Security Scan Report: vdhedheb.vercel.app

Submitted: Jul 10, 2026, 4:51:04 AMCompleted: Jul 10, 2026, 4:52:20 AMpubliccompleted
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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 vdhedheb.vercel.app and was registered NaN years ago.

Submitted URL: https://vdhedheb.vercel.app/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Page shows strong phishing indicators despite lacking forms; treat as high‑risk credential phishing.

Risk Factors
Unranked / low‑reputation subdomain
Social engineering Safe Browsing alert
Login‑style title and OCR text suggesting credential collection
Domain age information unavailable

Details

Page Title

Centro de Asignaciones | Exclusividad clientes

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

healthcare medical

(37%)

Domain Information

The domain name 'vdhedheb.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'vdhedheb'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.21s
Total Load Time
3
HTTP Requests
1
Domains
71 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:135 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical37% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
37%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131United States
AS16509Amazon.com, Inc.
31--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A061532330A504599297D1D43AB29B4F2966C213BB098470BEEC2980CFCDBC685B77D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:108X3L03+wDZTTfBD/jsJeaHyirBj19lAMj:108X3L03+wDZXfBD/jsJ9vAMj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3248:AAEAbAAxAAEAAAKgaCAAGQAAAgCAAEwUEBYwCAIAAAUAYAAACAAACAAAAASAEIAAGABgIgY2SAACAIgEYACCAAAEABBAADBA

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:ffffffffe7e7ffe7
Perceptual Hash:b399cc669999668c
Difference Hash:000032324c4d300c
Wavelet Hash:0f0f1b1b1b030303
Color Hash:#d22d6f

Other Hashes

Crop Resistant:000032324c4d300c

Scan History

Scan history not available

Unable to load historical scan data