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Security Scan Report: www.horleysurrey-tc.gov.uk

Redirected to:
https://www.horleysurrey-tc.gov.uk/
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Submitted: Jun 16, 2026, 5:05:54 PMCompleted: Jun 16, 2026, 5:06:25 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is horleysurrey-tc.gov.uk and was registered NaN years ago.

Submitted URL: http://www.horleysurrey-tc.gov.uk

Effective URL: https://www.horleysurrey-tc.gov.uk/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no malicious indicators and appears to be a legitimate government website.

Safety Factors
Established government domain (horleysurrey-tc.gov.uk)
Self‑branding matches domain
No suspicious external links or redirects
No credential exfiltration or form submission to third parties
Domain age information unavailable

Details

Page Title

Home - Horley Town Council

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'www.horleysurrey-tc.gov.uk' uses the United Kingdom country-code top-level domain (.gov.uk), featuring subdomain 'www'. The second-level label 'horleysurrey-tc' is 15 characters long holding 4 vowels versus ten consonants, notching 1 hyphen. Splitting it apart reveals 4 words: hor, ley, surrey, tc. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.horleysurrey-tc.gov.uk

Page Load Overview

2.03s
Total Load Time
65
HTTP Requests
9
Domains
15.0 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:5,466 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
46%
technology software
34%
news media journalism
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
21172.67.142.245United States
AS13335Cloudflare, Inc.
2187.239.16.87United Kingdom
AS205072Layershift Limited
653--

Detected Technologies1

Twitter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19823226154F0202A029292A33FB5672ADF539247E51A7E0D769C0BCDEFD2F428D4739E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:D3ncwMx3Sef75+6jUqwMWubraVnX45poQ+xPYoXJ+4mC48iiqwMWhr:zQSef1hjPbrMnX45oxPYoZ+u489r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47813:iCRCwQSMGKNATAKIAVkGQYEIIcMEDMACHGXBEBAak4hEiAnAQFaExCDAKwGBnopAIJs71CIKABBYhIIBSBcGGdoEEmMwXKAC

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:ffff838381c3ff81
Perceptual Hash:ecc0c3c76d963c38
Difference Hash:6333372b2b2b2b23
Wavelet Hash:f9ff81818181ff81
Color Hash:#6cc9e0

Other Hashes

Crop Resistant:6333372b2b2b2b23,eaca8a8a8a9a9a9a,347bcb492c4e4121,0081412121018100

Scan History

Scan history not available

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