Security Scan Report: seydoku.net

Submitted: Dec 19, 2025, 11:45:21 AMCompleted: Dec 19, 2025, 11:45:24 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is seydoku.net and was registered NaN years ago.

Submitted URL: http://seydoku.net/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

New, unranked domain impersonating Nextcloud login – confirmed phishing scam.

Risk Factors
Brand impersonation (Nextcloud) on a newly registered domain
Credential collection fields (account name/email, password) present
Domain is unranked and lacks established reputation
Critical domain age (<7 days) with login interface
Domain age information unavailable

Details

Page Title

Login – Nextcloud

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(64%)

Domain Information

Domain 'seydoku.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. The core label 'seydoku' covers 7 characters containing 3 vowels alongside 4 consonants. Tokenizing the label suggests 3 words: sey, do, ku. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://seydoku.net/

Page Load Overview

1.12s
Total Load Time
0
HTTP Requests
0
Domains
N/A
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:182 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
64%
news media journalism
27%
corporate
25%

Detected Features

OG: website

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173059EB25C4834357A27D315318FA66A332BB1035D22569DD4CE70880FFABED62B257E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:csUNG3ZtB4b6chxpBOSabYKgPZtB4bSUDqNkg2EeFlqkX2tslnD:YGpt3ctkTD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:835807:CQCUFbETMBlQkOCAwBNCFUUqEFMtADjJQagIA7EBwEDw0gp5QpAllgPMJA4FtCkMGIAIiAYqmRMEqTsCB6AC46CBA4EnhaAo

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:008058fdffc7c036
Perceptual Hash:d8592772876085fb
Difference Hash:5533b291958f8fc6
Wavelet Hash:008058ffffefc026
Color Hash:#a653ac

Scan History

Scan history not available

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