Security Scan Report: www.aumentocupo-transaccional.vercel.app

Redirected to:
https://aumentocupo-transaccional.vercel.app/
Submitted: Jul 26, 2026, 12:45:26 PMCompleted: Jul 26, 2026, 12:48:25 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is aumentocupo-transaccional.vercel.app and was registered NaN years ago.

Submitted URL: https://www.aumentocupo-transaccional.vercel.app/

Effective URL: https://aumentocupo-transaccional.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site impersonates Bancolombia without collecting credentials; moderate risk due to brand mismatch and unknown subdomain age.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age on hosting platform
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 5 to 3
Domain age information unavailable

Details

Page Title

Bancolombia - Tarjeta Virtual

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

e-commerce shopping

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'www.aumentocupo-transaccional.vercel.app' is registered, featuring subdomain 'www.aumentocupo-transaccional'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. Breaking it apart gives two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.aumentocupo-transaccional.vercel.app/

Page Load Overview

19.31s
Total Load Time
21
HTTP Requests
5
Domains
487 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:1,483 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping68% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
68%
finance banking
67%
adult content
67%
government public service
57%
news media journalism
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.67United States
AS16509Amazon.com, Inc.
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
464.29.17.3United States
AS16509Amazon.com, Inc.
4142.251.13.95Google · CDNUnited States
AS15169Google LLC
215--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19783A55A15B3042A2C1360F9ABD9A689B236E187DE1FDDA57EDC1101DFCABD09DD3308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7Zh8Ysy2bwhRGmpT9t1TkPsmqR8UaS4caHI4eKO/S9h:7UwhMmpT9t1TcsmqR8UaS4cao4eKO/S3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86841:S2IRQIDhFxhHGsBlAoqoCAAIQUAJ0AQgLlLQARgGAtUIKgAsGhQAMCoAygiAQhUSgYdLBRFuFZeO4oggQq8whiSQixK0UREB

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:0c0000ffffffffff
Perceptual Hash:a42439dbdbc26666
Difference Hash:dbd7e6263a6a0e96
Wavelet Hash:000000f2ffffe7c7
Color Hash:#6cb9e0

Scan History

Scan history not available

Unable to load historical scan data