Security Scan Report: ssen.co.uk

Redirected to:
https://www.ssen.co.uk/
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Submitted: Dec 23, 2025, 9:58:19 PMCompleted: Dec 23, 2025, 9:58:58 PMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 10 domains to perform 39 HTTP transactions. The main domain is ssen.co.uk and was registered NaN years ago.

Submitted URL: https://ssen.co.uk

Effective URL: https://www.ssen.co.uk/Redirected

The Cisco Umbrella rank of the primary domain is #707,572 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official brand domain
Long‑standing registration
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Scottish and Southern Electricity Networks - SSEN

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(69%)

Domain Information

Within the United Kingdom country-code top-level domain (.co.uk), 'ssen.co.uk' is registered. Count 4 characters in 'ssen' holding 1 vowel versus 3 consonants. Breaking it apart gives two words: s, sen. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ssen.co.uk

Page Load Overview

3.25s
Total Load Time
39
HTTP Requests
10
Domains
1.5 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:9,162 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
69%
documentation technical
41%
adult content
34%
news media journalism
31%

Detected Features

Search
OG: StartPage

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.64.153.214United States
AS13335CLOUDFLARENET
313.107.213.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3216.58.209.168United States
AS15169GOOGLE
3104.18.40.202United States
AS13335CLOUDFLARENET
3172.64.155.119United States
AS13335CLOUDFLARENET
320.50.88.241Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3172.64.147.54United States
AS13335CLOUDFLARENET
3217.114.94.2Sweden
AS30811Optimizely AB
3104.18.36.168United States
AS13335CLOUDFLARENET
3104.18.32.137United States
AS13335CLOUDFLARENET
3910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC64F77E6B58536CD58387AC9B22B0A0370E64AFBDB646ECF51D87B01B836E1CC17845

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dz9M3cJEtk6OtjmasmzPAGYI2UHt4M7+KXA5F3UckQHlyv93BOyoy93eByhA93tb:dzEtkAfYYUQPLFiY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:320157:owLKGQjYSFQRAi3EQJARhVATMKoSDTAgYYDQRZEJQKcAQGAlihRdogACOgIAwIRQ8AJhTCnATEMN1DMYsJmoIQQYyJEqKwqh

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:7f1c000000ffff06
Perceptual Hash:9249c4cb27cb7639
Difference Hash:e8b89cd99ba90f2c
Wavelet Hash:ff5e000001ffff06
Color Hash:#6c9ae0

Scan History

Scan history not available

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