Summary
This website contacted 8 IPs in 3 countries across 8 domains to perform 1 HTTP transaction. The main domain is omgubuntu.co.uk and was registered NaN years ago.
Submitted URL: https://www.omgubuntu.co.uk
The Cisco Umbrella rank of the primary domain is #768,014 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Ubuntu news site with no security concerns.
Safety Factors
Details
Page Title
OMG! Ubuntu - Ubuntu News, Apps, Tips & More
Scan Type
public
Language
English
Category
technology software
(43%)Domain Information
Domain 'www.omgubuntu.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) and includes subdomain 'www'. Its registrable label 'omgubuntu' stretches across 9 characters split between 4 vowels and 5 consonants. Breaking it apart gives 2 words: omg, ubuntu. The median word length lands at 4.5 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 |
|---|---|---|---|
| 11 | 34.233.112.175 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 11 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 11 | 192.0.77.48 | San Francisco, California, United States | AS2635Automattic, Inc |
| 11 | 199.16.173.168 | San Francisco, California, United States | AS2635Automattic, Inc |
| 11 | 146.75.120.134 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 11 | 142.251.208.2 | United States | AS15169Google LLC |
| 11 | 65.109.71.70 | Helsinki, Uusimaa, Finland | AS24940Hetzner Online GmbH |
| 11 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 88 | 8 | - | - |
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
Scan History
Scan history not available
Unable to load historical scan data