Security Scan Report: www.citylit.ac.uk

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Submitted: Jan 2, 2026, 4:22:49 PMCompleted: Jan 2, 2026, 4:24:19 PMpubliccompleted
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Summary

This website contacted 20 IPs in 3 countries across 18 domains to perform 73 HTTP transactions. The main domain is citylit.ac.uk and was registered NaN years ago.

Submitted URL: https://www.citylit.ac.uk/

The Cisco Umbrella rank of the primary domain is #633,466 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site with no security concerns.

Safety Factors
Well‑established domain (registered since 1996)
No malicious Indicators of Compromise detected
Standard login form appropriate for an adult education provider
No external links to suspicious domains
Content matches legitimate City Lit branding
Domain age information unavailable

Details

Page Title

City Lit | Adult Education | Courses Online & in London

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'www.citylit.ac.uk' on the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The core label 'citylit' covers 7 characters split between two vowels and 5 consonants. Segmentation suggests 2 words: city, lit. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.citylit.ac.uk/

Page Load Overview

43.91s
Total Load Time
79
HTTP Requests
21
Domains
4.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:11,111 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%

Detected Features

Login Form
Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2252.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
313.33.216.193New York, New York, United States
AS16509AMAZON-02
3142.250.185.200United States
AS15169GOOGLE
334.117.233.127Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3216.198.53.3United States
AS209242Cloudflare London, LLC
365.8.131.88United States
AS16509AMAZON-02
3216.239.32.36United States
AS15169GOOGLE
313.33.216.142UnknownUnknown
3172.217.18.2United States
AS15169GOOGLE
7920--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C96406B3B4481426A263D2E878BD7B15E0D29058DB090C487DBD827DBBD6FB53FA241D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:chtSE0iWl71wjMNT5CKv8ZBwZDKp9moA8bE:cHu1NT5CE8Zp9G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:309420:zMopiQjARQnwlQIIA0dFHghwqAgApQpTbuBkDwWMHEAAWDOQACghMSIQCGMKOmMCgAfCQrATS5CRchYABIkawAsAkRKOgjyQ

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

Average Hash:bf8181e181c3ffff
Perceptual Hash:ea6b949e1f81152b
Difference Hash:69094b4b0b0b8ca2
Wavelet Hash:bd8181818181ffff
Color Hash:#1f6d93

Scan History

Scan history not available

Unable to load historical scan data