Summary
This website contacted 14 IPs in 2 countries across 6 domains to perform 23 HTTP transactions. The main domain is bracknell-forest.gov.uk and was registered NaN years ago.
Submitted URL: https://www.bracknell-forest.gov.uk/
The Cisco Umbrella rank of the primary domain is #748,234 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Bracknell Forest Council |
Scan Type
public
Language
English
Category
government public service
(64%)Domain Information
Domain 'www.bracknell-forest.gov.uk' uses the United Kingdom country-code top-level domain (.gov.uk), featuring subdomain 'www'. The second-level label 'bracknell-forest' is 16 characters long holding four vowels versus eleven consonants; it also includes 1 hyphen. Tokenizing the label suggests 2 words: bracknell, forest. Median word length is 7.5 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 |
|---|---|---|---|
| 13 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 142.250.185.131 | United States | AS15169GOOGLE |
| 2 | 108.138.7.28 | United States | AS16509AMAZON-02 |
| 2 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 2 | 34.107.253.133 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 108.138.7.97 | United States | AS16509AMAZON-02 |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 2606:4700:3037::ac43:8ef5 | United States | AS13335CLOUDFLARENET |
| 1 | 108.138.7.65 | United States | AS16509AMAZON-02 |
| 23 | 14 | - | - |
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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