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Security Scan Report: friendly-coffee-apbydrzdyv-nmgqnfqnhu.edgeone.app

Submitted: Mar 30, 2026, 7:37:07 AMCompleted: Mar 30, 2026, 7:38:40 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 friendly-coffee-apbydrzdyv-nmgqnfqnhu.edgeone.app and was registered NaN years ago.

Submitted URL: https://friendly-coffee-apbydrzdyv-nmgqnfqnhu.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Survey form on a newly created subdomain; no malicious signs but personal data collection is risky.

Risk Factors
New subdomain with unknown creation date
Personal data collection form on an unestablished domain
Safety Factors
No password fields present
No payment fields present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Survey Form

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(88%)

Domain Information

You're looking at domain 'friendly-coffee-apbydrzdyv-nmgqnfqnhu.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'friendly-coffee-apbydrzdyv-nmgqnfqnhu'. The core label 'edgeone' covers 7 characters split between four vowels and 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://friendly-coffee-apbydrzdyv-nmgqnfqnhu.edgeone.app/

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
4 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:219 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content88% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
88%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1313112E0E8A5CC8CD12652987FDE79012C69C311039C744CF8C9DB6EA79AD44633B374

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRtLEFClZ0wNplcHyQhoYxOYrsXSplS0J0sw/ziJxVZp8PnrWwhOf:T9S40wNr25hohY5zKySPrWOOf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1587:EQAAKAAAAEABAAACQAAIAAAADAEAAAAICAAAAAAAAAAEAEiAQEABAAAAAAAUABQAAAICIAAAgAIAIFgAAACAAwAABAAAEAAA

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:3f3f3fff7f3f3fff
Perceptual Hash:8000003efffffde0
Difference Hash:e0c0c00080404000
Wavelet Hash:30303030303030f0
Color Hash:#d279a1

Other Hashes

Crop Resistant:e0c0c00080404000

Scan History

Scan history not available

Unable to load historical scan data