Security Scan Report: eventimja.vercel.app

Site favicon
Submitted: Aug 3, 2026, 6:50:36 PMCompleted: Aug 3, 2026, 6:52:01 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site shows high JS obfuscation but lacks forms, IoCs, or malware; treat as moderate risk.

Risk Factors
High JavaScript obfuscation score
Unranked domain and unknown subdomain age
Safety Factors
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

You're looking at domain 'eventimja.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'eventimja'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. It segments into 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.12s
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
10216.198.79.131United States
AS16509Amazon.com, Inc.
101--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6D26232F600111AA26B8657F9509BCEF11A5202DE731ECAB2B17B60FE63DDF5813B54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:jwDH/yEYXMrF0X/p9hsftUgrpBzWtS3qsDm5KjX+XVX/SStnDKBLRN9anxaFSR1K:jZEYXMrF0B94XpBqmCKj7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30455:AMXR5CITcUFUEQC2AEAIB46BPkITEMEaCCGCtRfgoGBMphymy+IEO4QAAiRsQwKIikM1HCB+RwSAgkgGhqCCrCKALBGA0JZe

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:00000000000000ff
Perceptual Hash:ff00807f8000ff7f
Difference Hash:0000008000408000
Wavelet Hash:000000008080f2ff
Color Hash:#2d3186

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data