Security Scan Report: www.traveler.es

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Submitted: Sep 30, 2026, 3:10:40 PMCompleted: Sep 30, 2026, 3:11:43 PMpubliccompleted

This website contacted 46 IPs in 1 country across 19 domains to perform 120 HTTP transactions. The main domain is traveler.es and was registered 17 years ago.

Submitted URL: https://www.traveler.es/experiencias/articulos/que-pasa-si-revienta-rueda-avion-aterrizaje-emergencia-que-hacer/17237

The Cisco Umbrella rank of the primary domain is #846,241 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Legitimate Condé Nast Traveler España article about emergency landings. Established domain, self-branded, no phishing, malware, or credential harvesting indicators.

Safety Factors (5)
Established domain with over 6 years of age
Known Spanish travel magazine (Condé Nast Traveler España) with self-branding
Article/news content page with clear attribution and no brand impersonation
No credential or payment forms on the page
No Indicators of Compromise, YARA malware, IDS alerts, or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Qué tienes que saber sobre los aterrizajes de emergencia: el caso de Air Canadá en Barajas | Traveler

Scan Type

public

Domain Name Analysis

The domain name 'www.traveler.es' uses the Spanish country-code top-level domain (.es) with subdomain 'www'. Its registrable label 'traveler' stretches across 8 characters containing 3 vowels alongside 5 consonants. It segments into 1 word: traveler. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.traveler.es/experiencias/articulos/que-pasa-si-revienta-rueda-avion-aterrizaje-emergencia-que-hacer/17237

Page Load Overview

5.82s
Total Load Time
20.6 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es-ES
Text Length:44,604 chars
Detector Agreement:80%

Website Classification

Primary Category

travel tourism98% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

travel tourism
98%
news media journalism
98%
government public service
91%
blog personal website
84%
entertainment media
82%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3013.33.187.61Cloudfront · CDNNew York, New York, United States
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218.66.122.60Cloudfront · CDNUnited States
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2142.251.110.157Google · CDNUnited States
AS15169Google LLC
213.226.244.128Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.167.227.10Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
254.192.35.119Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.32.121.106Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
23.174.46.10Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.7.21Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
12046--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF352BE3F9003B791A3F51FFEDA7BB0A71195056C9036896F8C8471794D9A900FA27B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:jGPX5MgbaqY9p5O5VNAMBXBxYjRI4xCFLMbGPX5MgbaqY9p5O5VNAMBXvxt9sm:djRI4xCJn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1086161:cIAiRgGoEFBSkUWg+jEMBBBIGbE0CimUIArnKiKJRZAQZDAmgAFEhMVAIbqe4eC7ixCMiUWgFWAAZIUCWCmghCcKYLVhGBAg

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:003c3c3cbfbdbf85
Perceptual Hash:9e4b31b471674936
Difference Hash:6179686969696d29
Wavelet Hash:003c3c3c3d3d3d05
Color Hash:#5353ac

Scan History

Scan history not available

Unable to load historical scan data