Security Scan Report: wuncato.sbs

Redirected to: https://wuncato.sbs/

Submitted: Mar 22, 2026, 4:44:11 PMCompleted: Mar 22, 2026, 4:45:38 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 16 HTTP transactions. The main domain is wuncato.sbs and was registered NaN years ago.

Submitted URL: http://wuncato.sbs/

Effective URL: https://wuncato.sbs/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Page impersonates Telegram login on a brand‑new unranked domain – high‑risk phishing, do not use.

Risk Factors
Brand impersonation (Telegram branding on unrelated domain)
Domain age < 7 days (critical new domain)
Domain unranked in Cisco Umbrella (low reputation)
Mismatch between brand claimed in meta tags and actual domain
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

Within the .sbs top-level domain, 'wuncato.sbs' is registered and has no subdomain. The core label 'wuncato' covers 7 characters split between three vowels and 4 consonants. It segments into three words: wu, nca, to. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.50s
Total Load Time
27
HTTP Requests
3
Domains
33 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:244 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network39% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
39%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14188.114.96.3United States
AS13335Cloudflare, Inc.
13149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
272--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9F13062F764E83A2357027C35D1F10E47E2A447D381AA50B9E972E60F8FDABC0E7215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t13OQYv3B65qc75ZhE58h:KtSGsk3OQ03B65RHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7808:WRCyIRAsHCQAFKhkEUWHAKIiyiQxrCQQ8pEygAxwJEAFoiBEBIGRBYCAQGAEQTUzPADsDoh0oqIgZAEgUDxOACjQyCqODqFE

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:ffffe7e7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:fce4e4e4243c3030
Color Hash:#34862d

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data