Security Scan Report: lovveto.sbs

Submitted: Mar 21, 2026, 12:59:08 AMCompleted: Mar 21, 2026, 1:00:34 AMpubliccompleted
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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 lovveto.sbs and was registered NaN years ago.

Submitted URL: https://lovveto.sbs/

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Site impersonates Telegram on a brand‑new, unranked domain; confirmed scam – avoid and report.

Risk Factors
Brand impersonation (Telegram branding on unrelated domain)
Domain is brand new (1‑day old) – typical of phishing sites
Domain is unranked and not in top 1 M sites
High JavaScript obfuscation score suggesting concealed behavior
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, 'lovveto.sbs' is registered with no subdomain. Count 7 characters in 'lovveto' holding 3 vowels versus 4 consonants. Breaking it apart gives 2 words: lov, veto. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.35s
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 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
13149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
13104.21.52.97United 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

T185F14F62F764E83A2357027D35D1F10E87E2A447D381AA50B9E972E60F8FDA7C0E7215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t13OQYp9XY5qc75ZhE58h:KtSGsk3OQ29XY5RHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7808:WRSyIRAsHCQAFKhkEUWHAIIiyiQxrCQQ8pEygAx0JEAFoiBEBIGRBYAAQGAEQTEzPADsDoh0oqIoZAEgUDxOACjQyCuKDqEE

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:b333cc8c3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:fce4e4e420303030
Color Hash:#c5af87

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data