Security Scan Report: fdhtyh.pages.dev

Redirected to: https://ann.nl.tab.digital/login

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Submitted: Dec 28, 2025, 9:36:52 AMCompleted: Dec 28, 2025, 9:37:16 AMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 2 domains to perform 26 HTTP transactions. The main domain is ann.nl.tab.digital and was registered NaN years ago.

Submitted URL: http://fdhtyh.pages.dev/

Effective URL: https://ann.nl.tab.digital/loginRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page impersonating Nextcloud login

Risk Factors
Brand impersonation of Nextcloud on an unrelated domain
Credential harvesting password field
Unranked domain lacking reputable reputation
Redirect from unrelated subdomain (fdhtyh.pages.dev) to suspicious login page
Domain age information unavailable

Details

Page Title

Login – Nextcloud

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(41%)

Domain Information

The domain name 'fdhtyh.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'fdhtyh'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://fdhtyh.pages.dev/

Page Load Overview

3.91s
Total Load Time
26
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:370 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
41%
corporate
25%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26172.67.130.170UnknownUnknown
01--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176059EB25C4438357A27D315318FA6AE331BB1035D22569DD4CE71880BFABEC62B257E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:UsUNmVZtB4b6chxpBOSabYKgPZtB4bSUDqNkg2EeFlqkcAsloO:AmPt3ctkzO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:823237:wAIXiUAQAAIYuAwENExMCyQEoRGFzZC2APgEwIoZoqYAOVCIbJgMm6ZEGoRAyAxoChpkUgFIsSQBpxKAKIAEEHAZCCCamZbI

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:00181818387ec100
Perceptual Hash:c91c36e31c70cb3e
Difference Hash:d0f0b2b2f1d08733
Wavelet Hash:007878f8fcfee310
Color Hash:#412d86

Scan History

Scan history not available

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