Security Scan Report: delightful-yellow-vxfwhtbpzi-qmxrfiezgc.edgeone.app

Submitted: Feb 27, 2026, 10:08:33 AMCompleted: Feb 27, 2026, 10:09:56 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is delightful-yellow-vxfwhtbpzi-qmxrfiezgc.edgeone.app and was registered NaN years ago.

Submitted URL: https://delightful-yellow-vxfwhtbpzi-qmxrfiezgc.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: 82%

2
Risk Score

Low risk – no malicious indicators detected, but verify health claims before any purchase.

Safety Factors
Zero credential or payment collection fields
Absence of malicious Indicators of Compromise
No JavaScript malware signatures
No suspicious network alerts
Hosted on a free platform but lacks any phishing or malware behavior
Domain age information unavailable

Details

Page Title

Salad Ndeso – Kuat dari Dalam, Sehat Setiap Hari

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

healthcare medical

(89%)

Domain Information

The domain 'delightful-yellow-vxfwhtbpzi-qmxrfiezgc.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'delightful-yellow-vxfwhtbpzi-qmxrfiezgc'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://delightful-yellow-vxfwhtbpzi-qmxrfiezgc.edgeone.app/

Page Load Overview

1.43s
Total Load Time
7
HTTP Requests
3
Domains
300 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:2,899 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical89% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
89%
adult content
63%
blog personal website
62%
government public service
53%
education learning
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.201.74United States
2142.250.201.67United States
243.152.26.58Singapore
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF14122509736E136016ECF0AEEB8B493B64D807D506E065F3FC54468FCBEA4E9D294E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rB5t+nzIBJIQSs4uL/PYNiQxwxoglIoE6DckF3jPTGsbxrUbfLcveJ5:zIneJbMCPYN5glf51GsbxwbfLVJ5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:209285:Uaz9yGCAYIQ0AQQgHQnECgZTYEwQyGCxBAA1CXIeYSQKYAIzqglALFmHIQg0MEsxLhN41ABzIqJYebFFwAEAAAgoCDpSihEt

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:0080e0e6c6c60000
Perceptual Hash:b44b4bb4964be896
Difference Hash:d5298d8cacb4bb45
Wavelet Hash:0181e7ffcfc7c101
Color Hash:#40bf82

Scan History

Scan history not available

Unable to load historical scan data