Security Scan Report: triqu.vercel.app

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Submitted: Jul 7, 2026, 12:45:40 AMCompleted: Jul 7, 2026, 12:49:08 AMpubliccompleted
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Summary

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

Submitted URL: https://triqu.vercel.app/tc

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page mimics Bancolombia branding on an unranked Vercel subdomain, lacks forms, but shows moderate risk due to brand impersonation and unknown age.

Risk Factors
Brand impersonation without legitimate brand domain
Unknown subdomain age on a hosting platform
Unranked / low‑reputation domain
High JavaScript obfuscation score
Safety Factors
No credential or payment forms detected
No Indicators of Compromise matches
No malicious YARA patterns
No network IDS alerts
Domain age information unavailable

Details

Page Title

Tarjeta de Crédito Bancolombia | Solicita la tuya

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'triqu.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'triqu'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://triqu.vercel.app/tc

Page Load Overview

3.27s
Total Load Time
16
HTTP Requests
1
Domains
228 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:698 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1664.29.17.67United States
AS16509Amazon.com, Inc.
161--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B232A7269801DD0FA87B4DDCA1797F3B00CDD57BD526D86CA2BECA540382DB59F958C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:/v04ZueFP3hnvZmclyIsk+6qy9/MfQ15X/V+8N3UgJD0V:n0uue/vZrjFLQ8xlg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11754:aAQgxFkVgVCQCdA1YCIsCCIANUEEAnbmMJYakI65lUBiyMAAzEGkPKgRAEgr0FQikkTBwghHFZAoAICzCgOhKBMgutAsHEBE

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:ffffc3c3e7c3c7c3
Perceptual Hash:b1cc9893cd666593
Difference Hash:129696968e8e8e96
Wavelet Hash:fec2c2c2c3c3c3c3
Color Hash:#c5b187

Scan History

Scan history not available

Unable to load historical scan data