Security Scan Report: invoicepilotsitus-axg1553npl.edgeone.app

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Submitted: May 23, 2026, 1:47:54 PMCompleted: May 23, 2026, 1:49:29 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is invoicepilotsitus-axg1553npl.edgeone.app and was registered NaN years ago.

Submitted URL: https://invoicepilotsitus-axg1553npl.edgeone.app/10699-nature-inspired-high-jewellery-earrings-stole-the-spotlight-in-2023-from-tweed-de-chanels-tribut.html

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

Low risk site with no malicious indicators; likely a benign article page.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Page identified as an article (og:type=article) – brand mentions are reporting, not impersonation
No JavaScript malware signatures
Domain age information unavailable

Details

Page Title

Nature-inspired high jewellery earrings stole the spotlight in 2023, from Tweed de Chanels tribut

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'invoicepilotsitus-axg1553npl.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'invoicepilotsitus-axg1553npl'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://invoicepilotsitus-axg1553npl.edgeone.app/10699-nature-inspired-high-jewellery-earrings-stole-the-spotlight-in-2023-from-tweed-de-chanels-tribut.html

Page Load Overview

27.99s
Total Load Time
18
HTTP Requests
13
Domains
32 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:6,617 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4101.33.10.57Frankfurt am Main, Hesse, Germany
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.13.94United States
AS15169Google LLC
2142.250.154.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
188--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E822C37B6801338176202AAF1A4F27CF9288417E711C9F4FA997A3DABC51D76931AD4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMShnYf8zX+yoJ/ciPWyZmqBRiOKIJI/Nq3py5Hk+zYTdag4lDw:bQShnz+yoJUiPWyZmIini8pYTdag4xw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18180:LQgECUGSwtUKzAQjAmARRACCSW2AsgoOeIxkAeTGQ6JjO2AEQyUZA0JAsYkOkFMwQJCBQBXjHFJSCBKCJI06EBiIAgbBJggC

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:c7cfc3c3c3c3c3ff
Perceptual Hash:b591ca35c364c766
Difference Hash:1636161616161616
Wavelet Hash:c3c3c2c2c2c2c3ff
Color Hash:#b787c5

Other Hashes

Crop Resistant:1636161616161616

Scan History

Scan history not available

Unable to load historical scan data