Security Scan Report: rmzb.online

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

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Submitted: Feb 4, 2026, 8:53:33 AMCompleted: Feb 4, 2026, 8:57:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is rmzb.online and was registered NaN years ago.

Submitted URL: http://rmzb.online/

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Phishing site impersonating a Nextcloud login on a brand‑new unranked domain.

Risk Factors
Brand impersonation / typosquatting
Newly registered domain (<7 days) with credential collection form
Unranked domain lacking reputation
Login form on a domain that does not belong to the claimed brand
Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

The domain 'rmzb.online' uses the modern generic top-level domain (.online) with no subdomain. The registrable portion 'rmzb' spans 4 characters with 0 vowels and four consonants. Splitting it apart reveals 2 words: rm, zb. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.02s
Total Load Time
39
HTTP Requests
1
Domains
143 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:321 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
51%
corporate
25%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3845.182.161.57Ibirama, Santa Catarina, Brazil
AS269281LEONARDO HOFFMANN EIRELI
391--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192736AF5D6F96394158FC3D5EB661895AF3E10FB264981A4722C9BF0AF11898CF87C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HIkPaMxf/N6cw15UxDTti0xhfK6DV/JPsEnOJwNtPDsTSq:Ek2AZzxLDV/JJw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76905:BWIhDnGIlCwItBQQBcEUaAgCC0oiI03kRiiCUJVhIAQFHbeCeQwQQiCIyEAwwFAJghAmoVAjUwIEYgDqEOlBMCoFAE6CLcUR

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:eee7c3e7fffffffe
Perceptual Hash:f7225588dd88dd89
Difference Hash:080c1e0800000000
Wavelet Hash:1e0703270f0f0f0e
Color Hash:#e06c92

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data