Security Scan Report: rotten-pink-kza4vyqgne-lbysne9rgc.edgeone.app

Submitted: Feb 19, 2026, 3:03:56 PMCompleted: Feb 19, 2026, 3:05:25 PMpubliccompleted

This website contacted 1 IP in 1 country across 8 domains to perform 27 HTTP transactions. The main domain is rotten-pink-kza4vyqgne-lbysne9rgc.edgeone.app and was registered 3 years 4 months ago.

Submitted URL: https://rotten-pink-kza4vyqgne-lbysne9rgc.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
Low ranking does not outweigh age and lack of threats
Domain age information unavailable

Details

Page Title

Developer ARPON

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'rotten-pink-kza4vyqgne-lbysne9rgc.edgeone.app' is registered, featuring subdomain 'rotten-pink-kza4vyqgne-lbysne9rgc'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rotten-pink-kza4vyqgne-lbysne9rgc.edgeone.app/

Page Load Overview

9.36s
Total Load Time
349 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,281 chars
Detector Agreement:33%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2743.152.26.58Singapore
271--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz22bMy8Old4:JhoC9JSqzzbs6o3Sj3gcrsC2eAe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184616:lgHILMl5iEI/g7DFIDogBKScYVjCoEAAIeASQkEkMrGFoHhgClSJzCFBaCIAMOWmIdBYYoBEGGQAEkyQcxChXiZhiQFVQABI

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:#783a47

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data