Security Scan Report: usuariobdvq23.vercel.app

Submitted: Jul 24, 2026, 2:45:14 AMCompleted: Jul 24, 2026, 2:46:37 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is usuariobdvq23.vercel.app and was registered NaN years ago.

Submitted URL: https://usuariobdvq23.vercel.app/

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The site impersonates Banco de Venezuela, collects credentials on an unknown-age vercel.app subdomain, and is unranked, indicating a high‑risk phishing page.

Risk Factors
Brand impersonation of a major bank
Credential harvesting form on unknown-age subdomain
Unranked domain and lack of reputation
Hosted on a generic cloud subdomain (vercel.app)
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 3
Domain age information unavailable

Details

Page Title

Banco de Venezuela

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

finance banking

(58%)

Domain Information

You're looking at domain 'usuariobdvq23.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'usuariobdvq23'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Splitting it apart reveals 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://usuariobdvq23.vercel.app/

Page Load Overview

3.67s
Total Load Time
6
HTTP Requests
2
Domains
152 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:154 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
58%
government public service
43%
phishing scam
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.3United States
AS16509Amazon.com, Inc.
3104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
62--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADB1DA96A5F30105B543E0A82BF6570A2B68D603D34FCD293B9C23D5CF8A6859DE37D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:OTY5Q7xZlOOURaJ4S9eNEF5HoJlSd+HEF5JjWKFFTJXMfcb1HeYUGxvoq:OcQ7xZgOURaJ4S9eNEF5HoJlSd+HEF5P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5589:pkSAAEIIEhBIB2WwAoAAoFUwBMIQwVg5QBhCMmAAykAYiQYEIAAgSIQGAhUEkEkEQQKSBQwiAEwJAQEAAGQgiCwCaAACBQAr

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:ffffff9f9fffffff
Perceptual Hash:9ec3e13c1ec3c13c
Difference Hash:0020003028002000
Wavelet Hash:f0f000000000f0f0
Color Hash:#d279c3

Other Hashes

Crop Resistant:0020003028002000

Scan History

Scan history not available

Unable to load historical scan data