Security Scan Report: rmg.co.uk

Redirected to:
https://www.rmg.co.uk/
Site favicon
Submitted: Sep 16, 2026, 3:27:09 PMCompleted: Sep 16, 2026, 3:28:10 PMpubliccompleted

This website contacted 12 IPs in 2 countries across 8 domains to perform 46 HTTP transactions. The main domain is rmg.co.uk and was registered 10 years ago.

Submitted URL: https://rmg.co.uk

Effective URL:

https://www.rmg.co.uk/
Redirected

The Cisco Umbrella rank of the primary domain is #488,793 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official Royal Museums Greenwich website on its own 20-year-old domain. Self-branding, no credential or payment forms, no Indicators of Compromise, malware or IDS hits. Legitimate.

Safety Factors
Established 20-year-old domain matching its own brand
No threat-intelligence matches against page or loaded resources
No credential-harvesting or payment forms present
Standard Cookiebot consent banner and legitimate analytics/CDN resources (Google Fonts, GTM)
Physical address and institutional detail visible
Domain age information unavailable

Details

Page Title

Royal Museums Greenwich | Home

Scan Type

public

Domain Name Analysis

Within the United Kingdom country-code top-level domain (.co.uk), 'rmg.co.uk' is registered with no subdomain. The second-level label 'rmg' is 3 characters long holding zero vowels versus 3 consonants. Breaking it apart gives two words: r, mg. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rmg.co.uk

Page Load Overview

2.41s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:103,452 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service44% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
44%
technology software
39%
documentation technical
37%
real estate property
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13192.178.170.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.97Google · CDNUnited States
AS15169Google LLC
323.36.162.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.185.0.2Fastly · CDNUnited States
AS54113Fastly, Inc.
323.36.162.220Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.45.103.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
318.245.60.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3192.178.183.154Google · CDNUnited States
AS15169Google LLC
323.36.162.200Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.36.162.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4612--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B04133D77C05881505A352E07E7EF0089163705BA509ECD1B8DD20C81FADBEB86A769D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:SXArCUa6mVSP6wpiCmlPmccIl+2QAjJwQnRi4x:ZrDuhwvmkIl+2QAqD4x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2240:AQoGAEhQCIQAAAAAAAAAACgAQMAAAAACACAABAgAiAAIACAAAAAIIAQAAAAEABAEAAAAkAAEgAIUAACQJAAAAQEAAIQAAACQ

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:00003c3c3c3c0000
Perceptual Hash:cb35349fe9619a30
Difference Hash:92b2696969690640
Wavelet Hash:5a7c7c7c7c7c4060
Color Hash:#d2d179

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data