Security Scan Report: owa.dzne.de

Redirected to: https://owa.dzne.de/owa/auth/logon.aspx?replaceCurrent=1&url=https%3a%2f%2fowa.dzne.de%2fowa%2f

Submitted: Mar 16, 2026, 4:23:45 PMCompleted: Mar 16, 2026, 4:25:06 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is owa.dzne.de.

Submitted URL: https://owa.dzne.de

Effective URL: https://owa.dzne.de/owa/auth/logon.aspx?replaceCurrent=1&url=https%3a%2f%2fowa.dzne.de%2fowa%2fRedirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Phishing page impersonating Outlook login on a newly registered, unranked domain.

Risk Factors
Brand impersonation of Outlook
Login form on a newly registered, unranked domain
Domain age unknown (likely <7 days)
Mimics a legitimate service on an unusual domain
Absence of any legitimate organizational content
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(83%)

Domain Information

Within the German country-code top-level domain (.de), 'owa.dzne.de' is registered with subdomain 'owa'. The core label 'dzne' covers 4 characters with 1 vowel and three consonants. Splitting it apart reveals 2 words: dz, ne. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://owa.dzne.de

Page Load Overview

0.47s
Total Load Time
6
HTTP Requests
1
Domains
148 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:521 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
82%
news media journalism
68%
healthcare medical
63%
government public service
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6193.175.154.52Bonn, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
61--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T159439E3FA9572C332867607463DBB28A3F2A8417824ED924387C1758EF81D76417EBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EyDwuJmtz7e05NnfviyaD2xbkzdKV7aQblNoJmgK4e2FuzpQnclYtcY:WtzK05N3aD2xbEkF5F4nFuscScY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57112:RUkGmQFgyUKhCBgCAwRMBcO4iEqowRtEAQDwZjeQ5EQMNAIcE5ASUUAqKigbgmUAGxdwAEYHAIqQBRAGWJANwlEwBCYInC7C

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:3f3f3f3f3f3f3f3f
Perceptual Hash:83f677010989d9fc
Difference Hash:d0ccccd8d8d0d0d0
Wavelet Hash:3f273f3f3f0f0000
Color Hash:#73e06c

Scan History

Scan history not available

Unable to load historical scan data