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Security Scan Report: grotesque-jade-qve9q28jpz-f4awtximiu.edgeone.app

Submitted: Mar 14, 2026, 4:55:12 PMCompleted: Mar 14, 2026, 4:56:33 PMpubliccompleted
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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 grotesque-jade-qve9q28jpz-f4awtximiu.edgeone.app and was registered NaN years ago.

Submitted URL: https://grotesque-jade-qve9q28jpz-f4awtximiu.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: 88%

2
Risk Score

Low risk site with no malicious indicators; safe to browse.

Risk Factors
New subdomain on a free hosting platform with unknown creation date
Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise detected
No JavaScript malware signatures
Only trusted external domains (fonts.googleapis.com, fonts.gstatic.com) loaded
Domain age information unavailable

Details

Page Title

Hai Mba 🎀

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

news media journalism

(42%)

Domain Information

The domain name 'grotesque-jade-qve9q28jpz-f4awtximiu.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'grotesque-jade-qve9q28jpz-f4awtximiu'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Segmentation suggests two 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://grotesque-jade-qve9q28jpz-f4awtximiu.edgeone.app/

Page Load Overview

0.59s
Total Load Time
6
HTTP Requests
3
Domains
20 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:71 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism42% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
42%
healthcare medical
41%
education learning
34%
finance banking
29%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.127.94Singapore
AS15169
243.152.26.58Singapore
AS139341ACE
2142.250.201.74SingaporeUnknown
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC51B86305572921F3BBE2823AF0B74434A68512F4634D5CA1DF346DC7C815FF4656CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:bO5Kj9c5ZvFs1EvxPFfDcGQ7QmtNjVBbuX7YaSZSZSDSZSZSGFlRPQBFlT:i5KZONjTQ7Qmt/Bbu8aSZSZSDSZSZSjR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2729:ACAAAAAkQQACEQAIAAAJDACADQQAAIAQSAAiABKCKAAAEgAAiSCIAABAABAgAkABRiAAAEEgEABAAAAASAYABgIAAAAAgBAA

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:01011b1f3f1f071f
Perceptual Hash:8c5c7323cecc899b
Difference Hash:3f2e3233abb39ef6
Wavelet Hash:01031b1f1f1f1f1f
Color Hash:#c58791

Other Hashes

Crop Resistant:3f2e3233abb39ef6

Scan History

Scan history not available

Unable to load historical scan data