Security Scan Report: lovveto.sbs

Redirected to: https://lovveto.sbs/

Submitted: Mar 25, 2026, 4:33:01 AMCompleted: Mar 25, 2026, 4:34:29 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: http://lovveto.sbs/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

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

Risk Factors
Brand impersonation (Telegram branding on unrelated domain)
Newly registered domain (<7 days)
Unranked domain (low reputation)
High JavaScript obfuscation score
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 without a subdomain. Count 7 characters in 'lovveto' holding 3 vowels versus 4 consonants. Tokenizing the label suggests two words: lov, veto. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.01s
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
14172.67.197.218United 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

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:b323cccc3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:f4e4e4e4e0f0f0f0
Color Hash:#5390ac

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data