Security Scan Report: webmailxcueu89-klausefncoi.appwrite.network

Submitted: Mar 27, 2026, 6:27:00 AMCompleted: Mar 27, 2026, 6:28:23 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

High Risk

Confidence: 85%

8
Risk Score

Impersonates Arkivet login on an unrelated domain; likely phishing – do not enter credentials and report.

Risk Factors
Brand impersonation on an unrelated domain
Email address embedded in URL fragment
Login‑like fields without a proper form (potential credential harvesting)
Suspicious cross‑origin network request to an unknown domain
Domain age information unavailable

Details

Page Title

Webmail Portal Login - arkivet

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(43%)

Domain Information

The domain name 'webmailxcueu89-klausefncoi.appwrite.network' uses the .network top-level domain, featuring subdomain 'webmailxcueu89-klausefncoi'. Count 8 characters in 'appwrite' holding 3 vowels versus 5 consonants. Splitting it apart reveals two 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@arkivet.se

Page Load Overview

1.31s
Total Load Time
9
HTTP Requests
6
Domains
126 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:102 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism43% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
43%
government public service
38%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
113.35.58.10United States
AS16509Amazon.com, Inc.
1208.91.114.103Surrey, British Columbia, Canada
AS40934Fortinet Inc.
113.35.58.104United States
AS16509Amazon.com, Inc.
1142.251.150.119United States
AS15169Google LLC
1142.251.152.119United States
AS15169Google LLC
1151.101.195.52United States
AS54113Fastly, Inc.
1151.101.130.137United States
AS54113Fastly, Inc.
1151.101.66.137United 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

T13692626629F304211957A5BD7BD763053A21E003990ACD487FAC87489FA6ED2DD3378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:n0k8LMiFoY1ALs4tF2ckOIFHCCDByJHRifyXAVgOreyO73Q+VYOvM1PvCG/W7yBm:fOFYLjFIFiCdT/tCTFB6bkrQBASaxN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20237:AxSCYEBypgqaMQwt+CgCJgghxolA9ZAsPBEmhwwgT3UgxQEIpDUIYgTgAgcEDFSTRpDEwI9HKAMoBMFA5EwVFGIoEjJRYMwQ

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:38383828faf2f2f2
Color Hash:#40bf4c

Other Hashes

Crop Resistant:d62a2a5222120202

Scan History

Scan history not available

Unable to load historical scan data