Security Scan Report: mestogo-blog.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 26 IPs in 3 countries across 19 domains to perform 71 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://mestogo-blog.pages.dev/en/pet-friendly-restaurants-bangkok/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Legitimate self-branded travel blog on pages.dev; no credential/payment forms, no threat-intel or malware hits. Unknown subdomain age and minor redirect/eval signals keep it low risk.

Risk Factors (3)
Subdomain on shared hosting platform (pages.dev) with unknown actual creation date.
Seven cross-domain redirects detected.
Five eval() calls in JavaScript (dynamic code execution) without observed credential exfiltration.
Safety Factors (5)
Self-branded site: title and domain both reference MestoGo, not a different entity's brand.
og:type is article, consistent with editorial/blog content rather than a login or payment page.
No forms, no password fields, no payment fields, and no cross-origin form submissions.
No threat-intelligence matches, YARA malware, Safe Browsing hits, or phishing/malware IDS alerts.
Content reads as a genuine travel guide covering multiple named restaurants.
Domain age information unavailable

Details

Page Title

12 Pet-Friendly Restaurants in Bangkok Where Dogs Are Actually Welcome | MestoGo

Scan Type

public

Domain Name Analysis

The domain 'mestogo-blog.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'mestogo-blog'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. Splitting it apart reveals one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mestogo-blog.pages.dev/en/pet-friendly-restaurants-bangkok/

Page Load Overview

1.84s
Total Load Time
12.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,203 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
76%
education learning
67%
government public service
65%
adult content
64%
social media network
63%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21142.251.127.97Google · CDNUnited States
AS15169Google LLC
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.154Google · CDNUnited States
AS15169Google LLC
213.32.121.123Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2172.67.74.149Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
287.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
213.32.121.62Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2192.178.183.132Google · CDNUnited States
AS15169Google LLC
213.32.121.56Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
7126--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A852E723E264153B026783EE62CBF19DB5712086A115CD15316D8EFE1FC2AA10CF6FAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6wlNE7c/dbdepDZeUrC/Kzm8Er6YOk49H050eQRumkubMZ9yhVlP:vl1/dbdepD3C/Kzmn9Yxfh3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13540:fYENCQcgAiQAgAusAACA0LZFDNRVOeLgBggDQJCNAcyCWpFLeiHEI0CmYKAARiBExYQrRIlAmKPCGxMMUADAIQIXQQwCAOEs

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:000000000001ffff
Perceptual Hash:eb12f95054e93669
Difference Hash:0bc9cfe5c54d3333
Wavelet Hash:e705000000ffffff
Color Hash:#1f9331

Scan History

Scan history not available

Unable to load historical scan data