Security Scan Report: kavvupo.sbs

Submitted: Mar 20, 2026, 4:07:26 PMCompleted: Mar 20, 2026, 4:08:48 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 21 HTTP transactions. The main domain is kavvupo.sbs and was registered NaN years ago.

Submitted URL: https://kavvupo.sbs/

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Fake Telegram login page on a brand‑new, unranked domain – high confidence phishing.

Risk Factors
Brand impersonation of Telegram on a brand‑new, unranked domain
Domain age less than 7 days
Unranked domain suggests low reputation
QR‑code login page used for credential harvesting
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, 'kavvupo.sbs' is registered and has no subdomain. The core label 'kavvupo' covers 7 characters split between three vowels and four consonants. Segmentation suggests four words: ka, v, vu, po. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.44s
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
13172.67.215.131United States
AS13335Cloudflare, Inc.
13149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger 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

T17EF12F62F764E83A2357027C35D1F10E87E2A447D391AA50B9E972E60F8FDA7C0E7215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtSoUZZUG70t13OQYSmaL5qc75ZhE58h:KtSGsk3OQxmaL5RHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7808:WRCyIRAsHCQAFKhkEUWHAYIiyiQxrCQQ85EygAxwJEAFoiBEBIGRBYAAQGAFQTEzPADsDsh0oqIgZAEgUDxOgCjQyCqKDqME

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:e7e7e7e7e7ffffff
Perceptual Hash:b32666999999cc8e
Difference Hash:0c4d4d0c0c000000
Wavelet Hash:27272727233b0f0f
Color Hash:#2dd238

Other Hashes

Crop Resistant:0c4d4d0c0c000000

Scan History

Scan history not available

Unable to load historical scan data