ScanMalware.com

Security Scan Report: webmailxcueu89-klausefncoi.appwrite.network

Submitted: Mar 27, 2026, 10:36:58 AMCompleted: Mar 27, 2026, 10:38:19 AMpubliccompleted
Loading additional data...

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

Moderate Risk

Confidence: 70%

5
Risk Score

The site mimics an RDS webmail login page without forms, using a phishing‑style URL fragment and external POST; moderate risk of brand impersonation.

Risk Factors
Brand impersonation of RDS on non‑official domain
Phishing lure: email address in URL fragment
External POST to suspicious domain (taquilax.cam)
Suspicious JavaScript code generation
Safety Factors
Domain age >4 years (well‑established)
No credential or payment forms
No Indicators of Compromise matches
No YARA malware detections
No IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Webmail Portal Login - rds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(48%)

Domain Information

Domain 'webmailxcueu89-klausefncoi.appwrite.network' uses the .network top-level domain; it also runs on subdomain 'webmailxcueu89-klausefncoi'. Count 8 characters in 'appwrite' with 3 vowels and 5 consonants. It segments into two words: app, write. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.29s
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:90 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism48% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
48%
government public service
47%
technology software
37%
healthcare medical
34%
documentation technical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.157.119United States
AS15169Google LLC
1142.251.151.119United States
AS15169Google LLC
113.35.58.104United States
AS16509Amazon.com, Inc.
1151.101.195.52United States
AS54113Fastly, Inc.
1208.91.114.103Surrey, British Columbia, Canada
AS40934Fortinet Inc.
1151.101.2.137United States
AS54113Fastly, Inc.
1178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
113.35.58.119United States
AS16509Amazon.com, Inc.
98--

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

T15A92726629F308211997A5BD7BD763053A21E003990ACD487FAC87489FA6ED2DD3378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:nWZTMiFoY1ALs4tF2ckOIFHCCDByJHRif5gBreyO73Q+VYOvM1PvCG/W7yBPbkr2:WZtFYLjFIFiCdT5mCTFB6bkrQBASaxQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20197:QFAcCKhVEMKAIObSHBdCrigeCkBShBhlFgdGEMEB0iAnRAFChooNFhSGU7ezRIySJBmx0BhZIQKgPBACK2KAQUCMpRkqgFwx

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:9d8b26261b192fe6
Difference Hash:d6223a5222120202
Wavelet Hash:04383a2a3a3e3e3e
Color Hash:#4c40bf

Other Hashes

Crop Resistant:d6223a5222120202

Scan History

Scan history not available

Unable to load historical scan data