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Security Scan Report: monitoringpbm-obo3y3g7k8.edgeone.app

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Submitted: May 8, 2026, 4:09:12 PMCompleted: May 8, 2026, 4:10:45 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 14 HTTP transactions. The main domain is monitoringpbm-obo3y3g7k8.edgeone.app and was registered NaN years ago.

Submitted URL: https://monitoringpbm-obo3y3g7k8.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: 80%

2
Risk Score

Low risk site with no malicious indicators; likely legitimate despite unknown subdomain age.

Risk Factors
Low domain ranking (#455,732) in Cisco Umbrella
Subdomain creation date unknown, could be brand‑new
Safety Factors
No login, payment, or credential‑collection forms
No malicious indicators or malware signatures
JavaScript obfuscation score low (standard minification)
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

KONTROL PBM - MA Husnul Khotimah

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(89%)

Domain Information

The domain name 'monitoringpbm-obo3y3g7k8.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'monitoringpbm-obo3y3g7k8'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Segmentation suggests 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://monitoringpbm-obo3y3g7k8.edgeone.app/

Page Load Overview

1.02s
Total Load Time
12
HTTP Requests
6
Domains
439 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:829 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
89%
technology software
87%
healthcare medical
50%
adult content
29%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.14.95United States
AS15169Google LLC
2151.101.129.229United States
AS54113Fastly, Inc.
2142.251.110.94United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2104.17.24.14United States
AS13335Cloudflare, Inc.
2142.251.13.94United States
AS15169Google LLC
126--

Detected Technologies3

Cloudflare
50%
jsDelivr
20%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A843F741B1D1153045EBA0DCA9AB9E4E70B04113EA42854C7E6DE6F3CF8EFB990272DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UfY7DgjpjZp5eoelSl/XCHG5fklea5GyBitmvnqe3OiH59g:c3pYoelSl/XCIIFiM93RQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59130:1ADKACQWqBoEUK5Eg2CiJWjgUDCorggIkZxSQBEoPMIDBIQiJDWEIAI4BkQOBCm+AU4BG6ISUbADFCNBJsB0SKhEiQbBYAuQ

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:0000ffffffffffff
Perceptual Hash:fa7e7a7e7a482080
Difference Hash:010192000000001c
Wavelet Hash:00000005f3f3c3c3
Color Hash:#2d5c86

Other Hashes

Crop Resistant:010101000000001c,0000810101010000,0000000000000000

Scan History

Scan history not available

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