Security Scan Report: financial-violet-bk5si1icx7-qg5oiwh2ny.edgeone.app

Submitted: Apr 24, 2026, 11:05:05 PMCompleted: Apr 24, 2026, 11:06:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is financial-violet-bk5si1icx7-qg5oiwh2ny.edgeone.app and was registered NaN years ago.

Submitted URL: https://financial-violet-bk5si1icx7-qg5oiwh2ny.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: 75%

2
Risk Score

Low risk site with no malicious indicators; likely a legitimate technical file collection page.

Risk Factors
Unknown subdomain age
Low domain ranking
Hosted on a generic developer subdomain platform
Safety Factors
No forms or payment fields
No credential exfiltration observed
No malicious IoC or YARA matches
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(74%)

Domain Information

Domain 'financial-violet-bk5si1icx7-qg5oiwh2ny.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'financial-violet-bk5si1icx7-qg5oiwh2ny'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Segmentation suggests 2 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://financial-violet-bk5si1icx7-qg5oiwh2ny.edgeone.app/

Page Load Overview

0.45s
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:123 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical74% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
74%
travel tourism
43%
healthcare medical
28%
adult content
25%

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

T17E3296C5EFE60ACDB81BC0685FBF67292629A053D44CC95CB99E0E648F45184B4FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBUWhlJ7hRJhoXh1RaXQl:KrzhNK/lMHmGgdkqNWbJ7HJAd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11478:NKUCVvAADQMUNJSECQeQoBMqCICMCwRBEBALJBBKiDEQAIE8IMQ0wzGBCRcWANaFgzicVQAmSGxaBQxgAQoGCCoEOTcGIEkn

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:dcfcfcfce0808000
Perceptual Hash:da9a3c6d6c9a6161
Difference Hash:3030707000000000
Wavelet Hash:dcfcfcfcc0e0c0c0
Color Hash:#59862d

Other Hashes

Crop Resistant:3030707000000000

Scan History

Scan history not available

Unable to load historical scan data