Security Scan Report: www.triphobo.com

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Submitted: Nov 3, 2025, 8:29:24 AMCompleted: Nov 3, 2025, 8:30:47 AMpubliccompleted
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Summary

This website contacted 160 IPs in 7 countries across 48 domains to perform 109 HTTP transactions. The main domain is triphobo.com and was registered NaN years ago.

Submitted URL: https://www.triphobo.com/places/macau-macao

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Macau Tourism, Macao | Macau Trip Planner, Macau Travel Guide & Tips: Triphobo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(98%)

Domain Information

The domain name 'www.triphobo.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 8 characters in 'triphobo' split between 3 vowels and 5 consonants. Splitting it apart reveals 2 words: trip, hobo. Median word length is four characters. 'trip' most often appears in English. It also appears in Chinese (Pinyin) and Dutch contexts.

Screenshot

Security scan screenshot of https://www.triphobo.com/places/macau-macao

Page Load Overview

28.05s
Total Load Time
109
HTTP Requests
48
Domains
1.9 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:5,567 chars
Detector Agreement:60%

Website Classification

Primary Category

gambling betting98% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
98%
travel tourism
66%
entertainment media
44%

Detected Features

OG: place
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10969.166.1.66United States
AS27630AS-XFERNET
064.233.167.156United States
AS15169GOOGLE
0151.101.2.186San Francisco, California, United States
AS54113FASTLY
035.186.253.211United States
AS396982GOOGLE-CLOUD-PLATFORM
0104.18.27.193United States
AS13335CLOUDFLARENET
099.84.152.38United States
AS16509AMAZON-02
091.228.74.166United Kingdom
AS16509AMAZON-02
0104.79.89.214Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
091.228.74.159United Kingdom
AS16509AMAZON-02
069.173.144.139Frankfurt am Main, Hesse, Germany
AS26667RUBICONPROJECT
109160--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEA48E55B7503F3D14238165F7E2BAC9362A0437A3126DFAF17F16B04B4A49E0A33E96

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:3BmHMdqqNsRMOJqjFNTeKLLoo0f706+rtvAXexXt08I4TLtIE:3BmHMC4jFNhoNYFtvAXZo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:458190:gHWoAAA4RoKwKQNnJDxmIEgwoWglNUAsiCaJM0LwoRJQKkGhYIssDECGJoX0IDLRdCJVkASACQDhUAkMdAgUcFQCjkA8TFAU

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:00ffe7e7e7f3ff00
Perceptual Hash:b67349cc26636333
Difference Hash:19080f0f0f173637
Wavelet Hash:00ffe3c7c7c3d300
Color Hash:#bad22d

Scan History

Scan history not available

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