Security Scan Report: deuna.vercel.app

Submitted: Jul 31, 2026, 2:51:44 PMCompleted: Jul 31, 2026, 2:53:19 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 deuna.vercel.app and was registered NaN years ago.

Submitted URL: https://deuna.vercel.app/login.html

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

You're looking at domain 'deuna.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'deuna'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals 2 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://deuna.vercel.app/login.html

Page Load Overview

5.22s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service60% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
60%
cryptocurrency blockchain
60%
news media journalism
56%
healthcare medical
53%
real estate property
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195United States
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

T1B03154B745B1702EF33B88FE34E633646244951BC0520F59B658AFB8E2D7CA79023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz79b0:TGi9ScnwEY9b0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIBJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQQAABAAAAGAAAQABEAggIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699999966999998
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce420383c24
Color Hash:#1f9329

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data