Security Scan Report: memelol-vwh05wu2ds.edgeone.app

Submitted: May 12, 2026, 6:43:17 PMCompleted: May 12, 2026, 6:45:03 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is memelol-vwh05wu2ds.edgeone.app and was registered NaN years ago.

Submitted URL: https://memelol-vwh05wu2ds.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: 80%

2
Risk Score

Low risk site with no malicious indicators; likely benign.

Risk Factors
Low domain ranking
Subdomain on hosting platform with unknown age
Safety Factors
No forms or payment fields
No credential exfiltration observed
No IoC or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'memelol-vwh05wu2ds.edgeone.app' is registered, featuring subdomain 'memelol-vwh05wu2ds'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Segmentation suggests 2 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://memelol-vwh05wu2ds.edgeone.app/

Page Load Overview

0.87s
Total Load Time
3
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:3 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2C022ABC0C6904ACE22F5CAA22272091807B42CC0015A809CE4B48BE44CD13CCF324C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6UzUbAO0GbpEnmycSLw3eGUo5iMIVEVnwVEMCDl7JQHrFFyNUEVE5FVG:qzxO96Vr0GbEPjLw3eGtYfVEH9EwaVEz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:983f122afc4b87e8c0d7b0cb9c3002af

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:7fffffffffffffff
Perceptual Hash:800000031fffffff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#98d279

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data