Security Scan Report: de-una-app.vercel.app

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Submitted: Sep 25, 2026, 10:50:38 AMCompleted: Sep 25, 2026, 10:52:24 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Likely fake Deuna wallet UI on a free vercel.app subdomain; no credential form, but brand impersonation and financial bait warrant avoidance.

Risk Factors (3)
Suspected impersonation of the Deuna financial brand
Generic page title mismatched from displayed financial content
Free hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Astro Basics

Scan Type

public

Domain Name Analysis

Domain 'de-una-app.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'de-una-app'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://de-una-app.vercel.app/home

Page Load Overview

0.71s
Total Load Time
169 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:262 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

education learning99% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
99%
finance banking
85%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
45--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17BF16B712B8D192EA05F93DF2DE3622A214AFB2D931A82C41DD39EF1F587B51743604B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:/wnvRzjum/dzamkNhDfz5sKLOD0xDXMDDKDfNLLPDzjBDq0YDkMODJGMDsQqD0qy:onvR3zamkNxfz5sKLOD0xDXMDDKDfNL7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7540:K+MwsLCAfANhk5rDR4BwliQCimWBgCCqgIIBKAgCKAcAoAQZyUCMBASQEKgIEAAogmFJDAzgFEDGQeAghfkG8SYXhQ0AoQQN

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:ff0000ff7ff0f0ff
Perceptual Hash:cc19e6c491ec4f1b
Difference Hash:80b17110d0e58508
Wavelet Hash:7f00009f3f70f0e7
Color Hash:#40931f

Scan History

Scan history not available

Unable to load historical scan data