Security Scan Report: rcoa.ac.uk

Submitted: Jan 23, 2026, 11:37:35 PMCompleted: Jan 23, 2026, 11:39:08 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is rcoa.ac.uk and was registered NaN years ago.

Submitted URL: https://rcoa.ac.uk

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate site of the Royal College of Anaesthetists.

Safety Factors
Established domain age
Brand‑consistent meta tags and domain
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

Royal College of Anaesthetists | The Royal College of Anaesthetists

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(62%)

Domain Information

The domain name 'rcoa.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) without a subdomain. The second-level label 'rcoa' is 4 characters long holding two vowels versus 2 consonants. Word splitting yields 2 words: rco, a. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rcoa.ac.uk

Page Load Overview

1.60s
Total Load Time
41
HTTP Requests
9
Domains
2.5 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:20,753 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
62%
education
45%
government public service
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8142.250.185.168United States
AS15169GOOGLE
8104.16.175.226United States
AS13335CLOUDFLARENET
8184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
852.212.115.228Dublin, Leinster, Ireland
AS16509AMAZON-02
415--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF547DD200D7353640DAB1FAB5E6D615AB62C60FE7195C0ABEBC4BA40F92FA44DD308D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vXk1KBfOFzfBjfOFzfWBo9oH+Zfpzv27Y6k/:vk1KRWz6l/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:278774:pgsTDVBigAUZpGgFBhEYJk6A5EA1CAKBBDG6bRANTgABSBsCRFxGEdJc0AAppCTQgAOAABkQCAgXZFqHhMALMliQAIAmQEzs

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:93ffffeae8e82000
Perceptual Hash:ed9a364d33421976
Difference Hash:2222d2d2d25246c6
Wavelet Hash:00fffffbe8e82000
Color Hash:#3a5778

Scan History

Scan history not available

Unable to load historical scan data