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Security Scan Report: dead-rose-agi3uc7bds-09750669px.edgeone.app

Submitted: Mar 18, 2026, 11:17:30 AMCompleted: Mar 18, 2026, 11:18:38 AMpubliccompleted
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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 dead-rose-agi3uc7bds-09750669px.edgeone.app and was registered NaN years ago.

Submitted URL: https://dead-rose-agi3uc7bds-09750669px.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

Newly created subdomain on a free hosting service with no malicious indicators; moderate risk due to age and low reputation.

Risk Factors
New subdomain on a free hosting platform (creation date unknown)
Low ranking in Cisco Umbrella (outside top 100k)
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

e-commerce shopping

(25%)

Domain Information

Domain 'dead-rose-agi3uc7bds-09750669px.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'dead-rose-agi3uc7bds-09750669px'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests two 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://dead-rose-agi3uc7bds-09750669px.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:59 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

e-commerce shopping25% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
25%

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

T12A02C6CAEBA305C8A81BC0682FFF5724222DE057C448CD5DB99E1F548F0518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBBh1RaXQl:KrzhNK/lMHmGgdkqyd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8713:JEUC1nDCJQMQNJU8AW2IhAIiSEOEDYQAMFEJCAAKiDKwQIEKhMR04xKAKccCANaAgTmdVQUmaEDaBAhJgCMGCCoCOCbWAAEF

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#d2802d

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

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