Security Scan Report: agricultural-pink-1auop9hxml-yt7kes0k1m.edgeone.app

Submitted: Feb 21, 2026, 9:55:11 AMCompleted: Feb 21, 2026, 9:56:19 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is agricultural-pink-1auop9hxml-yt7kes0k1m.edgeone.app and was registered NaN years ago.

Submitted URL: https://agricultural-pink-1auop9hxml-yt7kes0k1m.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

agricultural-pink-1auop9hxml-yt7kes0k1m.edgeone.app

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

news media journalism

(25%)

Domain Information

The domain 'agricultural-pink-1auop9hxml-yt7kes0k1m.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'agricultural-pink-1auop9hxml-yt7kes0k1m'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://agricultural-pink-1auop9hxml-yt7kes0k1m.edgeone.app/

Page Load Overview

0.48s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism25% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:XfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8Olda:ohoC9JSqzzbs6o3Sj3gcrsQ2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:CSCgAIMYP0JTssxAQEwDAA0BkAhQIwiyAgJBAgLRUCYgAbGmgZmQ8StwLnICJCCiFhQGa0iRoVJAQARGEdzEpuQZgBAYB0Ea

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:f0d0c0c4f0f0f0f0
Color Hash:#862d78

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data