Security Scan Report: www.nuneatonandbedworth.gov.uk

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Submitted: Mar 1, 2026, 8:10:32 AMCompleted: Mar 1, 2026, 8:12:07 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is nuneatonandbedworth.gov.uk and was registered NaN years ago.

Submitted URL: https://www.nuneatonandbedworth.gov.uk/councillors/12/tony-cooper

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
Official government domain
No suspicious forms or scripts
No Indicators of Compromise
Domain age information unavailable

Details

Page Title

403 Forbidden

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(75%)

Domain Information

Domain 'www.nuneatonandbedworth.gov.uk' uses the United Kingdom country-code top-level domain (.gov.uk) and includes subdomain 'www'. The second-level label 'nuneatonandbedworth' is 19 characters long containing seven vowels alongside 12 consonants. Tokenizing the label suggests 3 words: nuneaton, and, bedworth. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nuneatonandbedworth.gov.uk/councillors/12/tony-cooper

Page Load Overview

0.56s
Total Load Time
22
HTTP Requests
7
Domains
558 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:1,527 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
75%
government public service
56%
government
48%
technology software
40%
documentation technical
40%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2275.2.60.138United States
AS16509Amazon.com, Inc.
221--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13EF0E29BAF19203F3F2381B0F4C72268DF640A16EF8924D28749011F728900288F5FAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxRgsoCbx0Aqogs01lIHTF83TF83TF83TF83TF83TFf:kYEmAUtnSTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7f7548cd6d3cf66efef1d0081dd6e436

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:e7ffffffffffffff
Perceptual Hash:e666666666666626
Difference Hash:0c00000000000000
Wavelet Hash:e0f8f0f0f0f0f0f0
Color Hash:#d2a079

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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