Security Scan Report: www.bancolombbia.vercel.app

Redirected to:
https://bancolombbia.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.bancolombbia.vercel.app/

Effective URL:
https://bancolombbia.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Typosquatted vercel.app page impersonating Bancolombia's online banking with a credential-harvesting login form that ships entered data to a Telegram bot. Definitive phishing.

Risk Factors (5)
Brand impersonation of Bancolombia on a look-alike domain that is not the bank's official site
Credential-collecting login form (password + multiple identity fields) on a free hosting subdomain
Telegram bot exfiltration channel embedded in page JavaScript
Fake multi-step authentication flow mimicking online banking
Instant-publish hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Sucursal Virtual Personas - Bancolombia

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.bancolombbia.vercel.app' is registered, featuring subdomain 'www.bancolombbia'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

> Bancolombia Sucursal Virtual Personas O. Antes de hacer clic, confirma Por tu seguridad, nunca compartas tus claves con nadie. Si no eres tú quien está intentando ingresar, cancela la. transacció...

Page Load Overview

6.08s
Total Load Time
80 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:887 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning85% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
85%
finance banking
80%
government public service
67%
technology software
52%
cryptocurrency blockchain
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0192.178.183.94Google · CDNUnited States
AS15169Google LLC
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
67--

Detected Technologies3

40%
Firebasev10.7.1
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CA2D8222265211276A3A6E57BD397872215C003F50688787EEC4298CFCD695DEF7FEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ew0zwopBCRe1zgCMx34qhqYUJ+KwoQcj0be837K1JkjbmIlLsAXb5Wmtr9KPn+Wv:eDeaNoU+KD4Bx3pQyJ9K26tAt8fxyy7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22837:Z0HKQOBMopBAaCgCQiCQScdJQoMhBGVAhgHTIg7AdPBEDhTAIYEAEBgIoiEA5EQpEVWHkAGnYeyDhJLCmEhpgMBRgJRAAGOP

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:e7e7e7efe7e7ffe7
Perceptual Hash:f37322cc33cc26cc
Difference Hash:0c0c0c1c0c0c080c
Wavelet Hash:e6e6c6c6c0c4c6e6
Color Hash:N/A

Other Hashes

Crop Resistant:0c0c0c1c0c0c080c

Scan History

Scan history not available

Unable to load historical scan data