Security Scan Report: dirty-copper-javm74e3r9-q07d7mzaf7.edgeone.app

Submitted: Mar 28, 2026, 4:16:01 PMCompleted: Mar 28, 2026, 4:17:15 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 8 domains to perform 64 HTTP transactions. The main domain is dirty-copper-javm74e3r9-q07d7mzaf7.edgeone.app and was registered NaN years ago.

Submitted URL: https://dirty-copper-javm74e3r9-q07d7mzaf7.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Site impersonates a Saudi government authority on a newly created free‑hosting subdomain; no malicious code detected but high risk of phishing.

Risk Factors
Brand impersonation on a non‑official domain
Newly created subdomain on a free hosting platform (edgeone.app)
Low domain ranking (outside top 100 K)
Unclear page content (OCR extracts gibberish text)
Domain age information unavailable

Details

Page Title

{عنوان التقرير} — أمانة منطقة المدينة المنورة

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

real estate property

(99%)

Domain Information

You're looking at domain 'dirty-copper-javm74e3r9-q07d7mzaf7.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'dirty-copper-javm74e3r9-q07d7mzaf7'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Word splitting yields 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://dirty-copper-javm74e3r9-q07d7mzaf7.edgeone.app/

Page Load Overview

3.40s
Total Load Time
35
HTTP Requests
8
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:1,107 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property99% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
99%
government public service
63%
finance banking
50%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10136.243.42.10Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.251.143.99United States
AS15169Google LLC
543.152.26.58Singapore
5142.251.141.74United States
AS15169Google LLC
5104.18.0.22UnknownUnknown
356--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF85E070D25AB2F06D75FC558CA52E135E680887D042D8E8BC4FD7F06BEB7A1AD0DA24

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:8UfcSUfcNungPCsImBUwYItZ7BUCePiezKWHBpWOrebUfch:8MvpjhUTP/ZUL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1772272:QHIGyXTGE0QqgHYg4YIWAiEIYCaQUNmBAZAGAwAAgAYAQTREORKwwgVIBvbAjUEtBG8lmeLFGqCkABAIjKVIVQzqwEpFSYRG

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:c100000018feffff
Perceptual Hash:c87a86ab99a6ac99
Difference Hash:010111113371e0f0
Wavelet Hash:f900000018ffffff
Color Hash:#a853ac

Other Hashes

Crop Resistant:010111113371e0f0

Scan History

Scan history not available

Unable to load historical scan data