Security Scan Report: steady-blush-cr6pjwuokp-a13tzhozey.edgeone.app

Submitted: Apr 10, 2026, 7:24:16 PMCompleted: Apr 10, 2026, 7:25:34 PMpubliccompleted
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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 steady-blush-cr6pjwuokp-a13tzhozey.edgeone.app and was registered NaN years ago.

Submitted URL: https://steady-blush-cr6pjwuokp-a13tzhozey.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: 92%

2
Risk Score

The page appears to be a harmless educational site with no malicious indicators.

Safety Factors
Hosted on reputable edgeone.app platform
Educational content with no brand impersonation
No network IDS alerts
Low JavaScript obfuscation score (standard minification)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Mari Kenali Penjodoh Bilangan

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

education learning

(42%)

Domain Information

You're looking at domain 'steady-blush-cr6pjwuokp-a13tzhozey.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'steady-blush-cr6pjwuokp-a13tzhozey'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://steady-blush-cr6pjwuokp-a13tzhozey.edgeone.app/

Page Load Overview

1.08s
Total Load Time
4
HTTP Requests
1
Domains
105 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
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:347 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

education learning42% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA72E7DA71A70426911B71E91FEB03443630D1037749CD2C3F5C67D49F8EBAAA963AAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ak8nAP4G/2nWyg/zelTHZSWXfF/JfbzdkqxkK1EczELGnndEt19VmKO7rAilC+5V:pN4MWfFRbzdkXcndEn9ziVimiKnTik

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16078:UAURKjwvAAYn2CDEwwoUmSniABsOJcnpQXTBECBLwybCg8IgAggSEIkpiOglJpAVgAMDCkh7gKKKIlBhXiAETLAAgIkWCDMD

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:ffffff3c3c180000
Perceptual Hash:9eb521cbcb60d89a
Difference Hash:4006716969691661
Wavelet Hash:ffffff3c3c000000
Color Hash:#bf405d

Other Hashes

Scan History

Scan history not available

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