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Security Scan Report: supposed-copper-5zl62qxqua-84v0kwbqo7.edgeone.app

Submitted: Apr 15, 2026, 12:52:17 AMCompleted: Apr 15, 2026, 12:54:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is supposed-copper-5zl62qxqua-84v0kwbqo7.edgeone.app and was registered NaN years ago.

Submitted URL: https://supposed-copper-5zl62qxqua-84v0kwbqo7.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: 70%

2
Risk Score

Site shows no malicious activity; unknown subdomain age and low ranking give low risk, but caution is advised.

Risk Factors
Unknown subdomain creation date
Low domain ranking
Hosted on a generic subdomain platform
Safety Factors
No forms or payment fields
No malicious Indicators of Compromise
No JavaScript malware or credential exfiltration
No external links or redirects
Domain age information unavailable

Details

Page Title

Sorry Love Jar for Baby

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'supposed-copper-5zl62qxqua-84v0kwbqo7.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'supposed-copper-5zl62qxqua-84v0kwbqo7'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://supposed-copper-5zl62qxqua-84v0kwbqo7.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:23 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A31CF9E1A67120ABD13F1A42FB5535C2570D11BA316CCAC7BCE7689CF446C829E7790

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Th8aBethQXMFpGq8pUoJ/Q61w+FX4xQwqPFfxm:Th88eq6GqwUoJ/Q61H4xQB7m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1820:BCAAAAACAABAQCAhBAAAAAAEQAgAIACCAAAAAACAAgCAAAAAAKAAAgBCAEgAIIAAAAAAEBIAAQBAABAABAAAAAAAAggAACAA

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:ffffffff00000000
Perceptual Hash:8080008000800080
Difference Hash:0000000000000000
Wavelet Hash:ffffffff00000000
Color Hash:#8753ac

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data