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Security Scan Report: selfish-coffee-kvzkvqu4wp-vtps3hix51.edgeone.app

Submitted: Mar 1, 2026, 1:59:04 AMCompleted: Mar 1, 2026, 2:00:41 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 selfish-coffee-kvzkvqu4wp-vtps3hix51.edgeone.app and was registered NaN years ago.

Submitted URL: https://selfish-coffee-kvzkvqu4wp-vtps3hix51.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: 85%

4
Risk Score

Personal birthday greeting page on a new subdomain; no malicious activity detected but subdomain age is unknown.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No forms detected on the page
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
HTTPS connection
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

For My Muskan 💖

Scan Type

public

Language

🇺🇸

English

(16% confidence)

Category

adult content

(75%)

Domain Information

The domain 'selfish-coffee-kvzkvqu4wp-vtps3hix51.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'selfish-coffee-kvzkvqu4wp-vtps3hix51'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. It segments into two 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://selfish-coffee-kvzkvqu4wp-vtps3hix51.edgeone.app/

Page Load Overview

1.52s
Total Load Time
4
HTTP Requests
1
Domains
13 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:16%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:16%
Script Type:Latin
Text Length:262 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content75% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
75%
news media journalism
53%
healthcare medical
49%
entertainment media
36%
social media network
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
AS139341ACE
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D09167EB81032911822F86E2657A07D4B4F89701F6135C1862FD935EA7C0C6ADF1B779

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:w7OdPe7RVkj7E94Ps7KyRGrLEFj6UlhzxiTgsEOPcY/5QaagZ8o2E8f:KuPe7RV+79ByRGrLilhzxiTgsZPcY/5g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4588:QACIAhAAAAIAJAECFIBAABSgAWQQQAAMIBAAACCANSVCCAQAAAoAGBACCigRBAACjAIIBVFQAIgmEBVgAAAEAAgCJCAIoQBp

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:1f1f0f0f0f0f0f0f
Perceptual Hash:8acccdcc0e337333
Difference Hash:fbffffffffffffff
Wavelet Hash:1f0f0f0f0f070f0f
Color Hash:#79a1d2

Other Hashes

Crop Resistant:fbffffffffffffff

Scan History

Scan history not available

Unable to load historical scan data