Security Scan Report: cold-plum-joadq2klvt-9i0fvbr6mb.edgeone.app

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Submitted: May 5, 2026, 7:50:04 AMCompleted: May 5, 2026, 7:51:32 AMpubliccompleted
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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 cold-plum-joadq2klvt-9i0fvbr6mb.edgeone.app and was registered NaN years ago.

Submitted URL: https://cold-plum-joadq2klvt-9i0fvbr6mb.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

The site shows no malicious activity, lacks credential collection, and only has a low‑risk subdomain on a hosting platform.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Safety Factors
Absence of login or payment forms
No credential exfiltration observed
No network IDS alerts
Standard external resources (CDNs) only
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

You're looking at domain 'cold-plum-joadq2klvt-9i0fvbr6mb.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'cold-plum-joadq2klvt-9i0fvbr6mb'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cold-plum-joadq2klvt-9i0fvbr6mb.edgeone.app/

Page Load Overview

5.75s
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
2104.17.25.14United States
AS13335Cloudflare, Inc.
2142.251.110.95United States
AS15169Google LLC
2104.17.208.5United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2142.250.154.94United States
AS15169Google LLC
2142.251.110.94United States
AS15169Google LLC
126--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10343F741B1D1153045EBA0DCA9AB9E4E70B04113EA42854D7E6DE6F3CF8EFB990272DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UfY7DgjpjZp5eQelSl/XCHG5fklea5GyBitmvnqe3OiH59Q:c3pYQelSl/XCIIFiM93Rg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59130:oAAdYyVMoSQCIQkQiIxAIyUsEiBIRExAPyStGp0IBEwEwhBAoQwFBgm0DBMpTWMf6gAAhVAAI2AAMdRMsMZJDEISABAZgEYK

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:00000015f3f3c3c3
Color Hash:#c587c3

Scan History

Scan history not available

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