Security Scan Report: macam-macam-penyakit-c8x8lik5xb.edgeone.app

Submitted: Feb 21, 2026, 6:22:02 AMCompleted: Feb 21, 2026, 6:23:21 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is macam-macam-penyakit-c8x8lik5xb.edgeone.app and was registered NaN years ago.

Submitted URL: https://macam-macam-penyakit-c8x8lik5xb.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

macam-macam-penyakit-c8x8lik5xb.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

healthcare medical

(99%)

Domain Information

The domain name 'macam-macam-penyakit-c8x8lik5xb.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'macam-macam-penyakit-c8x8lik5xb'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 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://macam-macam-penyakit-c8x8lik5xb.edgeone.app/

Page Load Overview

0.70s
Total Load Time
9
HTTP Requests
4
Domains
429 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:48,194 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical99% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
99%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.152.26.58Singapore
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173048F773296063986558498F05B83099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8Olda:AhoC9JSqzzbs6o3Sj3gcrsC2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:sAAk4lE6KMjaYBwUQhg8AwgQQCKFsYcWqZgZRwkwFshCcsBcDgAi0hJCKJisEExIWQFgBZElqGkBSESnNIAQs8EwMIAgOIYw

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#d279a4

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data