Security Scan Report: low-silver-zslyzrdjwd-b0tqk827q1.edgeone.app

Submitted: Apr 5, 2026, 8:03:34 AMCompleted: Apr 5, 2026, 8:04:52 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is low-silver-zslyzrdjwd-b0tqk827q1.edgeone.app and was registered NaN years ago.

Submitted URL: https://low-silver-zslyzrdjwd-b0tqk827q1.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

Site shows no malicious indicators and appears to be a legitimate game page; safe to browse.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Low JavaScript obfuscation, no YARA malware matches
Static game-like content with no phishing cues
Hosting platform subdomain but no malicious activity
Domain age information unavailable

Details

Page Title

Kampung Pixel · MULA & TAMAT | Permainan Jawab Soalan

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

healthcare medical

(59%)

Domain Information

Within the application-focused generic top-level domain (.app), 'low-silver-zslyzrdjwd-b0tqk827q1.edgeone.app' is registered with subdomain 'low-silver-zslyzrdjwd-b0tqk827q1'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Segmentation suggests two 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://low-silver-zslyzrdjwd-b0tqk827q1.edgeone.app/

Page Load Overview

0.43s
Total Load Time
2
HTTP Requests
1
Domains
10 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:510 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

healthcare medical59% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
59%
education learning
41%
documentation technical
35%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146D2C36599F3142DD403A0A8BF93864F3B259503E905DF883FAC67A44F8ADA48DF179C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:eXeLnM+DC7xJ910VqL36SbbpgdqWIsJU4NjaZA8vHRoEu7:eXeLnE7xv10YL36SxiosdjaFvHRA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29346:ALUIpQwhOBIAVIGLEpSANMw1ArIVCitx3ACpgSgARxJJEOLIAgDlANmDIEiGA9UABMIhGEQAiQFIAcgNQngkBOgKlSGogeGY

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:0018183c3c3c1800
Perceptual Hash:da64649b9b313173
Difference Hash:0061617979717104
Wavelet Hash:e0fcfcbc3c3c3c00
Color Hash:#6ce0bb

Other Hashes

Scan History

Scan history not available

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