Security Scan Report: urban-scarlet-gc9gopb4uq-8klcowm93v.edgeone.app

Submitted: Mar 30, 2026, 3:26:25 AMCompleted: Mar 30, 2026, 3:27:42 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is urban-scarlet-gc9gopb4uq-8klcowm93v.edgeone.app and was registered NaN years ago.

Submitted URL: https://urban-scarlet-gc9gopb4uq-8klcowm93v.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: 70%

5
Risk Score

No malicious activity detected, but unknown age and low reputation suggest caution.

Risk Factors
Unknown domain age (potentially newly created subdomain)
Low reputation ranking and subdomain on free hosting platform
Possible exposure of sensitive exam data without a verifiable legitimate source
Safety Factors
No malicious Indicators of Compromise detected
No credential or payment forms present
No JavaScript malware patterns detected
Only standard external resource (www.gstatic.com) used
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Panel Pengawas CBT

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(46%)

Domain Information

The domain 'urban-scarlet-gc9gopb4uq-8klcowm93v.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'urban-scarlet-gc9gopb4uq-8klcowm93v'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Splitting it apart reveals 2 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://urban-scarlet-gc9gopb4uq-8klcowm93v.edgeone.app/

Page Load Overview

0.37s
Total Load Time
4
HTTP Requests
2
Domains
7 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:340 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service46% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
46%
healthcare medical
38%
adult content
32%
education learning
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.186.35United States
AS15169Google LLC
243.152.26.58Singapore
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15132850959F311615817E4B91BEB5E163FA8D403C90ECD693E8C93A48FC59F6C9A339C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrBs4HZsuSqrFT8R5WK9PgTeve03rBYPyihgvPYBLfaAVpzKW:BrBwYAagvyn5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11688:CCRQgVIADigAKAIgAAOE1cBQOQCCOTwESMND4QkKkBmhOxEdyQIAAAFIVKBFfSQKc1mVtMQEAxFJ4AL0Aj5AEFAAYEAWCKqB

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:107e007e7e7e0000
Perceptual Hash:d6ac69924b696969
Difference Hash:30d412c0d0cc0000
Wavelet Hash:f8fe80fe7e7e0000
Color Hash:#ac6853

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data