Security Scan Report: aumentatucupya.vercel.app

Redirected to:
https://www.bancolombia.com/personas
Site favicon
Submitted: Completed: publiccompleted
This website contacted 59 IPs in 2 countries across 35 domains to perform 214 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://www.bancolombia.com/personas
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Page hosts critical phishing‑related malware despite redirecting to a legitimate bank site; treat as confirmed scam.

Risk Factors (3)
Critical malicious JavaScript patterns
Phishing indicator IoC (unverified but corroborated by YARA)
No legitimate credential/payment forms present
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), 'aumentatucupya.vercel.app' is registered with subdomain 'aumentatucupya'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. Segmentation suggests 2 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://aumentatucupya.vercel.app/

Page Load Overview

9.18s
Total Load Time
21.6 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:11,423 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

finance banking76% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
76%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4023.194.190.151Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3162.159.140.229Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.157.4Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
318.173.205.13Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3184.86.251.13Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.251.151.119Google · CDNUnited States
AS15169Google LLC
3142.251.152.4Google · CDNUnited States
AS15169Google LLC
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
21459--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17AE30830CD962837465752C9F3689B75B2A2A61BE941442BF2FC47DE2FC0C9AE58731C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:F1ilss2KGo9LN4sO5KAK6KkYqycExqecbvUyvW6MvjF:2GoxN4sO5KAK6KkYRHcbcyZk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156196:Kl1GDQKACIBTNIQF4B6AECwYAKcAeolyEQQAZBswCCM1ECTUQAUrlIHYLdToRFAtEJOQJoYigFK7oLokQBEApmwAgeA5AiFU

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:ff003c3c3c380000
Perceptual Hash:cbd534e58b948ab4
Difference Hash:8616696961630631
Wavelet Hash:ffa13c3c3c3c8381
Color Hash:#bf404f

Scan History

Scan history not available

Unable to load historical scan data