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Security Scan Report: webmailxcueu89-klausefncoi.appwrite.network

Submitted: Apr 1, 2026, 8:37:12 AMCompleted: Apr 1, 2026, 8:38:29 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: 88%

8
Risk Score

Phishing login page impersonating 1f; avoid and report.

Risk Factors
Brand impersonation on an unranked, unrelated domain
Phishing lure via email address in URL fragment
Credential harvesting login fields (email/password)
Cross‑origin data exfiltration to an unknown domain
Domain age information unavailable

Details

Page Title

Webmail Portal Login - 1f

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(50%)

Domain Information

You're looking at domain 'webmailxcueu89-klausefncoi.appwrite.network' on the .network top-level domain with subdomain 'webmailxcueu89-klausefncoi'. The registrable portion 'appwrite' spans 8 characters split between three vowels and five consonants. It segments into 2 words: app, write. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://webmailxcueu89-klausefncoi.appwrite.network/#info@1f.se

Page Load Overview

1.06s
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:87 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
46%
technology software
37%
healthcare medical
35%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1208.91.114.103Surrey, British Columbia, Canada
AS40934Fortinet Inc.
1151.101.130.137United States
AS54113Fastly, Inc.
1151.101.66.137United States
AS54113Fastly, Inc.
113.35.58.10United States
AS16509Amazon.com, Inc.
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1142.251.157.119United States
AS15169Google LLC
1142.251.151.119United States
AS15169Google LLC
1151.101.131.52United States
AS54113Fastly, Inc.
113.35.58.119United States
AS16509Amazon.com, Inc.
99--

Detected Technologies5

X-UA-Compatible
100%
PasswordField
100%
JQueryv2.2.4
100%
HSTS
40%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B92726629F304211957A5BD7BD763053A21E003990ACD487FAC87489FA6ED2DD3378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:n+NMiFoY1ALs4tF2ckOIFHCCDByJHRiffgBreyO73Q+VYOvM1PvCG/W7yBPbkrQt:+jFYLjFIFiCdTfUCTFB6bkrQBASaxo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20187:MQBFQmCaCoWmgEEYARMEEdBJsMRcggVQQGZdIIAInKVAJYrZeoBJwUgrRkMMwACDRtKZJC1FIGMAjoDCZBYIS12DMIIGCqeg

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:9d8b26261b1b2fc6
Difference Hash:d222325222120202
Wavelet Hash:0c383a2a3a3e3e3e
Color Hash:#b3e06c

Other Hashes

Crop Resistant:d222325222120202

Scan History

Scan history not available

Unable to load historical scan data