Security Scan Report: suitable-apricot-fx2gy7dxq9-zhhd8pxa9a.edgeone.app

Submitted: Mar 26, 2026, 9:07:13 AMCompleted: Mar 26, 2026, 9:08:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is suitable-apricot-fx2gy7dxq9-zhhd8pxa9a.edgeone.app and was registered NaN years ago.

Submitted URL: https://suitable-apricot-fx2gy7dxq9-zhhd8pxa9a.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Page shows no malicious forms or indicators; unknown subdomain age but overall low risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking in Cisco Umbrella
Safety Factors
No forms collecting credentials or payment data
No malicious indicators (IoC, YARA, IDS alerts)
Self‑branding content, not impersonating a known brand
JavaScript obfuscation score low (standard minification)
Domain age information unavailable

Details

Page Title

LuaLand.DRSL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(77%)

Domain Information

The domain 'suitable-apricot-fx2gy7dxq9-zhhd8pxa9a.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'suitable-apricot-fx2gy7dxq9-zhhd8pxa9a'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Segmentation suggests two 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://suitable-apricot-fx2gy7dxq9-zhhd8pxa9a.edgeone.app/

Page Load Overview

0.33s
Total Load Time
2
HTTP Requests
1
Domains
6 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:1,270 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network77% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
77%
documentation technical
60%
technology software
59%
adult content
29%

Detected Features

Login Form

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

T19FB2C52630F21576449351BA76D7C71835B0A007DA09E6243DBC66849FCAFE88EE73CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fI9A9Y7585Bhfrg/bwYZiMAFt1zhgNiDDDLIfHpx99l1t1jmcaJ1+X5ZRgPFxlZc:gG/kB54PlShiTVKV6rvJ0JdS9nBS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25295:QuxyAhAiXBnx5jAPBlDcAGPZMEICASCHOvpYhAOMcOxJ7AxFANgAwhCFQhYEAQnJFgjADhCBCAT45QwjALA6oq1jlA0k+AnW

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:18383c1800000000
Perceptual Hash:cccccc3333333333
Difference Hash:3020202010000000
Wavelet Hash:fcfcfcfc00000000
Color Hash:#53ac9c

Other Hashes

Crop Resistant:3020202010000000

Scan History

Scan history not available

Unable to load historical scan data