Security Scan Report: www.pattayamail.com

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Submitted: Jun 12, 2026, 8:48:54 AMCompleted: Jun 12, 2026, 8:50:07 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 2 HTTP transactions. The main domain is pattayamail.com and was registered NaN years ago.

Submitted URL: https://www.pattayamail.com/thailandnews/royal-household-bureau-princess-bajrakitiyabha-remains-in-critical-condition-with-low-blood-pressure-514833

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site is a legitimate news article with no signs of phishing, malware, or scam activity.

Safety Factors
Long‑standing domain registration
Self‑branding aligns with domain
Absence of forms collecting credentials or payments
No malicious JavaScript or external IoC activity
Page type is an article (og:type=article) reporting news
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by akamai_bot_manager bot protection. Our scanner was challenged or blocked during access.

Page Title

Royal Household Bureau: Princess Bajrakitiyabha remains in critical condition with low blood pressure - Pattaya Mail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(75%)

Domain Information

The domain 'www.pattayamail.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 11 characters in 'pattayamail' holding five vowels versus six consonants. Splitting it apart reveals 2 words: pattaya, mail. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.pattayamail.com/thailandnews/royal-household-bureau-princess-bajrakitiyabha-remains-in-critical-condition-with-low-blood-pressure-514833

Page Load Overview

15.85s
Total Load Time
320
HTTP Requests
51
Domains
7.3 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-US
Text Length:242,549 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical75% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
75%
news media journalism
63%
government public service
29%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34188.114.97.3United States
AS13335Cloudflare, Inc.
22104.18.18.62United States
AS13335Cloudflare, Inc.
2218.245.46.47United States
AS16509Amazon.com, Inc.
22142.251.14.155United States
AS15169Google LLC
22172.66.42.247United States
AS13335Cloudflare, Inc.
22142.251.20.97United States
AS15169Google LLC
22142.251.20.157United States
AS15169Google LLC
22104.17.200.65United States
AS13335Cloudflare, Inc.
22142.250.154.95United States
AS15169Google LLC
22203.137.133.37Japan
AS4694IDC Frontier Inc.
32014--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0B4DA70390FB63B176B5E4D3D709A1C12BBC744647372198BACC6106FDAA92EE1A707

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:VzpbUjjh0klYZvQvXh1OzzvwVJU6hTj8yoPHizTZ3YS/i93JcqOvOOFrk0n1k0Ut:0uquibuhAFjv27P6RZut76naHG5e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500012:fdiYIMwAZDgOk7KAEhgGQAjRalhAGqBQQgY0kEAZfIIaiCbQHLYkKZlCDkkRRIIEYwMAACgTLuukgEWYAah4HCZkQAsgrAAA

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:0010181818180303
Perceptual Hash:89562359d9a3d566
Difference Hash:b131b3b3b3b32b0b
Wavelet Hash:011d19393b3b0f8f
Color Hash:#291f93

Scan History

Scan history not available

Unable to load historical scan data