Summary
This website contacted 49 IPs in 2 countries across 10 domains to perform 163 HTTP transactions. The main domain is bmw.co.uk and was registered NaN years ago.
Submitted URL: https://www.bmw.co.uk/en/electric-cars.html
The Cisco Umbrella rank of the primary domain is #310,143 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Official BMW site with no security concerns.
Safety Factors
Details
Page Title
All-Electric Cars - New, Dynamic, Convenient, 100% Electric
Scan Type
public
Language
English
Category
documentation technical
(43%)Domain Information
The domain 'www.bmw.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) with subdomain 'www'. Count 3 characters in 'bmw' holding 0 vowels versus three consonants. Splitting it apart reveals 1 word: bmw. Median word length is 3 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 68 | 2.23.7.18 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 29 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 23 | 184.24.77.15 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 19 | 2.19.126.200 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 23.36.162.209 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 3.174.46.44 | United States | AS16509AMAZON-02 |
| 3 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 3.174.46.15 | United States | AS16509AMAZON-02 |
| 3 | 2.19.126.201 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.36.162.204 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 163 | 49 | - | - |
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
Other Hashes
Scan History
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