Summary
This website contacted 25 IPs in 6 countries across 29 domains to perform 106 HTTP transactions. The main domain is suffolknews.co.uk and was registered NaN years ago.
Submitted URL: https://www.suffolknews.co.uk/ipswich/sport/ipswich-town-column-tough-away-fixtures-should-be-relished-9447112/
The Cisco Umbrella rank of the primary domain is #965,902 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Ipswich Town column: Tough away Championship fixtures at Millwall and Coventry City are ones to be relished
Scan Type
public
Language
English
Category
news media journalism
(42%)Domain Information
Within the United Kingdom country-code top-level domain (.co.uk), 'www.suffolknews.co.uk' is registered with subdomain 'www'. The second-level label 'suffolknews' is 11 characters long split between three vowels and eight consonants. Splitting it apart reveals 2 words: suffolk, news. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 21 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 5 | 23.67.139.70 | Czech Republic | |
| 5 | 176.12.106.21 | Bishop's Stortford, England, United Kingdom | AS50300CustodianDC Limited |
| 5 | 104.16.144.111 | United States | AS13335CLOUDFLARENET |
| 5 | 142.250.184.194 | United States | |
| 5 | 104.16.174.226 | Norway | |
| 5 | 104.21.66.34 | Sweden | |
| 5 | 157.240.0.6 | Unknown | |
| 5 | 142.250.185.234 | Unknown | |
| 5 | 34.111.61.117 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 141 | 25 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data