Security Scan Report: weekly-copper-f2jonzkymc-3ljo3bxep3.edgeone.app

Submitted: Feb 23, 2026, 1:54:02 PMCompleted: Feb 23, 2026, 1:55:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is weekly-copper-f2jonzkymc-3ljo3bxep3.edgeone.app and was registered NaN years ago.

Submitted URL: https://weekly-copper-f2jonzkymc-3ljo3bxep3.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: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation score
No cross‑origin requests or suspicious network activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

social media network

(50%)

Domain Information

The domain 'weekly-copper-f2jonzkymc-3ljo3bxep3.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'weekly-copper-f2jonzkymc-3ljo3bxep3'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. It segments into 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://weekly-copper-f2jonzkymc-3ljo3bxep3.edgeone.app/

Page Load Overview

0.56s
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:68 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

social media network50% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
50%
forum community discussion
27%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E02B6CAEBA305C9A81BC4782FFF5724222DE057C449C95DB99E1F548F0518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBQh1RaXQl:KrzhNK/lMHmGgdkqTd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8729:IQWS13QKBQMRNBUdJU2CpAAiSAGFjQQAMFAJCAECiDeWAJEIgMV0wwKACYcCANaBgTzcdQj2SENaJAtBAAIGCioCOi6WBEEB

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#b7c587

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data