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Security Scan Report: daily-red-qea94fgeac-1cpvuugfxu.edgeone.app

Submitted: Mar 16, 2026, 7:57:29 PMCompleted: Mar 16, 2026, 7:58:42 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 daily-red-qea94fgeac-1cpvuugfxu.edgeone.app and was registered NaN years ago.

Submitted URL: https://daily-red-qea94fgeac-1cpvuugfxu.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: 80%

4
Risk Score

Moderate risk due to new subdomain on free hosting and low ranking, but no malicious content observed.

Risk Factors
New/unknown subdomain on a free hosting platform
Low domain ranking in Cisco Umbrella
Domain appears to be newly registered
Safety Factors
No forms or credential collection fields detected
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
Page title generic ("Files Collection") and no brand impersonation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

news media journalism

(47%)

Domain Information

Domain 'daily-red-qea94fgeac-1cpvuugfxu.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'daily-red-qea94fgeac-1cpvuugfxu'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 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://daily-red-qea94fgeac-1cpvuugfxu.edgeone.app/

Page Load Overview

1.74s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
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%
government public service
39%
travel tourism
36%
healthcare medical
34%
documentation technical
31%

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

T17702C5CAEBA705C9A82BC0692FFF5324222DE057C448CD5DB99E1F548F4518875EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBwh1RaXQl:KrzhNK/lMHmGgdkqLd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8707:ICUC1nICBYc0NBUcAU2wlIAiSACGDQRBMFALCAACiHKQJIEMAMR0wxLAKYdCgNaAgzicVQCmSkBahCjFGAIOSSoCOCaWIBEF

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:#64783a

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data