Security Scan Report: www.nnc.ac.uk

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Submitted: Jan 10, 2026, 8:58:52 AMCompleted: Jan 10, 2026, 9:00:21 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 4 domains to perform 23 HTTP transactions. The main domain is nnc.ac.uk and was registered NaN years ago.

Submitted URL: https://www.nnc.ac.uk/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site with no detected security concerns.

Safety Factors
Well‑established domain (registered since 1996)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No suspicious redirects or external links
Site appears to be a legitimate educational institution
Domain age information unavailable

Details

Page Title

North Notts College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(54%)

Domain Information

Domain 'www.nnc.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The registrable portion 'nnc' spans 3 characters with zero vowels and three consonants. Splitting it apart reveals 2 words: n, nc. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nnc.ac.uk/

Page Load Overview

7.60s
Total Load Time
16
HTTP Requests
4
Domains
32.0 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-US
Text Length:7,812 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content54% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
54%
forum community discussion
46%
education
45%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.166.137.117Slough, England, United Kingdom
AS14061DIGITALOCEAN-ASN
523.45.108.190Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
513.33.216.201New York, New York, United States
AS16509AMAZON-02
163--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15B442BF32AB9607DA10793D7BA20B638F65740BBCB06488CF3FD0555EB05EC509E2699

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:u/hbD3P/sNyp/A5EE/LwGvEFZjHwhzIlVlw2ymsn+DVlWGfQf31ygFqIFDl0h8YO:Un/F5AYFqhYlw2yzGkshduAtbNa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:278242:rVD6YooEBHYQROwAQo2RXsgEYSASCBkYAEQC7EJAEACwM0o4QCMasALgQNg0g9wL+yBBpcBcgkqhdIkUCQqIoIzYAYQQEb0Q

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:ff7fffcf88000020
Perceptual Hash:d2b90469fb98a1cd
Difference Hash:d9ddd919199dd5e4
Wavelet Hash:ffffff8f88000020
Color Hash:#2dd25c

Scan History

Scan history not available

Unable to load historical scan data