Security Scan Report: wuncato.sbs

Submitted: Mar 26, 2026, 4:53:29 AMCompleted: Mar 26, 2026, 4:54:54 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is wuncato.sbs and was registered NaN years ago.

Submitted URL: https://wuncato.sbs/

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Impersonates Telegram login on a brand‑new unranked domain; likely phishing – do not use.

Risk Factors
Brand impersonation (Telegram) on unrelated domain
Domain age < 7 days (critical new domain)
Unranked domain with low reputation
High JavaScript obfuscation indicating attempt to hide behavior
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(57%)

Domain Information

You're looking at domain 'wuncato.sbs' on the .sbs top-level domain while skipping any subdomain. Count 7 characters in 'wuncato' with 3 vowels and 4 consonants. Word splitting yields 3 words: wu, nca, to. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.21s
Total Load Time
26
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 network57% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
57%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
13188.114.97.3United States
AS13335Cloudflare, Inc.
262--

Detected Technologies4

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:3f272727243c3030
Color Hash:#e0906c

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data