Security Scan Report: daria-4px.pages.dev

Redirected to: https://daria-4px.pages.dev/english/tratop_e/rulesneg_e/fish_e/fish_acceptances_e.htm

Submitted: Jan 25, 2026, 6:48:05 AMCompleted: Jan 25, 2026, 6:49:03 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 111 HTTP transactions. The main domain is daria-4px.pages.dev and was registered NaN years ago.

Submitted URL: https://daria-4px.pages.dev/english/tratop_e/rulesneg_e/fish_e/fish_e.htm

Effective URL: https://daria-4px.pages.dev/english/tratop_e/rulesneg_e/fish_e/fish_acceptances_e.htmRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate informational WTO page with minimal risk.

Safety Factors
No credential or payment collection forms
No malicious JavaScript detected
Informational content about WTO, no brand impersonation
Domain age information unavailable

Details

Page Title

WTO | Agreement on Fisheries Subsidies

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(70%)

Domain Information

The domain name 'daria-4px.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'daria-4px'. The second-level label 'pages' is 5 characters long containing two vowels alongside three consonants. Tokenizing the label suggests one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://daria-4px.pages.dev/english/tratop_e/rulesneg_e/fish_e/fish_e.htm

Page Load Overview

7.61s
Total Load Time
108
HTTP Requests
4
Domains
2.5 MB
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:8,642 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism70% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
70%
government public service
37%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27104.16.80.73United States
AS13335Cloudflare, Inc.
27185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
27104.18.41.190United StatesUnknown
27188.114.96.3United States
AS13335Cloudflare, Inc.
1084--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A636111E9CC506F573315883C50BB1AE39390EAC31E9D1971ACCA1E7FC5FA19913EAA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FD6NalCFmyIdC86Gp4E+bpQMn/ODr+Y5V:FuNalCFmyIY8PSOv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67087:xCKGgYElwChIjygQLIIAghbiDCNqESCYA/wUCkIndwgUAADSTgyyICSDECjkSAANCiJQTGAVHIgBTAM/CYBDkR9RIFAUQQQ4

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:00fffbf9e9f9fbe7
Perceptual Hash:e91e36692b0e2b4d
Difference Hash:2328b2b30b9be2dc
Wavelet Hash:00ff78198181fbc7
Color Hash:#713a78

Scan History

Scan history not available

Unable to load historical scan data