Security Scan Report: woodbridge-suffolk.gov.uk

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Submitted: Jan 9, 2026, 8:46:42 AMCompleted: Jan 9, 2026, 8:47:41 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is woodbridge-suffolk.gov.uk and was registered NaN years ago.

Submitted URL: https://woodbridge-suffolk.gov.uk/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate council website with no security concerns.

Safety Factors
Established government domain (.gov.uk)
No malicious Indicators of Compromise
No forms collecting sensitive data
Long domain registration history
No external links or redirects to suspicious sites
Domain age information unavailable

Details

Page Title

Welcome to the Woodbridge Town Council | Woodbridge Town Council

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(74%)

Domain Information

Within the United Kingdom country-code top-level domain (.gov.uk), 'woodbridge-suffolk.gov.uk' is registered. Its registrable label 'woodbridge-suffolk' stretches across 18 characters holding 6 vowels versus eleven consonants, plus one hyphen. Segmentation suggests 2 words: woodbridge, suffolk. Median word length comes out to 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://woodbridge-suffolk.gov.uk/

Page Load Overview

2.59s
Total Load Time
50
HTTP Requests
5
Domains
3.6 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:2,084 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
74%
government
48%
corporate
35%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.18.0.22United States
AS13335CLOUDFLARENET
1023.32.238.192Germany
10107.6.168.178Amsterdam, North Holland, Netherlands
AS32475SINGLEHOP-LLC
10151.101.130.137Unknown
10184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
505--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6C2B452604C2A3B522327DFB6153BD9F09F8D7AE71548AAF4F7022B63C0D848A77439

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Y+RzsEkUM6m6sNFY/mtmcTi6udALOMrMGrMrrrMiIrMmUdyqO/3hGY1Nv6TFxOxb:xRYwMyX5yl3vExOxlHaI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28204:igcsCShMqAKLLWcEICHFBKUxKAAkKiA42DdAAKAEy4BBjAAMCmUiSQBQjQLSajUhhihQChdhwBEKUFNQmFEGlk/HASBiykEa

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:003fff0f001c00ff
Perceptual Hash:882dfc5ca57c9d60
Difference Hash:3251f9dbf9f1b5b3
Wavelet Hash:007fff1f181800ff
Color Hash:#3a5078

Scan History

Scan history not available

Unable to load historical scan data