Security Scan Report: reluctant-apricot-wddkwmdmws-kva3zrpzyh.edgeone.app

Submitted: Mar 17, 2026, 3:22:32 AMCompleted: Mar 17, 2026, 3:24:01 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 reluctant-apricot-wddkwmdmws-kva3zrpzyh.edgeone.app and was registered NaN years ago.

Submitted URL: https://reluctant-apricot-wddkwmdmws-kva3zrpzyh.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: 93%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Absence of credential or payment forms
No cross‑origin credential exfiltration
No YARA malware detections
No network IDS alerts
Subdomain age unknown but no other red flags
Domain age information unavailable

Details

Page Title

3D Tic-Tac-Toe AI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(78%)

Domain Information

The domain name 'reluctant-apricot-wddkwmdmws-kva3zrpzyh.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'reluctant-apricot-wddkwmdmws-kva3zrpzyh'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://reluctant-apricot-wddkwmdmws-kva3zrpzyh.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
9 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:205 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting78% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
78%
technology software
73%
entertainment media
68%
documentation technical
61%
government public service
53%

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

T1A1B2A8AC54F31425E437B0B91BEB460933B0D113D50ACE18BF6E52C48FC67ADD6AAB58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VrH8CxiheXmg/YzXHlt3SJbe3X6KWLQK938E50ZL:RhEheXmgwzXHlt3SJbe3X6KsjUL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24241:AusGAAbEOjqApQUAF1IWXiQbZAxgCKRkstCMIApBMKAAoAIIaIEDRDgQRAQSQJCF4gC4KhJNIA/WCAQHiCH0AAsrAA6gCK9I

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:1919191818181818
Perceptual Hash:88ac364e6e9b3333
Difference Hash:b3b3b3b3b3b1f1b1
Wavelet Hash:1b5f1b1b19191d1d
Color Hash:#785f3a

Other Hashes

Crop Resistant:b3b2b2b3b3b1f1b1

Scan History

Scan history not available

Unable to load historical scan data