Security Scan Report: eventimja.vercel.app

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Submitted: Oct 1, 2026, 6:51:20 AMCompleted: Oct 1, 2026, 6:52:16 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Unofficial Eventim-branded page on vercel.app with no forms or malware indicators; cannot verify legitimacy. Use caution.

Risk Factors (2)
Unofficial vercel.app subdomain referencing Eventim brand
Hosted on shared cloud platform with unknown subdomain age
Safety Factors (5)
No forms or credential/payment fields
No Indicators of Compromise matches
No JavaScript malware patterns detected
No credential exfiltration or cross-origin form submissions
No third-party scripts loaded
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'eventimja.vercel.app' is registered and includes subdomain 'eventimja'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eventimja.vercel.app/

Page Load Overview

3.50s
Total Load Time
4.6 MB
Total Size

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:26%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:62 chars
Detector Agreement:100%
Language mismatch: Declared as pt-BR but detected as ca

Website Classification

Primary Category

adult content85% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
85%
entertainment media
73%
news media journalism
54%
healthcare medical
52%
government public service
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
102--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AF2C421F6011006626BC647F8A19BCEB02A9243DF335EC9B6B17B11EE53DEF1913B64

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:jwDH/yEYXMrF0X/p9hsftUgrpBzWtS3qsD45KjX+XVX/SStnDXBLRN9anO7lSR1s:jZEYXMrF0B94XpBqmQxdj4I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37611:coKwCQBiKHDkEkICgQCKlQCNisIZETHSEAkLtCBFIIEoEK8CDksSCmeFAygQAwtQAEIpjAAqEsUMBRsCxELggCXABQIDgCHB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data