Summary
This website contacted 59 IPs in 3 countries across 21 domains to perform 100 HTTP transactions. The main domain is citylit.ac.uk.
Submitted URL: https://www.citylit.ac.uk/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no actionable security threats.
Safety Factors
Details
Page Title
City Lit | Adult Education | Courses Online & in London
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain name 'www.citylit.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) with subdomain 'www'. The second-level label 'citylit' is 7 characters long with 2 vowels and 5 consonants. Splitting it apart reveals 2 words: city, lit. Average segment length settles at 3.5 characters. The linguistic tilt is Danish for 'city'. Usage also turns up in Chinese (Pinyin) and English contexts.
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 |
|---|---|---|---|
| 56 | 146.75.121.124 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 42 | 216.198.53.6 | United States | AS209242Cloudflare London, LLC |
| 10 | 172.66.0.126 | United States | AS13335CLOUDFLARENET |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 216.198.53.3 | United States | AS209242Cloudflare London, LLC |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 172.217.18.8 | United States | AS15169GOOGLE |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 162.247.241.14 | United States | AS23467NEWRELIC-AS-1 |
| 2 | 13.33.216.59 | New York, New York, United States | AS16509AMAZON-02 |
| 100 | 59 | - | - |
Detected Technologies9
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
Scan history not available
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