Security Scan Report: vamos-contigo-subiendo-de-nivel.vercel.app

Redirected to:
https://suspended-domain.net/
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 3 countries across 8 domains to perform 18 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://vamos-contigo-subiendo-de-nivel.vercel.app/

Effective URL:
https://suspended-domain.net/
Redirected

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

Fake Banco Pichincha 'credit application' loading page on a vercel.app subdomain, backed by another free-host domain named after the bank — bank brand impersonation, not the real bank.

Risk Factors (6)
Impersonation of Banco Pichincha on a non-official domain
Deceptive 'please do not close' loading screen designed to hold the victim in a banking application flow
External dependency on a free-host domain styled after the impersonated bank (pichi-websolocitud.iceiy.com)
Cross-domain redirect to an unrelated, suspended-looking destination
Bot-protection/block-page evasion masking content from automated scanners
Unknown-age shared-hosting subdomain with no established reputation for a financial brand
Domain age information unavailable

Details

Page Title

Preparando su solicitud crediticia

Scan Type

public

Domain Name Analysis

The domain 'vamos-contigo-subiendo-de-nivel.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'vamos-contigo-subiendo-de-nivel'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Word splitting yields two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

BANCO PICHINCHA Preparando su solicitud crediticia No cierre, estamos preparando su solicitud crediticia. ¡Recuerde responder todas sus preguntas, de lo contrario se puede afectar su solicitud! = C...

Page Load Overview

6.28s
Total Load Time
477 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:226 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking77% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
77%
adult content
49%
government public service
42%
healthcare medical
37%
real estate property
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
1185.27.134.153United Kingdom
AS34119Wildcard UK Limited
177.72.1.44London, England, United Kingdom
AS12488Krystal Hosting Ltd
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1811--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BC150768AB301766C43A5686BF756096AB5D007920FC8243FDD9348CFCAB95EC633C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:JDLrJiwsBaT1LqF7oFQvPsRUoJENByskZxA+JMbZ/Mj:JPdiwoa8F7oFQcuoJELyfbA+M/Mj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6109:QhVSHwAYEAcEKABHJMARZjlS4MEwBAABBkNBYCkwMAQCAKoiQgMEEAAYU8QAZmQEAFIAADgKAAQqoT4AGoAOAFgQjkSAI8xz

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:e7000020241800e7
Perceptual Hash:b322a39ba326b399
Difference Hash:0c10004c28281408
Wavelet Hash:e76f03273c000cff
Color Hash:N/A

Other Hashes

Crop Resistant:0c10004c28281408

Scan History

Scan history not available

Unable to load historical scan data