Security Scan Report: www.secamb.nhs.uk

Submitted: Oct 20, 2025, 6:17:08 PMCompleted: Oct 20, 2025, 6:17:59 PMpubliccompleted
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Summary

This website contacted 33 IPs in 3 countries across 8 domains to perform 62 HTTP transactions. The main domain is secamb.nhs.uk.

Submitted URL: https://www.secamb.nhs.uk/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain belongs to a recognized NHS Trust
Content matches official South East Coast Ambulance Service information
Site uses standard, non‑suspicious forms (keyword search only)
Domain age information unavailable

Details

Page Title

Welcome to South East Coast Ambulance Service | NHS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(74%)

Domain Information

Domain 'www.secamb.nhs.uk' uses the United Kingdom country-code top-level domain (.nhs.uk); it also runs on subdomain 'www'. The core label 'secamb' covers 6 characters containing 2 vowels alongside four consonants. Segmentation suggests 2 words: secam, b. Average segment length settles at three characters. 'secam' most often appears in Bosnian. It also appears in Portuguese (Brazil) and Serbian contexts. Overall, 'www.secamb.nhs.uk' reads as Bosnian.

Screenshot

Security scan screenshot of https://www.secamb.nhs.uk/

Page Load Overview

8.73s
Total Load Time
62
HTTP Requests
8
Domains
7.9 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-GB
Text Length:8,575 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
74%
government public service
40%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30151.101.1.229San Francisco, California, United States
AS54113FASTLY
1104.17.25.14United States
AS13335CLOUDFLARENET
1151.101.65.229San Francisco, California, United States
AS54113FASTLY
1104.18.0.22United States
AS13335CLOUDFLARENET
1104.18.1.22United States
AS13335CLOUDFLARENET
1216.58.212.142United States
AS15169GOOGLE
1104.17.24.14United States
AS13335CLOUDFLARENET
1151.101.66.137San Francisco, California, United States
AS54113FASTLY
1216.239.32.36United States
AS15169GOOGLE
1212.71.246.147London, England, United Kingdom
AS63949Akamai Connected Cloud
6233--

Detected Technologies15

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C99350F20988703E960B7ADAB72DF755A3D39045CF4815A1A3F867CCDE02F9485FA216

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:RSn9o2rL/Mc7xyGkbqDKtVXPirGkbqlBICgPFUOclIEWDriTbz//d/yHh6CjKHFH:EHL/MyKtVTBrgPFU+Emmvz//d/TBSS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94219:EMzttwskJcAAQAEwFkDNCDQ6kSCABIm0QgwID6IQgRmGESR0KMkMVglhQkpQCG/EYjmhUAxLACGYem8WAUuAAoCCYQQAmgB2

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:ff0d000000f9fffb
Perceptual Hash:ca1397da64e44ba5
Difference Hash:cd59db97b3510053
Wavelet Hash:ff0d010000f9ffeb
Color Hash:#53ac8d

Scan History

Scan history not available

Unable to load historical scan data