Security Scan Report: cancelcardiffbahora.vercel.app

Redirected to:
https://cancelcardiffbahora.vercel.app/
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Submitted: Aug 10, 2026, 12:45:33 PMCompleted: Aug 10, 2026, 12:49:09 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is cancelcardiffbahora.vercel.app and was registered NaN years ago.

Submitted URL: http://cancelcardiffbahora.vercel.app/

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site impersonates Bancolombia/Seguros Cardiff without collecting credentials, posing moderate brand‑impersonation risk.

Risk Factors
Brand impersonation on mismatched domain
Unknown subdomain age
Unranked / low‑reputation domain
Safety Factors
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

Within the application-focused generic top-level domain (.app), 'cancelcardiffbahora.vercel.app' is registered, featuring subdomain 'cancelcardiffbahora'. Count 6 characters in 'vercel' split between two vowels and 4 consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://cancelcardiffbahora.vercel.app/

Page Load Overview

1.37s
Total Load Time
26
HTTP Requests
3
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
13142.251.14.95Google · CDNUnited States
AS15169Google LLC
1364.29.17.67United States
AS16509Amazon.com, Inc.
262--

Page Statistics

26
Requests
3
Unique Domains
429.3 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13FD29317A1F22137A4139D94B7F25F5E6568C103E40885787A9C12C8CFFADE9DDA3A8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Uvh+QroRB+HQ+VA2+g9mDM6F+YNdJrfBRWDyQ9lzjKFswL0ibWMlrdKPx5+DVONf:UvhzcyJStFqFXw04uNxyIItZaCMjnAfA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29083:9gxggCGhLgBiQ3AAEgUQDKRCiwIGAVGAyIKcKbjAKdVoAEnaygLdGIAkhwoAZCYNgGKSgAQcouQZwAFzxl0A8IfgECQK8ghs

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:#2d77d2

Scan History

Scan history not available

Unable to load historical scan data