Security Scan Report: sucursalespersonasvirtual.vercel.app

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Submitted: Jul 11, 2026, 12:45:27 PMCompleted: Jul 11, 2026, 12:47:59 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 3 domains to perform 32 HTTP transactions. The main domain is sucursalespersonasvirtual.vercel.app and was registered NaN years ago.

Submitted URL: https://sucursalespersonasvirtual.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Bancolombia on an unverified Vercel subdomain without collecting credentials, indicating moderate risk of brand impersonation.

Risk Factors
Brand impersonation on unranked hosting subdomain
Unknown subdomain creation date
Critical JavaScript obfuscation score
Safety Factors
No forms collecting credentials or payment data
No Indicators of Compromise or malware YARA matches
No network IDS alerts
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 5
Domain age information unavailable

Details

Page Title

Bancolombia

Scan Type

public

Language

🇪🇸

Spanish

(49% confidence)

Category

finance banking

(42%)

Domain Information

Domain 'sucursalespersonasvirtual.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sucursalespersonasvirtual'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. It segments into two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sucursalespersonasvirtual.vercel.app/

Page Load Overview

5.00s
Total Load Time
32
HTTP Requests
3
Domains
218 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:49%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:49%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,212 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

finance banking42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
42%
government public service
30%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
864.29.17.195United States
AS16509Amazon.com, Inc.
8192.178.183.95Google · CDNUnited States
AS15169Google LLC
8216.198.79.195United States
AS16509Amazon.com, Inc.
324--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BE2F9A1B141CE2AAC67CE9DE3357F38909C9FBBC4A69448D2EDC6A403C7CF45A554E0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:AaxGXPSq9cozgviuTkdjXh76xPTXJ1imj5EjOruIT2t:sdjX16NXJ1FejCTS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31509:gGUyJCgECIyRwACoMCXCEJgYxIna2CgFtECJ1dATxIA4BvJHBEQwF4EoQEdIIgDCEgIm+CRACQHLFkhYKBQJIYUBUkB+jKa1

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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