Summary
This website contacted 16 IPs in 3 countries across 19 domains to perform 153 HTTP transactions. The main domain is readmancity.com and was registered NaN years ago.
Submitted URL: https://readmancity.com/2026/03/20/antoine-semenyo-says-he-is-ready-for-first-ever-final-with-manchester-city/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article; no security concerns detected.
Safety Factors
Details
Page Title
Antoine Semenyo ‘ready’ for first ever final with Manchester City - Read Man City | Read Man City
Scan Type
public
Language
English
Category
news media journalism
(81%)Domain Information
Domain 'readmancity.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'readmancity' spans 11 characters holding four vowels versus seven consonants. Splitting it apart reveals three words: read, man, city. Average segment length settles at four 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 |
|---|---|---|---|
| 12 | 35.201.127.164 | Kansas City, Missouri, United States | AS396982Google LLC |
| 10 | 54.192.35.118 | United States | |
| 10 | 52.84.221.63 | Ireland | |
| 10 | 13.32.121.41 | Unknown | |
| 10 | 172.66.151.12 | United States | AS13335Cloudflare, Inc. |
| 10 | 34.8.113.107 | Kansas City, Missouri, United States | AS396982Google LLC |
| 10 | 216.58.206.66 | United States | AS15169Google LLC |
| 10 | 185.111.111.156 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 10 | 185.111.111.154 | Unknown | Unknown |
| 10 | 146.75.122.217 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 162 | 16 | - | - |
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
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