Security Scan Report: tigovseop.sbs

Redirected to:
https://www.tigo.com.sv/
Submitted: Apr 8, 2026, 9:37:10 AMCompleted: Apr 8, 2026, 9:38:54 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 tigo.com.sv.

Submitted URL: http://tigovseop.sbs/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New, unranked domain impersonates Tigo brand and redirects to the real site; confirmed scam.

Risk Factors
Brand impersonation (domain mismatch with brand)
Brand‑new domain (<7 days)
Unranked / low‑reputation domain
Domain age information unavailable

Details

Page Title

Error 524 - A timeout occurred

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

real estate property

(98%)

Domain Information

The domain name 'tigovseop.sbs' uses the .sbs top-level domain with no subdomain. Its registrable label 'tigovseop' stretches across 9 characters holding four vowels versus five consonants. Tokenizing the label suggests 4 words: ti, go, vse, op. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://tigovseop.sbs/

Page Load Overview

2.62s
Total Load Time
341
HTTP Requests
22
Domains
5.7 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:8,041 chars
Detector Agreement:80%

Website Classification

Primary Category

real estate property98% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
98%
finance banking
91%
cryptocurrency blockchain
90%
corporate business
86%
technology software
85%

Detected Features

OG: Website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34143.164.194.177São Paulo, São Paulo, Brazil
AS132203Tencent Building, Kejizhongyi Avenue
3411--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B451020B63E6411EBCC5A42C2BE3114536D8D943E12ED2E87F9D6208CF9D6E0DD9974D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T4zUnCGEDaaH9hRJ67+UfFyclV3VYdLh1ku4vL2prMvMBa5:T4DGoBJ6iQFyYFYP1pmKKMBa5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3039:AAQEABaAAAYGhIADCjABRIAAAAACAAADMEECIAAIDMAAEgAAAAYIgAIAgRABABgDAAGCAAQClAEIDABkQCEETAABAxRRAAgA

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:201c0c3c00000000
Perceptual Hash:9a986c6767633139
Difference Hash:6031996920000000
Wavelet Hash:3c3c0c3cc0c0f0f0
Color Hash:#ad79d2

Other Hashes

Crop Resistant:6031996920000000

Scan History

Scan history not available

Unable to load historical scan data