Security Scan Report: telsur-pagos.vercel.app

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Submitted: Jul 10, 2026, 12:50:03 AMCompleted: Jul 10, 2026, 12:51:11 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is telsur-pagos.vercel.app and was registered NaN years ago.

Submitted URL: https://telsur-pagos.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics the Telsur brand on an unranked Vercel subdomain, includes a form collecting personal IDs, and lacks strong malicious signals, resulting in a moderate risk rating.

Risk Factors
Brand impersonation on mismatched domain
Unknown subdomain age on hosting platform
Presence of a data-collection form (RUT field)
Unranked domain reputation
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

Telsur | Pago de Cuentas

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

social media network

(99%)

Domain Information

You're looking at domain 'telsur-pagos.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'telsur-pagos'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Breaking it apart gives 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://telsur-pagos.vercel.app/

Page Load Overview

1.11s
Total Load Time
19
HTTP Requests
1
Domains
52 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-CL
Text Length:242 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
54%
finance banking
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.198.79.3United States
AS16509Amazon.com, Inc.
964.29.17.3United States
AS16509Amazon.com, Inc.
192--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D03E9BAE701DEFCC4874F48953E7E3D525F64AEE235CAA456ECC92402C28BD95B5C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NBYutA5toQYQYOYUB+yox0R/Uk1WIRoGYdafAE/ZWpVFVegFxGXNDMT97u:lAQwnsa/ZgS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39647:ABAghQVhHBVQoCaQbYkCAAIY2FGJVpwBUIC5AppCmCAFmjQR47EOcckoQSBGJlSOlcQApsCCOgAQQAsLwD025MGFANuSBAEE

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:bfc3c3ffffffff3f
Perceptual Hash:a7649b998fcc2721
Difference Hash:410e0e0404000061
Wavelet Hash:00c3c3e73c3cff00
Color Hash:#864a2d

Other Hashes

Crop Resistant:410e0e0404000061

Scan History

Scan history not available

Unable to load historical scan data