Security Scan Report: www.belfastcity.gov.uk

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Submitted: Oct 7, 2025, 2:45:25 PMCompleted: Oct 7, 2025, 2:46:03 PMpubliccompleted
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Summary

This website contacted 62 IPs in 3 countries across 13 domains to perform 95 HTTP transactions. The main domain is belfastcity.gov.uk and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with minimal risk.

Safety Factors
Official government domain (.gov.uk)
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Belfast City Council

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(85%)

Domain Information

You're looking at domain 'www.belfastcity.gov.uk' on the United Kingdom country-code top-level domain (.gov.uk) with subdomain 'www'. The core label 'belfastcity' covers 11 characters split between three vowels and 8 consonants. Splitting it apart reveals 2 words: belfast, city. The median word length lands at 5.5 characters. 'belfast' most often appears in Chinese (Pinyin). Usage also turns up in English and Malay contexts. Taken together, it feels Chinese (Pinyin).

Screenshot

Security scan screenshot of https://www.belfastcity.gov.uk/

Page Load Overview

10.98s
Total Load Time
95
HTTP Requests
13
Domains
1.2 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:4,160 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning85% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
85%
adult content
83%
government public service
62%
healthcare medical
54%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.174.46.81United States
AS16509AMAZON-02
118.245.31.52United States
AS16509AMAZON-02
1104.18.21.91United States
AS13335CLOUDFLARENET
1108.138.7.97United States
AS16509AMAZON-02
1184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1108.138.7.28United States
AS16509AMAZON-02
118.245.31.91United States
AS16509AMAZON-02
1142.250.184.202United States
AS15169GOOGLE
123.50.131.216Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13.174.46.26United States
AS16509AMAZON-02
9562--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AF3B7A2E971822A372BC7D835EFDA25F32764D1EC105F25BABD01944BD12ED301E49B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PgUalgbVybVtbVpDXdQdRYlCzDVu8tzy2QVhzN+DL51O7bw:YUalgbVybVtbVoQVdN+N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162414:kMCoyFAJpBnEEMBBiOXW7IK2iWTWsBUrBM0goiihQUSEkELIQSAEKIgAL40wDBEXGEgIAUUIRCABUZGhmkwzaWEAmRCL7VkF

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:fc3c003c3820fcfc
Perceptual Hash:db0fd8e2dad0246c
Difference Hash:297973f961c1c929
Wavelet Hash:fc3c003c3838fcfc
Color Hash:#783a73

Scan History

Scan history not available

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