Summary
This website contacted 117 IPs in 4 countries across 34 domains to perform 158 HTTP transactions. The main domain is vam.ac.uk.
Submitted URL: https://www.vam.ac.uk/
The Cisco Umbrella rank of the primary domain is #369,226 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate V&A museum site with no security concerns.
Safety Factors
Details
Page Title
The family of art, design and performance museums · V&A
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Within the United Kingdom country-code top-level domain (.ac.uk), 'www.vam.ac.uk' is registered with subdomain 'www'. The second-level label 'vam' is 3 characters long with 1 vowel and 2 consonants. Segmentation suggests 2 words: v, am. Average segment length settles at 1.5 characters. 'v' is most common in Slovenian usage. You will also see it in Czech and Slovak contexts. Net impression: Slovenian phrase.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 42 | 104.18.32.137 | United States | AS13335CLOUDFLARENET |
| 1 | 18.66.102.53 | United States | AS16509AMAZON-02 |
| 1 | 23.206.208.183 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 54.85.72.11 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 99.84.152.14 | United States | AS16509AMAZON-02 |
| 1 | 52.92.32.225 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 162.159.140.128 | United States | AS13335CLOUDFLARENET |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 142.250.184.230 | United States | AS15169GOOGLE |
| 158 | 117 | - | - |
Detected Technologies14
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
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