Security Scan Report: embarrassed-aquamarine-wwdbyfzbex-a7nxz3jmzc.edgeone.app

Submitted: Mar 19, 2026, 1:27:11 PMCompleted: Mar 19, 2026, 1:28:31 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is embarrassed-aquamarine-wwdbyfzbex-a7nxz3jmzc.edgeone.app and was registered NaN years ago.

Submitted URL: https://embarrassed-aquamarine-wwdbyfzbex-a7nxz3jmzc.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: 95%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Standard external CDN (cdn.jsdelivr.net) used
No redirects or cross‑origin credential exfiltration
Low Cisco Umbrella ranking but no other malicious signals
Domain age information unavailable

Details

Page Title

Face Lock Memo

Scan Type

public

Language

🇪🇸

Spanish

(29% confidence)

Category

adult content

(59%)

Domain Information

Within the application-focused generic top-level domain (.app), 'embarrassed-aquamarine-wwdbyfzbex-a7nxz3jmzc.edgeone.app' is registered, featuring subdomain 'embarrassed-aquamarine-wwdbyfzbex-a7nxz3jmzc'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 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://embarrassed-aquamarine-wwdbyfzbex-a7nxz3jmzc.edgeone.app/

Page Load Overview

0.96s
Total Load Time
9
HTTP Requests
2
Domains
5.0 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:29%
Script Type:Latin
Text Length:55 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
59%
healthcare medical
47%
documentation technical
45%
news media journalism
43%
government public service
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
4151.101.1.229United States
92--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C51725F342B0D36C07601553C22A36AB561C6137B1AAAE49C6FE88994E847644BAAB4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:XQPw3vcQeRUP3FHH1+Jc+aGg6lpJtXiLdfY+tZ7Z13KRGAXwUutdAeAjSuE1DAyZ:XQPwfcQeqFndUlpGOmz7AHuvAe6wf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2816:EBAUAUAAEAAggQABAAABXAAARAAEAAEApIAIAEAAAIBgQAAIkAiAAEgGEBIQAFECAgAhQAAAAAEgCADAgKAAQAoAAgAAAKgA

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:18243c1800000000
Perceptual Hash:99999b9999999923
Difference Hash:3228203008000000
Wavelet Hash:3f3f3f3f00000000
Color Hash:#bf4840

Other Hashes

Crop Resistant:3228203008000000

Scan History

Scan history not available

Unable to load historical scan data