Security Scan Report: viva.org.uk

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Submitted: Dec 3, 2025, 4:54:13 AMCompleted: Dec 3, 2025, 4:55:59 AMpubliccompleted
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Summary

This website contacted 41 IPs in 4 countries across 12 domains to perform 89 HTTP transactions. The main domain is viva.org.uk and was registered NaN years ago.

Submitted URL: https://viva.org.uk/lifestyle/living-vegan/celebrities/chefs-cookery-writers/tabitha-brown/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established UK charity (Viva!) with long registration history
Standard search forms only, no sensitive data collection
Content aligns with the site’s purpose (vegan lifestyle information)
Domain age information unavailable

Details

Page Title

Viva! - Tabitha Brown

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(59%)

Domain Information

Within the United Kingdom country-code top-level domain (.org.uk), 'viva.org.uk' is registered with no subdomain. The core label 'viva' covers 4 characters with two vowels and 2 consonants. Word splitting yields 1 word: viva. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://viva.org.uk/lifestyle/living-vegan/celebrities/chefs-cookery-writers/tabitha-brown/

Page Load Overview

5.07s
Total Load Time
89
HTTP Requests
12
Domains
1.7 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-GB
Text Length:9,371 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical59% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
59%
news/blog
35%
corporate
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6013.226.244.63United States
AS16509AMAZON-02
5142.250.186.163United States
AS15169GOOGLE
5142.250.186.168United States
AS15169GOOGLE
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3212.71.238.85London, England, United Kingdom
AS63949Akamai Connected Cloud
213.226.244.42United States
AS16509AMAZON-02
2142.250.185.234United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2142.250.74.206United States
AS15169GOOGLE
8941--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1911495EA58CC10FF922F3185E0CDA21463C64636CFC20A91B7F962699F66FDC54F611A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:N8YILHL4TYnYgv/Qr394fLSJEBmQoC0N1SWkwAG/pW2IxKtfqBtf0+3kK1KiTRO5:bILHuJEBmQoC0N15tfqBtf0+3kK1KiTE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:190637:IB0UIQAAWiHlAEC61zvkA7INSDAAkKiwJUQkyhoIaAEs8RoCYQBwDICpwKeBlwgCDbAKDQEuQkEyKEBAAL4CgkNBdC9RzINk

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:0000ffffc3ffff9f
Perceptual Hash:b8531a723c9b933c
Difference Hash:3990691696493320
Wavelet Hash:0000ffffc3dd011f
Color Hash:#b96ce0

Scan History

Scan history not available

Unable to load historical scan data