Security Scan Report: sv-tigo.cc

Redirected to: https://www.tigo.com.sv/

Submitted: Feb 7, 2026, 4:11:01 PMCompleted: Feb 7, 2026, 4:17:10 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is tigo.com.sv.

Submitted URL: http://sv-tigo.cc/

Effective URL: https://www.tigo.com.sv/Redirected

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

The site redirects to the official Tigo El Salvador domain with no malicious indicators.

Safety Factors
Brand verification via final URL
Absence of forms collecting sensitive data
Clean threat intelligence profile
Secure HTTPS connection
Domain age information unavailable

Details

Page Title

La primera Red 5G de El Salvador | Tigo El Salvador

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

entertainment media

(95%)

Domain Information

Domain 'sv-tigo.cc' uses the .cc country-code top-level domain without a subdomain. The registrable portion 'sv-tigo' spans 7 characters split between 2 vowels and 4 consonants, along with one hyphen. Splitting it apart reveals 3 words: sv, ti, go. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sv-tigo.cc/

Page Load Overview

90.14s
Total Load Time
284
HTTP Requests
15
Domains
2.7 MB
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-SV
Text Length:6,917 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media95% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
95%
real estate property
94%
government public service
70%
finance banking
68%
technology software
66%

Detected Features

OG: Website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1243.135.174.254Santa Clara, California, United States
AS132203Tencent Building, Kejizhongyi Avenue
2841--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC08CB7C021890FAB3026F8C9827894AF08920DC1321E44B6D0E2A6F448EEB848329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYaXEQoqa:qzxV/5VHHoB96D3ne1k9Ycw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:348fc553335bda82dffebf49122dd182

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#53aca9

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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