Security Scan Report: foreign-peach-vlnnrigusf-1j2qx1csmq.edgeone.app

Submitted: Mar 15, 2026, 6:14:47 AMCompleted: Mar 15, 2026, 6:16:10 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 foreign-peach-vlnnrigusf-1j2qx1csmq.edgeone.app and was registered NaN years ago.

Submitted URL: https://foreign-peach-vlnnrigusf-1j2qx1csmq.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate and safe.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Hosted on a standard .edgeone.app platform without known abuse
Informational content with no brand impersonation
No external links or redirects
Domain age information unavailable

Details

Page Title

Nem a leviért főzik a kukoricát! - Kukoricakutatás

Scan Type

public

Language

🇭🇺

HU

(80% confidence)

Category

documentation technical

(86%)

Domain Information

Domain 'foreign-peach-vlnnrigusf-1j2qx1csmq.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'foreign-peach-vlnnrigusf-1j2qx1csmq'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Segmentation suggests 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://foreign-peach-vlnnrigusf-1j2qx1csmq.edgeone.app/

Page Load Overview

1.15s
Total Load Time
6
HTTP Requests
1
Domains
25 KB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:hu
Text Length:7,169 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical86% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
86%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B492623120F07063818352D26A605B6BAEA4E60BE96F465976FD8F981FD3C86CD1391F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:4r6r20yaPLzQslK27V0EqwVQ9kN80dhJfeKqplK7H9CahrGiEHl/GooclYdyNcb:4r66ollKCVwkNRvPq3CduxFNWdyNU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20184:FrS0DFMQjVAkFJcMgBASAiZjAp1hiDIAIGko8FR4K4DgIR80ESTWLMAdMMxFAjRhCSHAh3cKdih4QJ0SKRihSCwumRgmBABA

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:3f7f7f017f37073f
Perceptual Hash:81dc9f0d0f3ec2d1
Difference Hash:e0e081efc2c6ded8
Wavelet Hash:3e3e7f003f03031f
Color Hash:#62862d

Other Hashes

Crop Resistant:e0e081efc2c6ded8

Scan History

Scan history not available

Unable to load historical scan data