Security Scan Report: www.santander-remaster-whats-fb.vercel.app

Redirected to:
https://santander-remaster-whats-fb.vercel.app/
Submitted: Sep 17, 2026, 12:45:24 AMCompleted: Sep 17, 2026, 12:47:13 AMpubliccompleted

This website contacted 7 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is santander-remaster-whats-fb.vercel.app and was registered 14 years ago.

Submitted URL: http://www.santander-remaster-whats-fb.vercel.app/

Effective URL:

https://santander-remaster-whats-fb.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Non-official vercel.app subdomain impersonating Santander with a loan-offer funnel. No forms or malware detected, but brand impersonation of a major bank makes this a high-risk fraud page — do not engage.

Risk Factors (4)
Impersonation of a major bank (Santander) on a mismatched, unranked domain
Suspicious subdomain naming suggesting a messaging/social-media funnel
New/unknown-age content on a free hosting subdomain
Financial offer with urgency and 'preapproved clients' framing
Domain age information unavailable

Details

Page Title

Préstamo Personal Santander

Scan Type

public

Domain Name Analysis

Domain 'www.santander-remaster-whats-fb.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.santander-remaster-whats-fb'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.santander-remaster-whats-fb.vercel.app/

Page Load Overview

36.81s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es-MX
Text Length:652 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking41% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
41%
real estate property
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.110.154Google · CDNUnited States
AS15169Google LLC
079.127.237.161Datacamp · CDNLondon, England, United Kingdom
AS60068Datacamp Limited
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.97Google · CDNUnited States
AS15169Google LLC
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
27--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B520F6B69A30052B417D4E82FB29B1A77A4E403D50AC9683FDC6398CFC6CD59C6379C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Yj5lzk9p74jqSnlmQHFSTnQYfVGYhqcNYuFIfIsdbyaIs7byHi4BeYzBgrYV9vEy:W5lzk98LHG3ZFotzcMMIi2HV8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13505:gOmQdoMTCjA2NIMBotCuoQj2EJUYAFAEVQqglJBKhAYAIjgQBJIQNUIIwA8AIVEJVA2EgZMRSBQRI7wOJYQD7GhqAcQjXUMY

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:c3c3e7c7c7ffffff
Perceptual Hash:f76683c69bc98988
Difference Hash:8e8e0e0e0e0c0c1c
Wavelet Hash:c2c2c2c2c2e6e7e7
Color Hash:#e0776c

Scan History

Scan history not available

Unable to load historical scan data