Security Scan Report: quiet-black-quwkheydlu-0h4x3755nd.edgeone.app

Submitted: Mar 28, 2026, 4:35:10 AMCompleted: Mar 28, 2026, 4:36:17 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is quiet-black-quwkheydlu-0h4x3755nd.edgeone.app and was registered NaN years ago.

Submitted URL: https://quiet-black-quwkheydlu-0h4x3755nd.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: 85%

2
Risk Score

Low‑risk marketing page; no malicious activity detected.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
Standard minified JavaScript without suspicious behavior
Hosted on a known developer hosting platform (edgeone.app)
Content appears to be a benign marketing page in Indonesian
Domain age information unavailable

Details

Page Title

CIGAM | Kado Karakter Epik

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

documentation technical

(72%)

Domain Information

You're looking at domain 'quiet-black-quwkheydlu-0h4x3755nd.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'quiet-black-quwkheydlu-0h4x3755nd'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 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://quiet-black-quwkheydlu-0h4x3755nd.edgeone.app/

Page Load Overview

0.74s
Total Load Time
9
HTTP Requests
3
Domains
166 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:6,914 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical72% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
72%
technology software
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
3142.250.201.170Singapore
3142.250.201.163SingaporeUnknown
93--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111C2A61272E6503B904765A073C3973B3AA0C613C749856537BD17A2AF8EFF89A5338D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QNFIrNWIuRp3TYX/CAGiB/OnbWPpkns4TnfmQppKpDoQQZViG8G737/Kq1ZNhapY:yFIrNWI2FrpooQgrN5QRXBOh9i/RZHfq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27720:ClgNmhEVmgAEsJIgptAMxEEYik4JwUCZjQNEE8FQCBAlE4nVCg6iQiiA4WEkgABEGhAPRADCAAKyOjCDShSBDmAlQQ2BkZiC

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:c3ffffffffefe7c3
Perceptual Hash:b3cc333366313366
Difference Hash:8e3332323309094d
Wavelet Hash:003939393b073f03
Color Hash:#ac536e

Scan History

Scan history not available

Unable to load historical scan data