Security Scan Report: www.cancelatusegurocardiffbancolpersona.vercel.app

Redirected to:
https://cancelatusegurocardiffbancolpersona.vercel.app/
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Submitted: Jul 10, 2026, 12:45:11 AMCompleted: Jul 10, 2026, 12:46:35 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 4 domains to perform 26 HTTP transactions. The main domain is cancelatusegurocardiffbancolpersona.vercel.app and was registered NaN years ago.

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

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site impersonates Bancolombia/Cardiff branding on an unranked Vercel subdomain without collecting credentials; treat as moderate risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript or network activity detected
No external threat‑intel matches
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 3
Domain age information unavailable

Details

Page Title

Seguros Cardiff | Bancolombia

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

government public service

(87%)

Domain Information

The domain name 'www.cancelatusegurocardiffbancolpersona.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.cancelatusegurocardiffbancolpersona'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Word splitting yields 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://www.cancelatusegurocardiffbancolpersona.vercel.app/

Page Load Overview

13.02s
Total Load Time
26
HTTP Requests
4
Domains
386 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:2,203 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service87% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
87%
finance banking
86%
corporate business
73%
healthcare medical
70%
news media journalism
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.67United States
AS16509Amazon.com, Inc.
564.29.17.67United States
AS16509Amazon.com, Inc.
564.29.17.3United States
AS16509Amazon.com, Inc.
5142.251.20.95Google · CDNUnited States
AS15169Google LLC
5142.251.20.94Google · CDNUnited States
AS15169Google LLC
265--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11ED29317A1F22137A4139D94B7F26F5E6568C103E40885787A9C11C8CFFADE9DDA3A8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Uvh+QroRB+HQ+VA2+g9mDM6F+YNdJrfBRWDyQ9lzjKFswL0ibWMlrdKPx5+DVONP:UvhzcyJStFqFXw04uNxyIIiZaChjnAfA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29121:RAhhxDjBMVORii6UtQPUAYzkDIUBQ2IAQgJI4YwwAENEBonYSwBQDQAqMYIB6gCkxSJGEAAMkYoQwohxk2DmIiVdCG8HqAAI

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:ff002020202200ff
Perceptual Hash:8368bc15fa53c39c
Difference Hash:95d5c5cdc4d4dccc
Wavelet Hash:ff006064347e06ff
Color Hash:#ac5384

Scan History

Scan history not available

Unable to load historical scan data