Security Scan Report: hungry-blush-yyq1cikwqy-q9a3svyjsy.edgeone.app

Site favicon
Submitted: May 14, 2026, 10:51:18 AMCompleted: May 14, 2026, 10:53:15 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is hungry-blush-yyq1cikwqy-q9a3svyjsy.edgeone.app and was registered NaN years ago.

Submitted URL: https://hungry-blush-yyq1cikwqy-q9a3svyjsy.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: 78%

2
Risk Score

The site shows low risk: no malicious activity, but the subdomain is newly created and unranked, so treat it cautiously.

Risk Factors
Low reputation ranking
Unknown subdomain age on a hosting platform
Safety Factors
No forms or credential collection
No malicious scripts or obfuscation
No network alerts or IoC matches
Domain age information unavailable

Details

Page Title

Feliz Dia das Mães 💖

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'hungry-blush-yyq1cikwqy-q9a3svyjsy.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'hungry-blush-yyq1cikwqy-q9a3svyjsy'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hungry-blush-yyq1cikwqy-q9a3svyjsy.edgeone.app/

Page Load Overview

6.96s
Total Load Time
9
HTTP Requests
1
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:956 chars
Detector Agreement:100%

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
9101.33.10.57Frankfurt am Main, Hesse, Germany
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BD19DB58ED7482380434BE2759A4B097CF09B4BEA671C5276FD0B84AFC3C509F47669

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:fGhwCVmQFzOBzfU0wSWRqwEZxvjXJiTibNA:fGhwKt130zdjXsiO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6258:SJwpEEaCACCEAAzAQPBgIZKACQuIBUhAhAIAAKoIKEjCQJEiCQiEokucEwIRgMBARAYIkIEAEZMw8wRNAAEAAAmIgJTiyVME

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:ffe7e7c3c3c3c3c0
Perceptual Hash:f08bd6ab5c8d4c86
Difference Hash:624c0e9696968494
Wavelet Hash:fee6e6c2c3c303c0
Color Hash:#c587a8

Other Hashes

Crop Resistant:624c0e9696968494

Scan History

Scan history not available

Unable to load historical scan data