Security Scan Report: continued-copper-loohgmjnvl-xcqh6e26k9.edgeone.app

Submitted: Nov 18, 2025, 5:11:58 PMCompleted: Nov 18, 2025, 5:14:45 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 3 domains to perform 6 HTTP transactions. The main domain is continued-copper-loohgmjnvl-xcqh6e26k9.edgeone.app.

Submitted URL: https://continued-copper-loohgmjnvl-xcqh6e26k9.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

No security concerns detected; the site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Content appears to be a legitimate event invitation
Domain age information unavailable

Details

Page Title

E-Card — Unit Keusahawanan PSMZA

Scan Type

public

Language

🇮🇩

ID

(48% confidence)

Category

education learning

(71%)

Domain Information

Domain 'continued-copper-loohgmjnvl-xcqh6e26k9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'continued-copper-loohgmjnvl-xcqh6e26k9'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://continued-copper-loohgmjnvl-xcqh6e26k9.edgeone.app/

Page Load Overview

30.11s
Total Load Time
6
HTTP Requests
3
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:48%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:48%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:3,442 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

education learning71% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
71%
entertainment media
52%
government public service
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0104.17.24.14United States
AS13335CLOUDFLARENET
0142.250.181.234United States
AS15169GOOGLE
043.152.26.58Singapore
0142.250.186.106United States
AS15169GOOGLE
02a00:1450:4001:828::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
02606:4700::6811:190eUnited States
AS13335CLOUDFLARENET
0104.17.25.14United States
AS13335CLOUDFLARENET
68--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D472623681908D73719B654370A85BAF7DF4F20BC92352983FAC975C4F5AECE893205A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8Rq9jH4KweqwqcBTwpjaFX+tP+MT4imEyYFKw4j8NLAa9/f7TZZ6qbWb73vLoQl5:8RjXe3qcBTuQXWGMxJFKjj8AagHT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17036:xcEJQFJTIYgHaF+AxSKAQT6FkAGMAcBgKCMO4CQBM0EA6GAAqiDJCFWAgJiAwMg6sAAcUUhAAKoAE6AkZHYQR3C+AMgkAAK8

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:ffc3c3c3d3f3c3ff
Perceptual Hash:bc38d3c7c7389838
Difference Hash:0016161626260608
Wavelet Hash:ffc38181819183ff
Color Hash:#9479d2

Other Hashes

Crop Resistant:0016161626260608

Scan History

Scan history not available

Unable to load historical scan data