Security Scan Report: sistempelaporandisiplinnk-z1434x9261.edgeone.app

Submitted: Jan 31, 2026, 11:29:10 AMCompleted: Jan 31, 2026, 11:30:31 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 38 HTTP transactions. The main domain is sistempelaporandisiplinnk-z1434x9261.edgeone.app and was registered NaN years ago.

Submitted URL: https://sistempelaporandisiplinnk-z1434x9261.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: 92%

0
Risk Score

Legitimate school reporting site with no suspicious activity detected.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection
No malicious Indicators of Compromise
Low ranking does not imply malicious activity in this context
Simple informational/form page without sensitive data
Domain age information unavailable

Details

Page Title

Sistem Laporan Disiplin 2026 - SJKC NAAM KHEUNG

Scan Type

public

Language

🇮🇩

ID

(44% confidence)

Category

forum community discussion

(90%)

Domain Information

The domain 'sistempelaporandisiplinnk-z1434x9261.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sistempelaporandisiplinnk-z1434x9261'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Word splitting yields 2 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://sistempelaporandisiplinnk-z1434x9261.edgeone.app/

Page Load Overview

1.97s
Total Load Time
38
HTTP Requests
6
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:44%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:44%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:2,505 chars
Detector Agreement:67%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

forum community discussion90% confidence
Type: static
Method: ml+structural

All Detected Categories

forum community discussion
90%
education learning
83%
government public service
73%
healthcare medical
42%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58United States
6172.217.18.10United States
6104.17.25.14United States
6104.26.3.143United States
AS13335Cloudflare, Inc.
6216.58.206.65United StatesUnknown
6172.217.18.3United StatesUnknown
386--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13623081635F100372DA380FAF692AE593D19A283EE1BC199FD8C4A615FD3DA5DD53308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3QIW9/GQRFhtlQybFbF+hnWFR9aldO8qRzEWOabRtV:k/b5ghWKdzqRzEWPbRtV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48409:jEIzBYECAJQIIAyGmCEBkyQgiKiJIAaCCEgEIQTJLCggi+zgWKIUiFgmXIOAEotDUMESTEI5dRgBJgsLBCIpEMA4zDFBEGZJ

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:00fffffffffffffb
Perceptual Hash:f15367624e694a69
Difference Hash:cd089204bc2c9616
Wavelet Hash:00e6cec6c5d5c1d9
Color Hash:#9487c5

Other Hashes

Scan History

Scan history not available

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