Summary
This website contacted 31 IPs in 2 countries across 12 domains to perform 34 HTTP transactions. The main domain is omnicanyon.com.
Submitted URL: https://omnicanyon.com/nom-nom-nom-gif/
AI Security Verdict
High Risk
Confidence: 88%
High‑risk phishing site impersonating Facebook and offering fake follower boosts.
Risk Factors
Details
Page Title
Nom Nom Nom GIF – Lostfollowers
Scan Type
public
Language
English
Category
social media network
(86%)Domain Information
Within the commercial generic top-level domain (.com), 'omnicanyon.com' is registered while skipping any subdomain. The registrable portion 'omnicanyon' spans 10 characters split between four vowels and 6 consonants. Tokenizing the label suggests 2 words: omni, canyon. Median word length is five characters. 'oni' is most common in Bosnian usage. Secondary signals appear in Croatian and Danish. Overall, 'omnicanyon.com' reads as Bosnian.
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 |
|---|---|---|---|
| 4 | 146.75.121.155 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 216.58.206.78 | United States | AS15169GOOGLE |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 92.113.16.60 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 1 | 216.58.206.35 | United States | AS15169GOOGLE |
| 1 | 142.250.181.226 | United States | AS15169GOOGLE |
| 1 | 142.250.184.200 | United States | AS15169GOOGLE |
| 1 | 142.250.185.226 | United States | AS15169GOOGLE |
| 1 | 92.113.23.95 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 34 | 31 | - | - |
Detected Technologies13
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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