ScanMalware.com

Security Scan Report: www.preaprovvecol.vercel.app

Redirected to:
https://preaprovvecol.vercel.app/seguro.php
Submitted: Aug 14, 2026, 12:45:19 PMCompleted: Aug 14, 2026, 12:47:02 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 2 HTTP transactions. The main domain is preaprovvecol.vercel.app and was registered NaN years ago.

Submitted URL: http://www.preaprovvecol.vercel.app/

Effective URL: https://preaprovvecol.vercel.app/seguro.phpRedirected

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Impersonates Bancolombia on an unknown‑age Vercel subdomain with a social‑engineering warning; moderate risk.

Risk Factors
Brand impersonation of Bancolombia on unrelated subdomain
Unranked / low‑reputation domain
Unknown subdomain age (could be brand‑new)
Google Safe Browsing social engineering warning
Domain age information unavailable

Details

Page Title

Bancolombia - Tarjeta Virtual

Scan Type

public

Language

🇪🇸

Spanish

(48% confidence)

Category

real estate property

(95%)

Domain Information

Domain 'www.preaprovvecol.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.preaprovvecol'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.preaprovvecol.vercel.app/

Page Load Overview

22.88s
Total Load Time
105
HTTP Requests
7
Domains
5.0 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:48%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:7,172 chars
Detector Agreement:100%
Language mismatch: Declared as en-US but detected as es

Website Classification

Primary Category

real estate property95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
95%
finance banking
94%
e-commerce shopping
74%
government public service
60%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2064.29.17.131United States
AS16509Amazon.com, Inc.
17104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17142.251.127.94Google · CDNUnited States
AS15169Google LLC
17142.251.13.95Google · CDNUnited States
AS15169Google LLC
17142.251.110.95Google · CDNUnited States
AS15169Google LLC
17151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1056--

Page Statistics

105
Requests
7
Unique Domains
5.3 MB
Total Size

Detected Technologies3

JQueryv2.1.1
100%
jsDelivr
20%
Google Hosted Libraries
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D24C7516BE7090BA54340A5ABA72B463554D003C10BCE79BFDC1768EFC7AC9CCA76AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:yhLAU0JBvvG3OFFrDKO6p+0qXQ2+b/6QOR49C84UwXZBsNtiJ6LII/OSMH9Da3D7:yhKDc80qT49psk3D0jWD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:212206:BEgsFOkieJIRspkwmqgBQLQChOMhVgaQCysCEGNMjCImQYOIABPdKAAKiVBpoCuQQRaJlEkJFAGamDjCZPQkCmQTYTRRq4AI

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:6f000000ffffffff
Perceptual Hash:b818d3e3c3e4e4e4
Difference Hash:cdb9b7bba64c085a
Wavelet Hash:2f00000007ffffff
Color Hash:#4046bf

Other Hashes

Crop Resistant:cdb9b7bba64c085a

Scan History

Scan history not available

Unable to load historical scan data