Security Scan Report: frequent-amethyst-yc5gjykbzo-ono9w0kizb.edgeone.app

Submitted: Apr 25, 2026, 8:09:01 PMCompleted: Apr 25, 2026, 8:10:20 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is frequent-amethyst-yc5gjykbzo-ono9w0kizb.edgeone.app and was registered NaN years ago.

Submitted URL: https://frequent-amethyst-yc5gjykbzo-ono9w0kizb.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: 80%

2
Risk Score

The site shows no malicious forms or indicators; unknown subdomain age yields a low‑risk rating.

Risk Factors
Subdomain creation date unknown (potentially brand‑new)
Low Cisco Umbrella ranking (455,732) without brand claim
Safety Factors
Absence of credential or payment forms
No malicious IoC matches
No JavaScript malware signatures
No IDS alerts or suspicious network activity
Domain age information unavailable

Details

Page Title

Router Admin

Scan Type

public

Language

🇺🇸

English

(42% confidence)

Category

technology software

(37%)

Domain Information

Domain 'frequent-amethyst-yc5gjykbzo-ono9w0kizb.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'frequent-amethyst-yc5gjykbzo-ono9w0kizb'. Count 7 characters in 'edgeone' containing four vowels alongside three 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://frequent-amethyst-yc5gjykbzo-ono9w0kizb.edgeone.app/

Page Load Overview

0.55s
Total Load Time
3
HTTP Requests
2
Domains
40 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:42%
Script Type:Latin
Text Length:217 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software37% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
37%
documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1151.101.129.229United States
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B042865731FB14661277A0645B93D30A36259103B507CE287E6C63A0FF89AB1A8F77CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:XXFhk5Q0QcG/2bYDkIu9cUoKQ3zay+Jn5UeS93G4aNxEhW5BOFSrBZ4FgR7lZJhW:lmZDCZ93GzxEh6BJrcgrBW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12361:EHIkO8BjvJgpdoJCdM1II2iQjQFAosAFAKiRBhcnIiDCkADiYSAYURhMAhayVQNCAhRmh4KPKCDkiHWow1hhUuoElGCak0ZQ

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:0018181800000000
Perceptual Hash:cccc33333399cc66
Difference Hash:1032b2320c100000
Wavelet Hash:031b1b1b0f0f0f0f
Color Hash:#1f9321

Other Hashes

Crop Resistant:1032b2320c100000

Scan History

Scan history not available

Unable to load historical scan data