Security Scan Report: leia-santander.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 3 domains to perform 53 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://leia-santander.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Santander credit-card page on a vercel.app subdomain using the bank's brand plus a phone-data callback form; primary domain reported as phishing. Not an official Santander site — do not submit any data.

Risk Factors (5)
Impersonation of a different entity's brand (Santander) on a domain that is not Santander's official domain
Primary-domain threat-intel phishing report
Personal-data / callback form soliciting phone number under a bank brand
Placeholder lorem ipsum text inconsistent with a genuine bank site
Free instant hosting subdomain with content copying a financial brand
Domain age information unavailable

Details

Page Title

LikeU

Scan Type

public

Domain Name Analysis

The domain 'leia-santander.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'leia-santander'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Breaking it apart gives 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 https://leia-santander.vercel.app/

Page Load Overview

3.37s
Total Load Time
793 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:5,062 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
95%
corporate business
91%
finance banking
85%
healthcare medical
85%
government public service
84%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
43.5.245.235Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
4104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
43.5.245.207Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
452.95.142.30Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
43.5.246.116Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
452.95.144.38Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
43.5.245.215Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
416.12.17.42Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
5312--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12433DA206E8047766AD34FDEF9E1F72FF062910EC317C8A8D6AC5246C3C9D448B65799

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7YvHXQjlekfFPeBwGnTkRyieD+9fqCR25As32WWCeXnSq434m4w4KoksmqQp:aslWBy8Z88oNzfBmnp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55104:qBGzWeKFScKAiITmIJ5RahybBUQAKTG4g6JkAAFycAAQBQKgVERAQzWJEobgAiQzF1HBARIw0AjhZpGMG1GEACGLCUG8opWh

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:ff0123234b0038ff
Perceptual Hash:a126de59b0c6e9a9
Difference Hash:4befebcb9bd3d1c8
Wavelet Hash:ff0123274b0838ff
Color Hash:#785b3a

Scan History

Scan history not available

Unable to load historical scan data