Security Scan Report: dry-black-y0t73iovhj-ghyznfailv.edgeone.app

Submitted: Apr 5, 2026, 8:33:17 AMCompleted: Apr 5, 2026, 8:34:26 AMpubliccompleted
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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 dry-black-y0t73iovhj-ghyznfailv.edgeone.app and was registered NaN years ago.

Submitted URL: https://dry-black-y0t73iovhj-ghyznfailv.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No suspicious indicators; site appears legitimate.

Safety Factors
Standard hosting platform (edgeone.app)
No redirects
No cross‑origin credential exfiltration
Low JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇪🇸

Spanish

(52% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'dry-black-y0t73iovhj-ghyznfailv.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'dry-black-y0t73iovhj-ghyznfailv'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. It segments into two 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://dry-black-y0t73iovhj-ghyznfailv.edgeone.app/

Page Load Overview

0.45s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:52%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:132 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as es

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T15902C8C9EB9305C4681BC4682FFB5714223DE057C808CD5DB9AE5F54CF0518875EA2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBYh1RaXQl:KrzhNK/lMHmGgdkqvd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8853:aA0C1nACJUsSNBU8QU2ExAAiSACEDVQAsVAJAAUGyDOVAIEYAMR0wwKCCYcCoNa4kzicVSAnyFBaBAhBIUKWDCoCOKaWCIEB

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:de9a9898686961e7
Difference Hash:3030400000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#9c6ce0

Other Hashes

Crop Resistant:3030400000000000

Scan History

Scan history not available

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