Security Scan Report: webmailxcueu89-klausefncoi.appwrite.network

Submitted: Mar 31, 2026, 8:52:26 PMCompleted: Mar 31, 2026, 8:53:43 PMpubliccompleted
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Summary

This website contacted 7 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: 80%

8
Risk Score

Phishing login page impersonating Pannlampor; likely attempts to harvest credentials.

Risk Factors
Email address in URL fragment
Brand impersonation on an unusual subdomain (webmailxcueu89‑klausefncoi.appwrite.network)
Cross‑origin POST to an untrusted external domain
Domain age information unavailable

Details

Page Title

Webmail Portal Login - pannlampor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(42%)

Domain Information

Within the .network top-level domain, 'webmailxcueu89-klausefncoi.appwrite.network' is registered and includes subdomain 'webmailxcueu89-klausefncoi'. Its registrable label 'appwrite' stretches across 8 characters holding three vowels versus five consonants. Breaking it apart gives two words: app, write. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.18s
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:111 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism42% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
42%
government public service
36%
documentation technical
29%
technology software
27%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.35.58.104United States
AS16509Amazon.com, Inc.
1151.101.130.137United States
AS54113Fastly, Inc.
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
113.35.58.96United States
AS16509Amazon.com, Inc.
1208.91.114.103Surrey, British Columbia, Canada
AS40934Fortinet Inc.
1151.101.195.52United States
AS54113Fastly, Inc.
1142.251.153.119United States
AS15169Google LLC
97--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E592626629F304211957E5BD7BD763093A21E003990ACD487FAC87489FA6ED2DD3378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:nRC/MiFoY1ALs4tF2ckOIFHCCDByJHRifzgoreyO73Q+VYOvM1PvCG/W7yBPbkr1:RMFYLjFIFiCdTzpCTFB6bkrQBASaxz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20267:YSKKcGlRgyBCUmUAkWwAOAApagRICi7mBZEMEkSFejBq3DmaGChULtJcA2EYRplkgAIAtCAIYkBABHHyIA9ASLDLICbTEmEB

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:dd8f262619990f66
Difference Hash:d22a2a5222120202
Wavelet Hash:20383828faf2f2f2
Color Hash:#d23d2d

Other Hashes

Crop Resistant:d22a2a5222120202

Scan History

Scan history not available

Unable to load historical scan data