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Security Scan Report: www.darlingtonandstocktontimes.co.uk

Submitted: Jun 29, 2026, 12:22:53 AMCompleted: Jun 29, 2026, 12:24:22 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is darlingtonandstocktontimes.co.uk and was registered NaN years ago.

Submitted URL: https://www.darlingtonandstocktontimes.co.uk/news/national/uk-today/20242125.time-wake-love-island/

The Cisco Umbrella rank of the primary domain is #553,012 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Service unavailable

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

technology software

(64%)

Domain Information

The domain 'www.darlingtonandstocktontimes.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) and includes subdomain 'www'. Count 26 characters in 'darlingtonandstocktontimes' holding eight vowels versus 18 consonants. Tokenizing the label suggests 4 words: darlington, and, stockton, times. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.darlingtonandstocktontimes.co.uk/news/national/uk-today/20242125.time-wake-love-island/

Page Load Overview

0.27s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:109 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
cryptocurrency blockchain
56%
healthcare medical
55%
social media network
53%
documentation technical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0104.26.12.204United States
AS13335Cloudflare, Inc.
0142.251.110.95United States
AS15169Google LLC
0142.251.13.157United States
AS15169Google LLC
093.174.10.105Newport, Wales, United Kingdom
AS20860Iomart Cloud Services Limited
0150.171.109.193United States
AS8075Microsoft Corporation
018.66.102.86United States
AS16509Amazon.com, Inc.
0151.101.1.155United States
AS54113Fastly, Inc.
28--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F213A5D09F6140AF14358283AFB36512AA0F94348DDCF297A5C9648CFC95F299D234D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:B/ptZMQwhjVAxcAxg+h5QjJTpNV6B8Lyj:5pjMJhpqGjJTpuO0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1358:AAAAAAAAAAAAASEQCAAAAAAAFAAAAAAAAAUAAACgQACAAAAAAAAQAgAAAQAAgAAAAAABAABAIAAAAAAAAAIAAAJCIBAAAAAA

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:3fbfffffffffffff
Perceptual Hash:870707070707c7ff
Difference Hash:c040000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#79d292

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data