Security Scan Report: www.jncc.gov.uk

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Submitted: Dec 7, 2025, 9:47:03 PMCompleted: Dec 7, 2025, 9:48:16 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security risk.

Safety Factors (3)
Established government domain
Physical address and contact information visible
Content aligns with known Joint Nature Conservation Committee activities
Domain age information unavailable

Details

Page Title

Advisor to Government on Nature Conservation | JNCC

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.jncc.gov.uk' on the United Kingdom country-code top-level domain (.gov.uk) with subdomain 'www'. The second-level label 'jncc' is 4 characters long holding 0 vowels versus four consonants. Breaking it apart gives 2 words: j, ncc. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

40.41s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-GB
Text Length:3,369 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
69%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
520.90.134.29London, England, United Kingdom
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1142.251.140.168United States
AS15169GOOGLE
123.53.42.65Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.209.119.39Dublin, Leinster, Ireland
AS16509AMAZON-02
1104.17.25.14United States
AS13335CLOUDFLARENET
1172.66.163.83United States
AS13335CLOUDFLARENET
1104.21.27.152United States
AS13335CLOUDFLARENET
1142.251.140.170United States
AS15169GOOGLE
1142.250.185.163United States
AS15169GOOGLE
12a00:1450:4001:81c::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2925--

Detected Technologies3

JQueryv2.2.4
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A23C652B7D0102742F791D2783CEB9AFA299197C6421D04FE5C86ACCFDBC921A1F64E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:b2aUxfGLdriF/ltzDDm8tzyDFbeypVOnHSH:bVUoLdriF/ltzDDm8tzyDFbeypVYHSH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47137:IInZUBdHVJAYgSQBBwEOAJagCICIBBLTgNQKmCqNBCC2ADJBAELAugYAIkNMJQCAsAinQamAJkAat4FBhIgoMxJJwgoGFgAs

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:ff03030103ff8383
Perceptual Hash:ac83b4c6687adb25
Difference Hash:27d63717d6e61616
Wavelet Hash:ff07030303ffc383
Color Hash:#3a7878

Scan History

Scan history not available

Unable to load historical scan data