Security Scan Report: webmailxcueu89-klausefncoi.appwrite.network

Submitted: Mar 31, 2026, 7:03:00 PMCompleted: Mar 31, 2026, 7:04:19 PMpubliccompleted
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Summary

This website contacted 8 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

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Yoy webmail login – high risk, do not provide credentials.

Risk Factors
Brand impersonation on an unrelated, unranked domain
Email address in URL fragment (phishing lure)
Cross‑origin request to suspicious external domain
Visible login fields despite no detected form (possible hidden credential capture)
Domain age information unavailable

Details

Page Title

Webmail Portal Login - yoy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(50%)

Domain Information

Domain 'webmailxcueu89-klausefncoi.appwrite.network' uses the .network top-level domain and includes subdomain 'webmailxcueu89-klausefncoi'. The second-level label 'appwrite' is 8 characters long split between three vowels and 5 consonants. Splitting it apart reveals 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/#contact@yoy.se

Page Load Overview

1.10s
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:90 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
50%
government public service
45%
technology software
40%
healthcare medical
35%
documentation technical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.153.119United States
AS15169Google LLC
113.35.58.10United States
AS16509Amazon.com, Inc.
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1151.101.3.52United States
AS54113Fastly, Inc.
1142.251.156.119United States
AS15169Google LLC
1151.101.2.137United States
AS54113Fastly, Inc.
1208.91.114.103Surrey, British Columbia, Canada
AS40934Fortinet Inc.
1151.101.66.137United States
AS54113Fastly, Inc.
98--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12292726729F304211957A4BD7BDB63093A21E003990ACD487FAC87489FA6ED2DD3378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:nmpMiFoY1ALs4tF2ckOIFHCCDByJHRifpg1reyO73Q+VYOvM1PvCG/W7yBPbkrQv:m3FYLjFIFiCdTpeCTFB6bkrQBASaxc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20197:xVIAiChFEODA4QdQFQgCBiwaA1lK6RohFgcEBoADaIAFRQEApppuBhxGW7t2QwrS3BGR0AlRAQykFBADKiDAQcIPgAoQBA14

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:d2223a5222120202
Wavelet Hash:00383828faf2f2f2
Color Hash:#ac538d

Other Hashes

Crop Resistant:d2223a5222120202

Scan History

Scan history not available

Unable to load historical scan data