Security Scan Report: wooden-gray-bgao9epg0w-fzdrz4ip8h.edgeone.app

Submitted: Nov 25, 2025, 10:29:41 AMCompleted: Nov 25, 2025, 10:32:07 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is wooden-gray-bgao9epg0w-fzdrz4ip8h.edgeone.app.

Submitted URL: https://wooden-gray-bgao9epg0w-fzdrz4ip8h.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

Lua Max-Protection Obfuscator (HTML)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Within the application-focused generic top-level domain (.app), 'wooden-gray-bgao9epg0w-fzdrz4ip8h.edgeone.app' is registered and includes subdomain 'wooden-gray-bgao9epg0w-fzdrz4ip8h'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wooden-gray-bgao9epg0w-fzdrz4ip8h.edgeone.app/

Page Load Overview

0.15s
Total Load Time
2
HTTP Requests
1
Domains
10 KB
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:919 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
56%
government public service
49%
cryptocurrency blockchain
49%
news media journalism
39%

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

T1AC62295633C328744BE3A0A7AAD7E5587038A2035559849CF9CC95906F92E1C83FBFE9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:1rPbu4KdGpeDaU4WJlXgRAR/mkvwI05Kyzt01Lq/S/ts1+oGUOHs:lHYGpeDft/mkvw15zz+1Lq/Kts1lGU/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15299:KI6ANsFBIMKABBAxoUMGkVIGLODAgT5qZaRsk4ZMhmUkDAhEgBSWhEEiJo5IAgAK2GLLUdUEgsAcAGyih0CICAGkQgCTCCKh

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:ff0c0cc0e00000ff
Perceptual Hash:d91b9f64e4648e70
Difference Hash:0658788490640001
Wavelet Hash:ff0c0cc0e000feff
Color Hash:#a0d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data