Security Scan Report: omnicanyon.com

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Submitted: Oct 15, 2025, 12:30:50 AMCompleted: Oct 15, 2025, 12:32:06 AMpubliccompleted
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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%

8
Risk Score

High‑risk phishing site impersonating Facebook and offering fake follower boosts.

Risk Factors
Brand impersonation/typosquatting
UNRANKED domain claiming a major brand
Social media follower boost scam content
Domain age information unavailable

Details

Page Title

Nom Nom Nom GIF – Lostfollowers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

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

Security scan screenshot of https://omnicanyon.com/nom-nom-nom-gif/

Page Load Overview

38.99s
Total Load Time
34
HTTP Requests
12
Domains
6.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,561 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
86%
entertainment media
86%
cryptocurrency blockchain
82%
news media journalism
73%
government public service
72%

Detected Features

Search
Articles
OG: video.other
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4146.75.121.155Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1216.58.206.78United States
AS15169GOOGLE
1142.250.185.234United States
AS15169GOOGLE
192.113.16.60Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1216.58.206.35United States
AS15169GOOGLE
1142.250.181.226United States
AS15169GOOGLE
1142.250.184.200United States
AS15169GOOGLE
1142.250.185.226United States
AS15169GOOGLE
192.113.23.95Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1216.239.32.36United States
AS15169GOOGLE
3431--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B413E6B29154543B3EDE9BD8A584F269F2938E08DE029D7373F4125486D2EF360B722D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:voZdapzIJSi4eC9P5Q45W0aWamauaha4hDz9KS:vAapUSi4eA540aWamauaha4B9t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42797:V4gGuFFDMBJBSSAITPVRChSSEAHsVK4BioSNDMAK0xRCA4oQxCsLgQsBjMFzAEKhBSkoRDBI9CyUCTADBkQBmJZAEIjKgRQo

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

Average Hash:7c2c383838383838
Perceptual Hash:c73032c7c9ed6c2c
Difference Hash:d0c8f0e0e0e0e0e0
Wavelet Hash:7c3c38787c783c38
Color Hash:#e06cac

Scan History

Scan history not available

Unable to load historical scan data