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

Confirmed Scam

Confidence: 92%

9
Risk Score

New subdomain with visible login fields likely phishing; do not submit credentials.

Risk Factors
New subdomain on a free hosting platform presenting a login form
Credential collection fields (username/password) on a domain with unknown/very recent age
Absence of any legitimate content or supporting information
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