Security Scan Report: triqu.vercel.app

Redirected to:
https://triqu.vercel.app/tc
Site favicon
Submitted: Jul 7, 2026, 12:45:41 AMCompleted: Jul 7, 2026, 12:49:11 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: http://triqu.vercel.app/

Effective URL: https://triqu.vercel.app/tcRedirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site impersonates Bancolombia without collecting credentials; moderate risk due to brand mismatch and unknown subdomain age.

Risk Factors
Brand impersonation on mismatched domain
Unranked domain (not in Cisco Umbrella top 1M)
Unknown subdomain age on Vercel hosting
High JavaScript obfuscation score (though not malicious alone)
Safety Factors
No forms collecting credentials or payment data
No malicious IoC or YARA detections
No network IDS alerts
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 5
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

The domain name 'triqu.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'triqu'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.99s
Total Load Time
20
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
20216.198.79.3United States
AS16509Amazon.com, Inc.
201--

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:#a0d279

Scan History

Scan history not available

Unable to load historical scan data