Summary
This website contacted 98 IPs in 6 countries across 27 domains to perform 169 HTTP transactions. The main domain is lizzo.komi.io and was registered NaN years ago.
Submitted URL: https://lizzo.komi.io/
The Cisco Umbrella rank of the primary domain is #391,900 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no apparent security concerns.
Safety Factors
Details
Page Title
Lizzo
Scan Type
public
Language
English
Category
entertainment media
(76%)Domain Information
The domain name 'lizzo.komi.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'lizzo'. Count 4 characters in 'komi' split between two vowels and 2 consonants. Breaking it apart gives one word: komi. The median word length lands at 4 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 |
|---|---|---|---|
| 72 | 104.109.250.8 | Glattbrugg, Zurich, Switzerland | AS20940Akamai International B.V. |
| 1 | 3.5.16.24 | United States | AS14618AMAZON-AES |
| 1 | 199.232.172.176 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 1 | 142.251.38.86 | United States | AS15169GOOGLE |
| 1 | 23.216.77.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 199.232.173.91 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 1 | 2.21.240.123 | Stockholm, Stockholm County, Sweden | AS20940Akamai International B.V. |
| 1 | 23.59.48.9 | Ballerup Municipality, Capital Region, Denmark | AS16625AKAMAI-AS |
| 1 | 18.165.140.20 | United States | AS16509AMAZON-02 |
| 1 | 3.5.1.216 | United States | AS14618AMAZON-AES |
| 169 | 98 | - | - |
Detected Technologies5
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
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