Security Scan Report: vdhedheb.vercel.app

Submitted: Jul 3, 2026, 12:45:47 AMCompleted: Jul 3, 2026, 12:50:01 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/vincular.html

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Impersonates Banco Pichincha and is flagged by Google Safe Browsing as a phishing page – high risk, avoid interaction.

Risk Factors
Brand impersonation of Banco Pichincha
Unranked / low‑reputation domain
Unknown subdomain age on a hosting platform
Google Safe Browsing social engineering threat
Domain age information unavailable

Details

Page Title

Centro de Asignaciones | Exclusividad clientes

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

finance banking

(46%)

Domain Information

Within the application-focused generic top-level domain (.app), 'vdhedheb.vercel.app' is registered, featuring subdomain 'vdhedheb'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. It segments into 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.92s
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:234 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking46% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
46%

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

T17DB1A42B22D504526353E1E039E39B1F2570D517C601866C7DAC2490CF4EEE685B7BE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:K2xZB1tMiLsH9mGMNKP1tADGxsJe9hTrldyQ5NiAHciAbiA7iAnidOK3qSBEOIsG:K2xZB1tMiLsH9mGMNKP1WDGxsJGhTy6+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5466:YIHIITSCgIBCASAAjwYgEIQIpASAAAEQEiABJC6L4EDAwCCAJDFTSJFAhoMBreAAIAoAqCAEQcASkMIIAAABAQJEQAwNAEAI

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:ffffe7e7e7e7ffff
Perceptual Hash:a6cccc3333666699
Difference Hash:0c324d4d4d4d300c
Wavelet Hash:f3f3c3c3c0c0c0fc
Color Hash:#783a53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data