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Security Scan Report: aggressive-white-i7kqg16fga-fp6fli4z69.edgeone.app

Submitted: Feb 28, 2026, 11:28:18 PMCompleted: Feb 28, 2026, 11:29:27 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 aggressive-white-i7kqg16fga-fp6fli4z69.edgeone.app and was registered NaN years ago.

Submitted URL: https://aggressive-white-i7kqg16fga-fp6fli4z69.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: 85%

3
Risk Score

No malicious indicators detected; site appears benign but is a newly created subdomain on a hosting platform.

Risk Factors
New subdomain on edgeone.app hosting platform with unknown creation date
Safety Factors
No forms or credential collection detected
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No network IDS alerts detected
Standard hosting platform without suspicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(47%)

Domain Information

Domain 'aggressive-white-i7kqg16fga-fp6fli4z69.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'aggressive-white-i7kqg16fga-fp6fli4z69'. The core label 'edgeone' covers 7 characters split between 4 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://aggressive-white-i7kqg16fga-fp6fli4z69.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
3 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:57 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism47% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
47%
healthcare medical
40%
government public service
37%
documentation technical
35%
adult content
33%

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

T1B302C4CAEBA305C9A82BC0682FFF5324232DE057C449C95DB99E1F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBOh1RaXQl:KrzhNK/lMHmGgdkqDd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8712:IScK13BCBQPQNBUcAU2AxAAiagCkDSQgc1AJiAACqDKQQIkNEMR0wwKQTYciJNbAwTjcVQAmaEheFApBOAoGCCsDOCaWAIER

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:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#79a1d2

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data