Security Scan Report: kelass9fsmpn1pungging-e0m77l6c7v.edgeone.app

Submitted: Nov 19, 2025, 11:45:09 PMCompleted: Nov 19, 2025, 11:49:20 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 2 domains to perform 12 HTTP transactions. The main domain is kelass9fsmpn1pungging-e0m77l6c7v.edgeone.app.

Submitted URL: https://kelass9fsmpn1pungging-e0m77l6c7v.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%

1
Risk Score

Site appears legitimate with minimal risk

Safety Factors
No malicious Indicators of Compromise
No forms collecting sensitive data
Content appears to be a legitimate school class page
Domain age information unavailable

Details

Page Title

Kelas 9F - SMPN 1 Pungging

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(61%)

Domain Information

The domain 'kelass9fsmpn1pungging-e0m77l6c7v.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'kelass9fsmpn1pungging-e0m77l6c7v'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kelass9fsmpn1pungging-e0m77l6c7v.edgeone.app/

Page Load Overview

0.54s
Total Load Time
12
HTTP Requests
2
Domains
1.3 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:806 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning61% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1045.43.142.5United Kingdom
AS16276OVH SAS
645.43.142.7United Kingdom
AS16276OVH SAS
243.152.26.58Singapore
145.43.142.4United Kingdom
AS16276OVH SAS
145.43.142.6United Kingdom
AS16276OVH SAS
145.43.142.2United Kingdom
AS16276OVH SAS
145.43.142.3United Kingdom
AS16276OVH SAS
127--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5C2997514F67027848392A577B35B9F7AE1DA07C84B8A1837FC5B800F87E95EE8212C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lVitdWiDTHIm/MGYPB084KK9HMZ+BqNaCl50TipfS+MU8Mih+T8/K1N56z3TH7JX:eDO6Xw4Ce15HeqBxVPF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25930:EGFoYIVFQjJFIAAGKDawTNlAlqgOMLDmaUiwANIB3CwWPecGEsgILawsmgpwIAQRAAekIJCECSmAwNBCyoQgikAATEBkaJmi

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:8181ffffffffffff
Perceptual Hash:ed6d6d6c92929292
Difference Hash:333322c0c8cc4c30
Wavelet Hash:8080c0fcfefce65a
Color Hash:#6ce0a8

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data