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Security Scan Report: illegal-copper-ekqutsjhpc-ognfpwik6u.edgeone.app

Submitted: May 15, 2026, 12:27:41 AMCompleted: May 15, 2026, 12:28:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is illegal-copper-ekqutsjhpc-ognfpwik6u.edgeone.app and was registered NaN years ago.

Submitted URL: https://illegal-copper-ekqutsjhpc-ognfpwik6u.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: 78%

3
Risk Score

No malicious activity detected, but the subdomain is newly created and low‑ranked, so treat it cautiously.

Risk Factors
Unknown subdomain age on a generic hosting platform
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment collection forms
No malicious indicators or YARA matches
No external links or cross‑origin exfiltration observed
JavaScript obfuscation score low (standard minification)
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

technology software

(53%)

Domain Information

Within the application-focused generic top-level domain (.app), 'illegal-copper-ekqutsjhpc-ognfpwik6u.edgeone.app' is registered and includes subdomain 'illegal-copper-ekqutsjhpc-ognfpwik6u'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://illegal-copper-ekqutsjhpc-ognfpwik6u.edgeone.app/

Page Load Overview

0.43s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:139 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

technology software53% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
53%
news media journalism
48%
healthcare medical
35%
real estate property
27%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB02B6CAEBA305C9682BC4782FFF5724232DE067C449C95DB99E0F548F4528875EA2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBaykh1RaXQl:KrzhNK/lMHmGgdkqrd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8872:JScK13BCBQOQNBUUAU2AxAAiagCkDSQgc1AJgAICqDKUQIkMAMR0wwKQT4ciNNbAwTicVQAmaEheFApBOAo2CCsLOCaWAIER

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:dcfcfcf0e0e0c0c0
Perceptual Hash:de9a989868696367
Difference Hash:3030400000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#6ce085

Other Hashes

Crop Resistant:3030400000000000

Scan History

Scan history not available

Unable to load historical scan data