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Security Scan Report: pinjaman-9-spin-laila-zahra-afida-6mxix84yaq.edgeone.app

Submitted: Feb 12, 2026, 4:21:50 PMCompleted: Feb 12, 2026, 4:23:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is pinjaman-9-spin-laila-zahra-afida-6mxix84yaq.edgeone.app and was registered NaN years ago.

Submitted URL: https://pinjaman-9-spin-laila-zahra-afida-6mxix84yaq.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise matches
No credential or payment forms present
No JavaScript malware detected
Minimal risk category per hosting analysis
Domain age information unavailable

Details

Page Title

pinjaman-9-spin-laila-zahra-afida-6mxix84yaq.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

finance banking

(45%)

Domain Information

The domain name 'pinjaman-9-spin-laila-zahra-afida-6mxix84yaq.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pinjaman-9-spin-laila-zahra-afida-6mxix84yaq'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pinjaman-9-spin-laila-zahra-afida-6mxix84yaq.edgeone.app/

Page Load Overview

3.36s
Total Load Time
3
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
Text Length:2,583 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking45% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8Olde:KhoC9JSqzzbs6o3Sj3gcrs82eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184671:gEbUCwAGQZE6jdQE8g8BsQkFAAL4iWVcMSCSCiQSASQZNqKVBlgHKIIVkyEYAoGCAmJzFBAhCiitoBwADAIWdQKJQcQfiHIX

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#88931f

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data