Security Scan Report: bancoprocredit.vercel.app

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Submitted: Oct 1, 2026, 5:50:11 AMCompleted: Oct 1, 2026, 5:50:46 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Fake 'Banco ProCredit' loan site on a Vercel subdomain impersonating a real bank and harvesting ID photos and financial data — classic advance-fee loan scam.

Risk Factors (5)
Impersonation of a different entity's brand (ProCredit banking group) on a non-official domain
Free/shared hosting subdomain (.vercel.app) with unknown true creation date
Domain not present in Cisco Umbrella top 1M (unranked)
Collection of identity document photo and salary/loan details — high-value personal data harvest
Unrealistic 'guaranteed' loan offer terms typical of advance-fee loan fraud
Safety Factors (5)
No JavaScript malware or obfuscated script patterns detected
No cross-origin credential exfiltration observed; all scripts served from own domain
No password or payment/card fields present in the captured DOM
No Indicators of Compromise matched against the page or its loaded resources
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 5
Domain age information unavailable

Details

Page Title

Solicitud de préstamo

Scan Type

public

Domain Name Analysis

You're looking at domain 'bancoprocredit.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'bancoprocredit'. The second-level label 'vercel' is 6 characters long with 2 vowels and 4 consonants. Breaking it apart gives two 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://bancoprocredit.vercel.app/

Page Load Overview

0.60s
Total Load Time
214 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:1,443 chars
Detector Agreement:75%
Language mismatch: Declared as fr but detected as es

Website Classification

Primary Category

finance banking48% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
48%
adult content
34%
healthcare medical
31%
real estate property
31%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
87--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E272946630F304A25C9359E53BE7A35A3A919003DC09C545BFDC8BA58FCAFD09A23A5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:v78DWG4ytuuKMii9U3LjHBM50+JzMIk/4Cr:AWG4iJii9U7jH6508dkj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15984:sUIxBSBLgII9EoqOCIMbvxQ4MQLCAECFm3CIAEUSVhAAEXU1ECLMMCEACCBlsCTPCwdGkBAG4HI/YgrAVIAAe4QQDRMAM2gp

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:00000000ffffffff
Perceptual Hash:ce4e66e6983931b1
Difference Hash:6969717171306868
Wavelet Hash:00000000ffffffff
Color Hash:#6ce0b9

Scan History

Scan history not available

Unable to load historical scan data