Security Scan Report: ultravioleta-ten.vercel.app

Submitted: Sep 28, 2026, 6:50:56 PMCompleted: Sep 28, 2026, 6:51:30 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 75%

1
Risk Score

Innocuous Vercel 404 error page with no forms, no brand impersonation, and no Indicators of Compromise. Generic shared-hosting abuse tags carry no content-malware weight.

Safety Factors (5)
No credential or payment forms present
No brand impersonation — page shows no third-party branding
No threat-intel, YARA, or Safe Browsing hits
No cross-origin requests or credential exfiltration
Page content is an innocuous hosting-platform error page
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'ultravioleta-ten.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ultravioleta-ten'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ultravioleta-ten.vercel.app/

Page Load Overview

0.65s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
33%
healthcare medical
31%
government public service
31%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1F1FC917061363FF63388621897511D313CE007FD275EDA998A86F09ADE5E23A3FD85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjF5WG7XOuT24gEcy5m:Wurh84BFynOBYWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OA0eAMJQgt4AAEjirKEYhBAArBcAopQCrNgJSCHXQjDIgCZCbB0AjIgAoglDMDYCYCLMkhUQUnAKPASGoATVAApQ

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0c00000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:#b9e06c

Other Hashes

Crop Resistant:0000080c0c00000c

Scan History

Scan history not available

Unable to load historical scan data