Security Scan Report: fond-magenta-4jf8wgkgio-zuc8fk5nkw.edgeone.app

Submitted: Apr 21, 2026, 12:48:00 AMCompleted: Apr 21, 2026, 12:49:09 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 fond-magenta-4jf8wgkgio-zuc8fk5nkw.edgeone.app and was registered NaN years ago.

Submitted URL: https://fond-magenta-4jf8wgkgio-zuc8fk5nkw.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: 72%

5
Risk Score

Site shows moderate risk due to unknown subdomain age and low reputation; no malicious activity detected.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Potentially brand‑new subdomain
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious JavaScript or obfuscation
No external links or cross‑origin credential exfiltration
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

finance banking

(47%)

Domain Information

Domain 'fond-magenta-4jf8wgkgio-zuc8fk5nkw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'fond-magenta-4jf8wgkgio-zuc8fk5nkw'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. It segments into 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://fond-magenta-4jf8wgkgio-zuc8fk5nkw.edgeone.app/

Page Load Overview

0.50s
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:95 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

finance banking47% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
47%
government public service
44%
phishing scam
40%
education learning
37%
adult content
34%

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

T1C302C6CAEBA305C9A82BC0782FFF5714222DE057C448CD5DB99E1F548F4528875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBUzfh1RaXQl:KrzhNK/lMHmGgdkqtd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8806:IAUC3nAyhQMQNBUWIU2AhAAj3ACEDQUwNFAJAAEDiLLUBKMIAMT94wKgTYeCINaAgTicVYAmSEBaDAhBYAI2CCoCOGaeAAEB

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:da9a989c6c6561e3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#582d86

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

Unable to load historical scan data