Security Scan Report: www.goaheadtours.ca

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Submitted: Completed: publiccompleted
This website contacted 50 IPs in 3 countries across 27 domains to perform 216 HTTP transactions. The main domain is goaheadtours.ca and was registered 19 years ago.

Submitted URL: https://www.goaheadtours.ca/travel-blog/articles/france-travel-guide

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate EF Go Ahead Tours blog article on its own long-established domain; no forms collecting credentials, no threat-intel, hunting rule, or IDS malware/phishing evidence.

Safety Factors (5)
Established 19-year-old domain matching the displayed brand
Article/blog content with legitimate travel editorial structure
No credential or payment collection forms
No Indicators of Compromise, hunting rule, or Safe Browsing hits
Cross-origin requests limited to standard analytics/CDN hosts
Domain age information unavailable

Details

Page Title

France Travel Guide: What to Do, See & Eat | EF Go Ahead Tours

Scan Type

public

Domain Name Analysis

The domain name 'www.goaheadtours.ca' uses the Canadian country-code top-level domain (.ca), featuring subdomain 'www'. Its registrable label 'goaheadtours' stretches across 12 characters containing six vowels alongside 6 consonants. Word splitting yields three words: go, ahead, tours. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

1-600-719-9805 Visit ourhelpcenter Organizea group _Log in/Register GO AHEAD 4 o (Gu | Tours + Destinations ¥ Travel styles ¥ Traveldeals » Aboutus v |” “Northern Lights Home > Blog > Traveltips >...

Page Load Overview

5.24s
Total Load Time
9.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:40,856 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(99%)🇫🇷fr(1%)

Website Classification

Primary Category

finance banking85% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
85%
travel tourism
68%
news/blog
35%
adult content
34%
education learning
32%

Detected Features

Search
Products
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7776.76.21.22Aws · CLOUDWalnut, California, United States
AS16509Amazon.com, Inc.
4313.33.187.77Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2813.226.244.18Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
10172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.26.1.115Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7216.239.34.36Google · CDNUnited States
AS15169Google LLC
6142.251.154.119Google · CDNUnited States
AS15169Google LLC
476.76.21.164Aws · CLOUDWalnut, California, United States
AS16509Amazon.com, Inc.
4104.18.32.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
21650--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139850677B064CB3B96AA498DF5762E25DFD150AFD9E28CDCE08CC5A403E2A3467E1503

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:nX7IHeHYXr2ACy00dyGl/aVu9wwKN0fJMb9cX7I+CHeHJYeyaVu9wwKN0fJvxPYa:I84lHaTAUwOFp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1805975:EcBCnBws1BBAPqAAigmhBezAAgOQLMJjAEgFFQgCHCGQQEAozzzCoIcDEIGB52MCUAgbjBqBEIcEhCg7EYghgOQBGRSZQgtY

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:ffff070018ffffff
Perceptual Hash:9e0ce0f95f34a2ca
Difference Hash:263fef70698d1c4d
Wavelet Hash:ff07050000e7efe7
Color Hash:062c8000000

Scan History

Scan history not available

Unable to load historical scan data