Security Scan Report: www.canarias7.es

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Submitted: Oct 5, 2026, 10:05:01 AMCompleted: Oct 5, 2026, 10:05:46 AMpubliccompleted

This website contacted 37 IPs in 5 countries across 29 domains to perform 244 HTTP transactions. The main domain is canarias7.es and was registered 12 years ago.

Submitted URL: https://www.canarias7.es/sociedad/cuando-empieza-el-horario-de-verano-EX6880402

The Cisco Umbrella rank of the primary domain is #878,893 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Canarias7 news article on daylight saving time. Established 9-year-old domain, self-branded, no credential/payment forms, no Indicators of Compromise, YARA or IDS hits.

Safety Factors (5)
Domain age 3428 days (well-established, minimal risk category)
Own-brand page matching its registered domain
News/blog and corporate content classification (70%)
Third-party scripts all from ranked, common analytics/advertising hosts (Adobe, DoubleClick, New Relic)
Copyright/legal footer with company name and physical address in Las Palmas
Domain age information unavailable

Details

Page Title

¿Cuándo empieza el horario de verano? | Canarias7

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.canarias7.es' on the Spanish country-code top-level domain (.es) and includes subdomain 'www'. Its registrable label 'canarias7' stretches across 9 characters holding 4 vowels versus 4 consonants; bonus characters include 1 digit. Segmentation suggests 2 words: canarias, 7. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.canarias7.es/sociedad/cuando-empieza-el-horario-de-verano-EX6880402

Page Load Overview

7.37s
Total Load Time
8.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:4,816 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28146.75.123.42Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
663.33.243.95Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
63.174.46.14Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
623.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
634.248.248.164Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6104.19.219.32Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
652.210.222.87Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
663.140.62.200Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
24437--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T114944C77B250F83EA76F4380F663B30921232113F585C9A6F2D596C32A8BDE55A3752C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:vX/lY+Khbmc/15Sp+O45HOQk3erdhkZ2rd:XTK91/15SpV6dhkgrd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:430472:HgAU5BBvnUcppEAQgNGYbIJioDAbkYwQAhSCaIgKEQBIX7RRRkQAQAiJixiASCNQaKHAMIAXETgIKMgj3jiLQ1CBAADjEdkG

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:ffbf939f8b81ff87
Perceptual Hash:bcc7c26992d16c96
Difference Hash:226e263c3333303e
Wavelet Hash:dbbf83878f81c700
Color Hash:#88d22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data