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Security Scan Report: adverse-amaranth-c7xas4ins6-goaarzrmas.edgeone.app

Submitted: Mar 1, 2026, 10:57:59 PMCompleted: Mar 1, 2026, 10:59:21 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 34 HTTP transactions. The main domain is adverse-amaranth-c7xas4ins6-goaarzrmas.edgeone.app and was registered NaN years ago.

Submitted URL: https://adverse-amaranth-c7xas4ins6-goaarzrmas.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

No suspicious activity detected; the site appears low risk.

Safety Factors
No credential or payment collection forms
Hosted on a reputable hosting platform (edgeone.app) with no suspicious activity
No cross‑origin credential exfiltration observed
No network IDS alerts
Domain age unknown but no brand impersonation present
Domain age information unavailable

Details

Page Title

Florent — MVP 와이어프레임

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

technology software

(58%)

Domain Information

The domain 'adverse-amaranth-c7xas4ins6-goaarzrmas.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'adverse-amaranth-c7xas4ins6-goaarzrmas'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Word splitting yields 2 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://adverse-amaranth-c7xas4ins6-goaarzrmas.edgeone.app/

Page Load Overview

0.94s
Total Load Time
34
HTTP Requests
3
Domains
566 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:524 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software58% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
58%
government public service
55%
finance banking
53%
healthcare medical
51%
e-commerce shopping
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.251.141.67United States
AS15169
1143.152.26.58Singapore
AS139341ACE
11142.251.140.170United States
AS15169Google LLC
343--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150A3D970A1B25032A1A3D8C1BA728F5F7B81FA03C94B5254B7AC4AE45FD7DE2DD13648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:MShiISt4/sNzGjdGjpdb2hDN8RzORg0oTrjXWXSAp0KyKM:dG1PAs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99432:ciEIJUgJ1OUhdIgvgkBNEQaJYilDGyFjVIxghFUABvZ4gAuZYoKIBB01KqAgIrIjChIkERCkCuRCEEiQE7jBQ6i4X0CI+CMM

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:e3a2e3e3dfdfdfe3
Perceptual Hash:f666669988999999
Difference Hash:cc0c0c0c1a121204
Wavelet Hash:678083839c9c9c80
Color Hash:#c59c87

Other Hashes

Crop Resistant:cc0c0c0c1a121204

Scan History

Scan history not available

Unable to load historical scan data