Security Scan Report: sucpersonasbogo.vercel.app

Submitted: Sep 30, 2026, 12:45:23 AMCompleted: Sep 30, 2026, 12:46:40 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

Bogus Banco de Bogotá 'Banca Virtual' login page on a free vercel.app subdomain that harvests document numbers and the bank's Clave Segura. Classic credential phishing — do not enter any data.

Risk Factors (4)
Brand impersonation of Banco de Bogotá on a non-official domain
Harvests banking access credentials (document number + Clave Segura) on a hosting-platform subdomain
Unranked domain falsely presenting as a major bank's online banking portal
Shared/free hosting namespace with no verifiable ownership or age
Safety Factors (4)
No malware/YARA patterns detected
External IP-lookup calls (ipify/ipinfo) are common and not credential exfiltration
No cross-origin form submission detected
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 9 to 5
Domain age information unavailable

Details

Page Title

Bogota

Scan Type

public

Domain Name Analysis

Domain 'sucpersonasbogo.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'sucpersonasbogo'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and four consonants. Word splitting yields two 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 https://sucpersonasbogo.vercel.app/

Page Load Overview

6.79s
Total Load Time
75 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:346 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1162.55.133.187Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
127--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F2242635DF3083242E351DD1AA756093D70C1039D4AC909BEAC9BE09F57E9EC9B729C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:K5tSVyzvBW1UJ9TumLWNPSiziciSiKNiPiTaIdiPiTzsp7ZyGDlXm:ctSScUWy6SiziciSiIiPihdiPiZGDl2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10152:JpD0GDhICCUOEdIIeQzRARRDAAA51gAiVAEIDQgAAs4LBIIoJEQQiVQTCz8GEpNljQUQlSAEisYk6SFQkVBKXaKEUaEasosA

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:fffff0f0d0d0ffff
Perceptual Hash:e80f953c6ec37838
Difference Hash:602ea1e5a5b1c6a0
Wavelet Hash:3e1e70701050fe7e
Color Hash:#2d8649

Other Hashes

Crop Resistant:602ea1e5a5b1c6a0

Scan History

Scan history not available

Unable to load historical scan data