Security Scan Report: eventchecker-s5.netlify.app

Redirected to:
https://eventchecker-s5.netlify.app/
Submitted: Sep 30, 2026, 4:52:24 PMCompleted: Sep 30, 2026, 4:53:16 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is eventchecker-s5.netlify.app and was registered 8 years ago.

Submitted URL: http://eventchecker-s5.netlify.app

Effective URL:

https://eventchecker-s5.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Single-source phishing report on the primary Netlify subdomain; the page is a bare redirect with no forms. Automatic escalation for a primary-domain phishing indicator sets minimum HIGH_RISK.

Risk Factors (2)
Primary domain reported as phishing by PhishDestroy (single-source, unverified)
Hosted on free Netlify subdomain with unknown actual subdomain creation date
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'eventchecker-s5.netlify.app' is registered with subdomain 'eventchecker-s5'. Count 7 characters in 'netlify' with 2 vowels and 5 consonants. Breaking it apart gives 3 words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://eventchecker-s5.netlify.app

Page Load Overview

0.73s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

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
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
31--

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:#2dd256

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data