Summary
This website contacted 11 IPs in 2 countries across 11 domains to perform 1 HTTP transaction. The main domain is visitmanchester.com and was registered NaN years ago.
Submitted URL: https://www.visitmanchester.com
The Cisco Umbrella rank of the primary domain is #616,591 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Official tourism board site with no security concerns detected.
Safety Factors
Details
Page Title
Visit Manchester | Official Tourist Board for Manchester
Scan Type
public
Language
English
Category
entertainment media
(60%)Domain Information
You're looking at domain 'www.visitmanchester.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'visitmanchester' is 15 characters long containing 5 vowels alongside ten consonants. Tokenizing the label suggests 2 words: visit, manchester. Median word length comes out to 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 |
|---|---|---|---|
| 32 | 162.159.128.61 | United States | AS13335CLOUDFLARENET |
| 30 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 30 | 172.66.136.7 | United States | AS13335CLOUDFLARENET |
| 30 | 142.250.74.200 | United States | AS15169GOOGLE |
| 30 | 184.24.77.156 | Unknown | |
| 30 | 34.8.125.75 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 30 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 30 | 23.50.131.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 30 | 104.18.28.155 | United States | AS13335CLOUDFLARENET |
| 30 | 104.18.1.22 | United States | AS13335CLOUDFLARENET |
| 332 | 11 | - | - |
Detected Technologies4
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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