Security Scan Report: obliged-purple-5aw1zxijkq-2t573eku6h.edgeone.app

Submitted: Mar 15, 2026, 3:55:13 PMCompleted: Mar 15, 2026, 3:56:36 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is obliged-purple-5aw1zxijkq-2t573eku6h.edgeone.app and was registered NaN years ago.

Submitted URL: https://obliged-purple-5aw1zxijkq-2t573eku6h.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

Site shows no malicious activity but is a newly created subdomain on a free hosting platform.

Risk Factors
New subdomain on a free hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware signatures
Only benign external domains referenced
Domain age information unavailable

Details

Page Title

Jawara Mobile - Online

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(97%)

Domain Information

Domain 'obliged-purple-5aw1zxijkq-2t573eku6h.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'obliged-purple-5aw1zxijkq-2t573eku6h'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. It segments into 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://obliged-purple-5aw1zxijkq-2t573eku6h.edgeone.app/

Page Load Overview

0.45s
Total Load Time
4
HTTP Requests
3
Domains
84 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:261 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking97% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
97%
government public service
90%
technology software
39%
adult content
35%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.58.206.54Singapore
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
143.152.26.58Singapore
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17112A62371B11412469391A47DF29B8E3660D903EA0B99653DAC05D4CFCEDD1CAF2BDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2IZ20YNW9oiJ7eXOjyU3foj2lq6idNkJryHnSXB0tNEf7pMj:2IhJ2hqSxHYqnKU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9121:jZCCgInkgAuFjhCyOcRMB0E5IJEgQsnEMIIqEAAlmLQGEYUxEJyhUbIQkgUYhJAKYqAQQEZaGEohLYETzQGbEg0hRnPMXAyC

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:cfffffa5ffffe7a5
Perceptual Hash:b39933996666cc2c
Difference Hash:1a1232283232284d
Wavelet Hash:c8d8d8c01b1b1b03
Color Hash:#6c7de0

Other Hashes

Crop Resistant:1a1232283232284d

Scan History

Scan history not available

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