Security Scan Report: leading-silver-bud3o3z8ac-t0qjwha409.edgeone.app

Submitted: Mar 17, 2026, 7:23:18 AMCompleted: Mar 17, 2026, 7:24:49 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is leading-silver-bud3o3z8ac-t0qjwha409.edgeone.app and was registered NaN years ago.

Submitted URL: https://leading-silver-bud3o3z8ac-t0qjwha409.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: 88%

2
Risk Score

Site shows no malicious indicators; low risk despite unknown subdomain age.

Risk Factors
Subdomain on a free hosting platform with unknown age (potentially newly created)
Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware patterns detected
No external links or cross‑origin requests
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇵🇹

Portuguese

(43% confidence)

Category

finance banking

(75%)

Domain Information

The domain name 'leading-silver-bud3o3z8ac-t0qjwha409.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'leading-silver-bud3o3z8ac-t0qjwha409'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Segmentation suggests 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://leading-silver-bud3o3z8ac-t0qjwha409.edgeone.app/

Page Load Overview

0.88s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:43%
Script Type:Latin
Text Length:337 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking75% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
75%
healthcare medical
74%
adult content
69%
real estate property
65%
cryptocurrency blockchain
60%

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

T1E241EFC4A5571480F07FE2ED6E3F630EA43583A3A421894471AB44FAAF9DA94805EDFC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kO3Rbza0hI3n26Ju33Eur2BQyXjpcOjcZFEKIenGZkuFZkVFNkPFMZkfFFFc1kYy:L3RbTS32+K3GBQyCFgeG3CtZkm1X0ZjR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2057:ACABAIAIAQIBAAIBAAAJAAAQCACACEAMAAAQgAAAAAAgAgQAAkAAQBIACAADgCBAQCIAQAQAwABgAgACEQIAAgAEAhAAEAAA

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:ccc9bcbfe7d3fbff
Perceptual Hash:fa5ad830925e5ec2
Difference Hash:1113616108363600
Wavelet Hash:ccc90c0fe490f0f4
Color Hash:#d2b879

Other Hashes

Crop Resistant:1113616108363600

Scan History

Scan history not available

Unable to load historical scan data