Security Scan Report: webmailxcueu89-klausefncoi.appwrite.network

Submitted: Mar 27, 2026, 6:56:31 AMCompleted: Mar 27, 2026, 6:57:53 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 6 domains to perform 9 HTTP transactions. The main domain is webmailxcueu89-klausefncoi.appwrite.network and was registered NaN years ago.

Submitted URL: https://webmailxcueu89-klausefncoi.appwrite.network/#[email protected]

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

Phishing login page impersonating Dejten; do not enter credentials and report as scam.

Risk Factors
Brand impersonation (mimics Dejten login page)
Phishing lure via email address in URL fragment
Cross‑origin POST to unknown domain (potential credential exfiltration)
Untrusted external domain (taquilax.cam) used in script
502 Bad Gateway page displaying login fields – suspicious error handling
Domain age information unavailable

Details

Page Title

Webmail Portal Login - dejten

Scan Type

public

Language

🇳🇱

Dutch

(55% confidence)

Category

adult content

(57%)

Domain Information

Within the .network top-level domain, 'webmailxcueu89-klausefncoi.appwrite.network' is registered, featuring subdomain 'webmailxcueu89-klausefncoi'. Its registrable label 'appwrite' stretches across 8 characters with three vowels and 5 consonants. Tokenizing the label suggests 2 words: app, write. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://webmailxcueu89-klausefncoi.appwrite.network/#contact@dejten.se

Page Load Overview

2.47s
Total Load Time
9
HTTP Requests
6
Domains
126 KB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:55%
Script Type:Latin
HTML Lang Attribute:en
Text Length:99 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as nl

Website Classification

Primary Category

adult content57% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
57%
news media journalism
52%
government public service
42%
documentation technical
33%
technology software
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1151.101.194.137United States
AS54113Fastly, Inc.
1151.101.2.137United States
AS54113Fastly, Inc.
1142.251.154.119United States
AS15169Google LLC
113.35.58.104United States
AS16509Amazon.com, Inc.
1208.91.114.103Surrey, British Columbia, Canada
AS40934Fortinet Inc.
113.35.58.96United States
AS16509Amazon.com, Inc.
1142.251.153.119United States
AS15169Google LLC
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1151.101.3.52United States
AS54113Fastly, Inc.
99--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C92726629F308215557E4BD7BDB63053A21E003A90ACD487FAC87489FA6E92DD3378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:nTCMiFoY1ALs4tF2ckOIFHCCDByJHRifTgCreyO73Q+VYOvM1PvCG/W7yBPbkrQw:TiFYLjFIFiCdTTTCTFB6bkrQBASaxR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20227:QARSIRISB0wOsPMBEAsKgTWiYAJfQFjsAhWQEpSpyWxJwl4SagdAtE1wCBSgPAsGIEQIoIKRBCAIKGJsBgeZBnLjAgAWVgJp

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:00bc3c4c38000000
Perceptual Hash:dd8b26261b192f66
Difference Hash:d62a2a5222120202
Wavelet Hash:003838283a3e3e3e
Color Hash:#a2e06c

Other Hashes

Crop Resistant:d62a2a5222120202

Scan History

Scan history not available

Unable to load historical scan data