Security Scan Report: modern-silver-yp2dhtyckg-nktpa4c68p.edgeone.app

Submitted: Feb 26, 2026, 8:31:52 AMCompleted: Feb 26, 2026, 8:33:01 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is modern-silver-yp2dhtyckg-nktpa4c68p.edgeone.app and was registered NaN years ago.

Submitted URL: https://modern-silver-yp2dhtyckg-nktpa4c68p.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: 78%

4
Risk Score

The site shows a basic food advertisement with no malicious activity, but the brand‑new subdomain on a free hosting platform suggests caution.

Risk Factors
New or unknown-age subdomain on a free hosting platform
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
No external domains or redirects
Domain age information unavailable

Details

Page Title

Kimbaboom – Kimbab Fresh Murah Meriah

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(94%)

Domain Information

The domain 'modern-silver-yp2dhtyckg-nktpa4c68p.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'modern-silver-yp2dhtyckg-nktpa4c68p'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. It segments into 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://modern-silver-yp2dhtyckg-nktpa4c68p.edgeone.app/

Page Load Overview

0.66s
Total Load Time
9
HTTP Requests
3
Domains
352 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:2,084 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking94% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
94%
education learning
93%
healthcare medical
85%
adult content
84%
government public service
83%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
3142.250.187.227United States
AS15169Google LLC
3142.250.201.170United States
AS15169Google LLC
93--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B940232D8A101534776EA4C10933619EE69DD6BA70AF0BD3D8885F5D7CE5A83A8F4CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:kb+ztrBg11CidjeUF+B4+ztrBg11CidjeUF+Be:kb+ztry1B+ztry1X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:418955:GESIhS0H0EAiDwARDgiRMAMGpEpAETYCYUYoiA4CsGFAQkloUCwoMwGa2LacQhDgiKEDGATUVBGAEQ1TBKDhwB/AJgYQIsEG

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:9898181818181919
Perceptual Hash:8877dd7c229926cc
Difference Hash:31333133b1b1b3b3
Wavelet Hash:99bd3f1b19191919
Color Hash:#e08b6c

Scan History

Scan history not available

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