Security Scan Report: eventchecker-jn.netlify.app

Submitted: Jul 11, 2026, 3:50:04 PMCompleted: Jul 11, 2026, 3:51:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is eventchecker-jn.netlify.app and was registered NaN years ago.

Submitted URL: https://eventchecker-jn.netlify.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious forms, scripts, or IoC matches; risk is low despite being unranked and having an unknown subdomain age.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Subdomain creation date unknown (could be brand‑new)
Safety Factors
No malicious scripts or behavioral signals
No external links or cross‑origin form submissions
No known malicious kits or YARA hits
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'eventchecker-jn.netlify.app' is registered; it also runs on subdomain 'eventchecker-jn'. The registrable portion 'netlify' spans 7 characters containing 2 vowels alongside 5 consonants. Word splitting yields three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eventchecker-jn.netlify.app/

Page Load Overview

0.22s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:13 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
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, 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

T1A69002F9A09120096C2035A40CD513420E2546542009BA19599025A4881851D886218A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ63agz:qzxO9631z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d93ab1e3ea0494bf970c3b031a646259

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:7fffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#783a4a

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data