Security Scan Report: events-api.gomega.ai

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Submitted: Mar 1, 2026, 9:24:38 AMCompleted: Mar 1, 2026, 9:26:27 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is events-api.gomega.ai and was registered NaN years ago.

Submitted URL: https://events-api.gomega.ai

The Cisco Umbrella rank of the primary domain is #351,046 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
Established domain (>365 days)
Low ranking but no malicious activity observed
No external domains or redirects
No JavaScript malware patterns detected
No credential exfiltration behavior
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'events-api.gomega.ai' uses the Anguillan country-code top-level domain (.ai); it also runs on subdomain 'events-api'. The core label 'gomega' covers 6 characters containing three vowels alongside 3 consonants. It segments into two words: go, mega. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://events-api.gomega.ai

Page Load Overview

0.18s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:15 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.168.220United States
AS13335Cloudflare, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7C08072C470011665725FDCCD82A55C4FCDBB0DD4324D41B5C8E4A4DDD7956C403684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLtlYsmS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96Cl5mNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ae93d2a7c816142defe573f4905967f2

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:00ffffffffffffff
Perceptual Hash:83030307071f7f7f
Difference Hash:8000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#86802d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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