Security Scan Report: webmailxcueu89-klausefncoi.appwrite.network

Submitted: Apr 1, 2026, 1:15:30 AMCompleted: Apr 1, 2026, 1:16:51 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

Moderate Risk

Confidence: 78%

5
Risk Score

Impersonates Patienter login page; email fragment and title indicate credential phishing despite no active form.

Risk Factors
Phishing lure: email address in URL fragment
Brand impersonation: login page title on unrelated domain
Suspicious cross‑origin network request to unknown domain
Safety Factors
Domain age 1372 days (well‑established)
No malicious Indicators of Compromise matches
No JavaScript malware YARA patterns detected
No network IDS alerts
No credential‑harvesting forms present
Domain age information unavailable

Details

Page Title

Webmail Portal Login - patienter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(64%)

Domain Information

Within the .network top-level domain, 'webmailxcueu89-klausefncoi.appwrite.network' is registered with subdomain 'webmailxcueu89-klausefncoi'. Its registrable label 'appwrite' stretches across 8 characters split between three vowels and 5 consonants. Segmentation suggests 2 words: app, write. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.31s
Total Load Time
9
HTTP Requests
6
Domains
233 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:108 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical64% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
64%
government public service
32%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1151.101.131.52United States
AS54113Fastly, Inc.
1208.91.114.103Surrey, British Columbia, Canada
AS40934Fortinet Inc.
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1151.101.130.137United States
AS54113Fastly, Inc.
1142.251.156.119United States
AS15169Google LLC
118.172.112.75United States
AS16509Amazon.com, Inc.
1142.251.153.119United States
AS15169Google LLC
118.172.112.35United States
AS16509Amazon.com, Inc.
1151.101.2.137United 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

T17E92716729F304215957A4BD7BDB63093A31E003990ACD487FAC874C9FA6E829D3378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:nDCPMiFoY1ALs4tF2ckOIFHCCDByJHRif/gGreyO73Q+VYOvM1PvCG/W7yBPbkr7:D2FYLjFIFiCdT/NCTFB6bkrQBASaxV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20257:LhTMQIFGZrAJg8gEhAE1EBpEQFkAQaIFEkEQAAQAuCIYcViqAkZCEAAUMKwYVcsgKDgIECAAyf04uMsCjeRgUgaxoAgDSQIU

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:20383828faf2f2f2
Color Hash:#d2902d

Other Hashes

Crop Resistant:d62a2a5222120202

Scan History

Scan history not available

Unable to load historical scan data