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Security Scan Report: www.citylit.ac.uk

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Submitted: Oct 11, 2025, 11:10:37 PMCompleted: Oct 11, 2025, 11:12:16 PMpubliccompleted
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Summary

This website contacted 57 IPs in 3 countries across 21 domains to perform 101 HTTP transactions. The main domain is citylit.ac.uk.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site appears legitimate with standard login functionality and no malicious indicators.

Safety Factors
Official academic domain (citylit.ac.uk)
No payment or sensitive financial fields present
Site content aligns with known legitimate adult education provider
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

The domain name 'www.citylit.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) and includes subdomain 'www'. Its registrable label 'citylit' stretches across 7 characters with two vowels and five consonants. Segmentation suggests two words: city, lit. The median word length lands at 3.5 characters. 'city' is most common in Danish usage. You may catch it in Chinese (Pinyin) and English as well. Overall, 'www.citylit.ac.uk' reads as Danish.

Screenshot

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

Page Load Overview

37.86s
Total Load Time
101
HTTP Requests
21
Domains
1.8 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:11,068 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
45157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
134.117.233.127Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1146.75.121.124Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1142.250.184.200United States
AS15169GOOGLE
113.33.216.59New York, New York, United States
AS16509AMAZON-02
120.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
113.33.216.193New York, New York, United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1143.204.98.90United States
AS16509AMAZON-02
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
10157--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16044F7B2A985183A9263D2E4787D7B19D0D2808DDB050C887DBC927DBFE1EB53FA550C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:owkGsB8b33SvQvOemukL0D85CFJv4vYfdXgE84xKtOhoXyZABBQSGGO7O4uYJg/t:owkGsm3cQWemsQ5C0BMX4V9fA8bX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:276830:KE0gkBKJBnKC6AhEQkBudxBCQRhAAEQClBYwFVEkwcYgeUSX1VAuwFFAGCCiU4EQV5KgbBAIONSQQmCgEgjkIINBwYAg3OrA

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:bf81818181ffffff
Perceptual Hash:ab6ec5941fc5c11a
Difference Hash:6b070b0b3919cecc
Wavelet Hash:bd81010101efff7e
Color Hash:#2dd22f

Other Hashes

Crop Resistant:6b070b0b3919cecc,9696aaab5453a1a9,24246b4ba5b41349,58d8684ab6186b54,0000000000000000,97874d8d8d6d7c7c

Scan History

Scan history not available

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