Security Scan Report: sulvege.sbs

Submitted: Mar 23, 2026, 1:18:16 AMCompleted: Mar 23, 2026, 1:19:43 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 sulvege.sbs and was registered NaN years ago.

Submitted URL: https://sulvege.sbs/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

The site impersonates Telegram on a brand‑new, unranked domain – confirmed scam.

Risk Factors
Brand impersonation (Telegram branding on unrelated domain)
Domain age 3 days (critical new domain)
Domain unranked in Cisco Umbrella (poor reputation)
Meta tag and page content mismatch with domain
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

The domain 'sulvege.sbs' uses the .sbs top-level domain while skipping any subdomain. The core label 'sulvege' covers 7 characters containing 3 vowels alongside 4 consonants. Segmentation suggests 3 words: sul, ve, ge. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.75s
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
13188.114.96.3United 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

T165F12E62F764E83A2357027C35D1F10E8AE2A447D3D1AA50B9E972E50F8FDA780E7315

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t13OQY1tzQ5qc75ZhE58h:KtSGsk3OQutzQ5RHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7808:WRCyIRAsHCQAFKhlEUWHgIIi2iQxrCUQ8pEygAxwJEAFoiBEBIGRBYAAQGAkQTEzPADsDoh0oqIgdAEgUDxOACjQyiqKDqEE

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:fce4e4e420303030
Color Hash:#c5ac87

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data