Security Scan Report: valuable-amber-go57urjvww-vubst9g3eo.edgeone.app

Submitted: Feb 28, 2026, 10:42:54 AMCompleted: Feb 28, 2026, 10:44:16 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 11 HTTP transactions. The main domain is valuable-amber-go57urjvww-vubst9g3eo.edgeone.app and was registered NaN years ago.

Submitted URL: https://valuable-amber-go57urjvww-vubst9g3eo.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform with no suspicious behavior
Domain age information unavailable

Details

Page Title

Sifat Sosial (S) - Kawan Yang Baik

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(50% confidence)

Category

education learning

(97%)

Domain Information

You're looking at domain 'valuable-amber-go57urjvww-vubst9g3eo.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'valuable-amber-go57urjvww-vubst9g3eo'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. It segments into two 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://valuable-amber-go57urjvww-vubst9g3eo.edgeone.app/

Page Load Overview

0.70s
Total Load Time
9
HTTP Requests
4
Domains
154 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:1,808 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

education learning97% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
97%
healthcare medical
96%
adult content
86%
government public service
78%
blog personal website
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.201.170Singapore
2104.26.3.143Singapore
243.152.26.58Singapore
2142.251.140.163SingaporeUnknown
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF83E82433F1003A2C9381FAF7D27B997639A383DE1B86A9B64C42115FC6EE65D83654

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hgUldf9GAvhnE+/PR9at+WbQtQJg9uZXDYUXmZs1upG1ZYmh2YxrPdK2ktr:+UldfoAvhEYnQJg9uZlWZ/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86345:agoZoBgsADICUkIQrIiAKoYsGMEaKAyEw5BoSGoJGsHyAGwDmKUCBQImBAIwWq0BSoCCkwyTT9QAUkgh0GIkhKSQCHiRABYG

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:e7e7e7c7c3c3ffff
Perceptual Hash:e666c34c8ccd6999
Difference Hash:0c0c4c04b6160a00
Wavelet Hash:232783d681817ff9
Color Hash:#40bf82

Other Hashes

Crop Resistant:0c0c4c04b6160a00

Scan History

Scan history not available

Unable to load historical scan data