Security Scan Report: financial-gray-jn2fwcdsm1-6f1bbzptko.edgeone.app

Submitted: Mar 25, 2026, 3:49:32 AMCompleted: Mar 25, 2026, 3:50:51 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is financial-gray-jn2fwcdsm1-6f1bbzptko.edgeone.app and was registered NaN years ago.

Submitted URL: https://financial-gray-jn2fwcdsm1-6f1bbzptko.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: 78%

4
Risk Score

Informational site with moderate risk due to new subdomain and many redirects.

Risk Factors
Subdomain on hosting platform with unknown age
Excessive number of redirects (12)
High count of eval() calls in JavaScript (potentially suspicious dynamic code execution)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No network IDS alerts
Uses reputable external resources (Google fonts, YouTube, DoubleClick)
Domain age information unavailable

Details

Page Title

Provinsiku — Bagian dari Wilayah NKRI

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(29%)

Domain Information

You're looking at domain 'financial-gray-jn2fwcdsm1-6f1bbzptko.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'financial-gray-jn2fwcdsm1-6f1bbzptko'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Word splitting yields 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://financial-gray-jn2fwcdsm1-6f1bbzptko.edgeone.app/

Page Load Overview

3.19s
Total Load Time
101
HTTP Requests
10
Domains
5.9 MB
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:8,596 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning29% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26142.250.154.95United States
AS15169Google LLC
2543.152.26.58Singapore
25172.217.16.206United States
AS15169Google LLC
25142.251.110.94United States
AS15169Google LLC
1014--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D2383B595F200722163D4E23AA24B1B3EA5E603E9479A1573FD0B948FCADC4ED2374D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XmlFXBryJL+V1sG3AtHFCkGLSXJd74/5DyIMhuJggcwCkOg8E3lE3txhKGyHZp:XqFRryJyn3AWed785Dy3uVcJGnuBkP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47334:DAAROcypMMBRUJgKkIZthQAEHaxhgBNIRliI2REqJiJ1B4lBACFTgOgEERAOZDgZOMpDQFiqRhQAJXPJ00HAIKAwFOAI20oB

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:000000ffffffffc7
Perceptual Hash:b00f304fb19fe54c
Difference Hash:f1f193199696949e
Wavelet Hash:000000ffcfdfdfc3
Color Hash:#d279bf

Scan History

Scan history not available

Unable to load historical scan data