Security Scan Report: www.calmac.co.uk

Redirected to: https://www.calmac.co.uk/en-gb#/

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Submitted: Dec 29, 2025, 10:22:05 PMCompleted: Dec 29, 2025, 10:23:32 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 13 domains to perform 178 HTTP transactions. The main domain is calmac.co.uk and was registered NaN years ago.

Submitted URL: https://www.calmac.co.uk/en-gb

Effective URL: https://www.calmac.co.uk/en-gb#/Redirected

The Cisco Umbrella rank of the primary domain is #690,772 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate ferry service website with no apparent security threats.

Safety Factors
Long‑standing domain registration
Official brand domain with matching branding
Absence of suspicious forms or data collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Ferries to Scotland & Scottish Islands | Ferry travel around Scotland | CalMac | Caledonian MacBrayne

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(58%)

Domain Information

Within the United Kingdom country-code top-level domain (.co.uk), 'www.calmac.co.uk' is registered and includes subdomain 'www'. Its registrable label 'calmac' stretches across 6 characters containing 2 vowels alongside 4 consonants. Splitting it apart reveals two words: calma, c. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.calmac.co.uk/en-gb

Page Load Overview

7.11s
Total Load Time
175
HTTP Requests
13
Domains
5.7 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
Text Length:8,668 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism58% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
58%
healthcare medical
55%
corporate business
31%
government public service
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19142.250.185.194Germany
13216.239.32.36United States
AS15169GOOGLE
134.158.236.57London, England, United Kingdom
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1320.50.88.245United Kingdom
13104.20.44.120United States
AS13335CLOUDFLARENET
13142.251.141.66UnknownUnknown
133.78.162.127UnknownUnknown
13172.66.163.83United States
AS13335CLOUDFLARENET
1313.107.246.44UnknownUnknown
1313.107.213.44UnknownUnknown
17513--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C34FA7181F4111AC303A3D67A26D5EDB982A20FE705980A757D07A27FE6CA77C0B5BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5tg0g/KUS7Qw/FpA882Jcp3JzVexyUfgCMy/R6kCBkMJQX6AjUrSgiM7vodovjIH:j+IQwHA882Jcp3Dq/yNU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:234019:gMEBAMbMDAZYQEIsdVm5hYK2hQzFhQEGgEBJxAKCjyBXhUkAHUEoajgMZAydZoCgQRCUThgDgACDE4CM3xkCsICEEKKyMgsF

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:fffd20707070703c
Perceptual Hash:c2b9bba596e54324
Difference Hash:7319e1e4c4c4eae9
Wavelet Hash:fffd20707070703c
Color Hash:#2d8658

Scan History

Scan history not available

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