs1igiYRGkACAAREEwAgJwUEaBDIAIgSQn

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:e7e7ffe7e7ffc7c7
Perceptual Hash:f3c68c672399cc32
Difference Hash:0c0c144c4c181e1e
Wavelet Hash:26260226e6e6c2c2
Color Hash:#5375ac

Other Hashes

Crop Resistant:0c0c144c4c181e1e,dccc27606466ad4c

Scan History

Scan history not available

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