ScanMalware.com

Security Scan Report: www.conwytowncouncil.gov.uk

Site favicon
Submitted: Oct 13, 2025, 8:54:32 AMCompleted: Oct 13, 2025, 8:55:55 AMpubliccompleted

Summary

This website contacted 20 IPs in 3 countries across 9 domains to perform 36 HTTP transactions. The main domain is conwytowncouncil.gov.uk and was registered 18 years ago.

Submitted URL: https://www.conwytowncouncil.gov.uk/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain registered in 2008
Government TLD (.gov.uk) typically reserved for official entities
No suspicious redirects or external links
No login or payment forms present
Domain age information unavailable

Details

Page Title

www.conwytowncouncil.gov.uk

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

The domain 'www.conwytowncouncil.gov.uk' uses the United Kingdom country-code top-level domain (.gov.uk) and includes subdomain 'www'. Count 16 characters in 'conwytowncouncil' containing 5 vowels alongside eleven consonants. Word splitting yields 3 words: conwy, town, council. Average segment length settles at 5 characters. 'conway' most often appears in English. It also appears in Chinese (Pinyin) and Danish contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of apps.elfsight.com

Page Load Overview

36.97s
Total Load Time
36
HTTP Requests
9
Domains
437 KB
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:126 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
60%
government
48%
healthcare medical
33%
education learning
31%
real estate property
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1104.20.33.75United States
AS13335CLOUDFLARENET
1172.64.147.188United States
AS13335CLOUDFLARENET
185.233.160.141United Kingdom
AS8622Team Blue Internet Services Uk Limited
1184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1172.67.142.245United States
AS13335CLOUDFLARENET
1104.18.40.68United States
AS13335CLOUDFLARENET
1172.66.174.217United States
AS13335CLOUDFLARENET
1184.24.77.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3620--

Page Statistics

36
Requests
12
Unique Domains
522.2 KB
Total Size

Detected Technologies2

Typekit
30%
Adobe Fonts
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122B1ED226019463F51A206D2B3763E0FE0E1DB18DB0B758C59F3839D77DEE85C96858A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:FTOrPz+5r13bwQURRllVQp7QMLemVu/7REujVM/7REuj/KYDp3q/t1MK/t1MaABK:FQJQ3+semVujKumjKuzKYDp3q11P11LN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5253:SQeVIgAACGzAQPCACAUAIJgwAIEnHAJAECqKISJAAwCA8JYA1IAFABQRFAABQQAAMIgQgRBAAJMOKkUAAJHMhKBggRCIIECg

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:000000ffffffffff
Perceptual Hash:88082cfdd7732373
Difference Hash:31b1697171064001
Wavelet Hash:00000000ffffffff
Color Hash:#cdd22d

Other Hashes

Crop Resistant:31b1697171064001,e0a82a26161696f0,0131b33117696907

Scan History

Scan history not available

Unable to load historical scan data