Summary
This website contacted 15 IPs in 2 countries across 4 domains to perform 116 HTTP transactions. The main domain is ruh.nhs.uk.
Submitted URL: https://www.ruh.nhs.uk/
AI Security Verdict
Safe Website
Confidence: 95%
1
Risk Score
The site appears to be a legitimate NHS hospital website with no malicious activity detected.
Safety Factors
Official NHS branding and domain structure
Absence of password, payment, or personal data collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable
Details
Page Title
Royal United Hospitals Bath
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
healthcare medical
(77%)Screenshot

Page Load Overview
17.16s
Total Load Time
116
HTTP Requests
4
Domains
2.2 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,726 chars
Detector Agreement:100%
Website Classification
Primary Category
healthcare medical77% confidence
Type: dynamic
Method: ml+structural
All Detected Categories
healthcare medical
77%
government public service
63%
news media journalism
36%
Detected Features
No structural features detected
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 7 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 7 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 7 | 77.68.64.11 | United Kingdom | AS8560IONOS SE |
| 7 | 142.250.185.72 | United States | AS15169GOOGLE |
| 7 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 7 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 7 | 216.239.32.36 | United States | AS15169GOOGLE |
| 7 | 2a04:4e42:400::649 | Unknown | Unknown |
| 7 | 2a04:4e42::649 | Unknown | Unknown |
| 7 | 2a00:1450:4001:c13::61 | Unknown | Unknown |
| 116 | 15 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1DC03E722A344003F1A1382E6FF696F16F5C68614DB065D95FBF56B9B8380FECA40B95C
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
384:W5StW1JILwYlYfNoTjiyiWhpghMxhM8ChkG:qStKCL7lYfRbCiYj+3
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:39608:OkRQABGUAEAuQiiRo5IAEAEKEiuKgi+EYWQCoaTAyE2WoCGCBIhEsWtjTUFCIpQg4ulFcdMBhMGKqEACKAGsXACRIkctJCAC
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:c3ffffffe3c3c3ff
Perceptual Hash:f1ce3861c638ce66
Difference Hash:361600100e8e9e0e
Wavelet Hash:82c2fefec2c2c2c3
Color Hash:#452dd2
Scan History
Scan history not available
Unable to load historical scan data