Security Scan Report: dying-green-uf5muith06-5swf9h4lw9.edgeone.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is edgeone.app and was registered 3 years 6 months ago.

Submitted URL: https://dying-green-uf5muith06-5swf9h4lw9.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 malicious indicators detected; the site appears legitimate and safe.

Safety Factors (5)
No credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation, typical minified code
Content appears to be a generic web‑dev tool, not brand‑specific
Hosted on a known development platform (edgeone.app) without suspicious activity
Domain age information unavailable

Details

Page Title

Arena Web Dev App

Scan Type

public

Domain Name Analysis

The domain name 'dying-green-uf5muith06-5swf9h4lw9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'dying-green-uf5muith06-5swf9h4lw9'. Count 7 characters in 'edgeone' with four vowels and three consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

0.50s
Total Load Time
320 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:43%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:468 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

technology software89% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
89%
documentation technical
69%
finance banking
53%
cryptocurrency blockchain
51%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5745BD871A9B5269BE341F440AF060772392852340C84A4F22CEEDB7F7544A61BBFBD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:cGlYtsj2mt4DB4T6DtfxTdsLcE7PnL9kkJSVOMKlf7T0zQPatCK6CrrZgFi6sQmk:w4ghOL/Pnxk2S0plfP0eUrqFi6sQm5dE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:347529:URgY1cQjpQAAQBB4SyQAYHRCRQIBgKgOooDgQiFyCleJyiHYYAjGLmSAEVbAsQhQChARAACJGKYAMK6JhkoVQAAc8JZZAAHI

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:607c7e0e7e7e0000
Perceptual Hash:93c16ce1323ae766
Difference Hash:d4d0ccd8d8dc3802
Wavelet Hash:627e7e3e7e7e0000
Color Hash:N/A

Other Hashes

Crop Resistant:d4d0ccd8d8dc3802

Scan History

Scan history not available

Unable to load historical scan data