Security Scan Report: rmzb.online

Redirected to: https://rmzb.online/login

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Submitted: Feb 10, 2026, 10:43:21 PMCompleted: Feb 10, 2026, 10:45:19 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is rmzb.online and was registered NaN years ago.

Submitted URL: https://rmzb.online/

Effective URL: https://rmzb.online/loginRedirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Impersonates Nextcloud login on a brand‑new unranked domain; likely phishing – do not enter credentials.

Risk Factors
Brand impersonation of Nextcloud on a non‑official domain
Very new domain (<30 days) hosting a credential‑harvesting form
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

rmzb.online

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Domain 'rmzb.online' uses the modern generic top-level domain (.online). The registrable portion 'rmzb' spans 4 characters containing 0 vowels alongside 4 consonants. Splitting it apart reveals two words: rm, zb. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rmzb.online/

Page Load Overview

43.64s
Total Load Time
24
HTTP Requests
1
Domains
198 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:283 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
39%
real estate property
28%
corporate
25%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2445.182.161.57Ibirama, Santa Catarina, Brazil
AS269281LEONARDO HOFFMANN EIRELI
241--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE048F77329A063985558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Olde:ChoC9JSqzzbs6o3Sj3gcrs62eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184446:MAGoAUEAU+yMwIEcECBgWSgCAEAgVQMoqWABkBCoLchgYFGbYI+AcAcCxikklMwFIUEVDiwVYmEbUBeFEObYGIJCOSBIwLJw

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:3c1c000c0f0f0f0f
Color Hash:#2d4686

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data