Security Scan Report: invoicepilotsitus-axg1553npl.edgeone.app

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Submitted: May 24, 2026, 10:06:45 AMCompleted: May 24, 2026, 10:08:04 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 10 HTTP transactions. The main domain is invoicepilotsitus-axg1553npl.edgeone.app and was registered NaN years ago.

Submitted URL: https://invoicepilotsitus-axg1553npl.edgeone.app/1794-madden-24-totw-19-predictions-release-time-and-rating-upgrades.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site appears to be a low‑content article page with no credential collection, but unknown subdomain age and high JS obfuscation raise moderate risk.

Risk Factors
Unknown subdomain age on a hosting platform
High JavaScript obfuscation (moderate signal)
Low domain reputation ranking
Safety Factors
Page type is an article (og:type=article)
No forms collecting credentials or payments
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Madden 24 TOTW 19 Predictions, Release Time and Rating Upgrades

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(43%)

Domain Information

The domain name '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 with four vowels and 3 consonants. Splitting it apart reveals 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://invoicepilotsitus-axg1553npl.edgeone.app/1794-madden-24-totw-19-predictions-release-time-and-rating-upgrades.html

Page Load Overview

10.76s
Total Load Time
17
HTTP Requests
13
Domains
33 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:7,337 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
43%
entertainment media
37%
corporate
35%
documentation technical
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.10.207United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2142.251.110.94United States
AS15169Google LLC
2142.251.13.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1820A37F745213C2A1342D5D18272FCB92DC025D351D8ADB86ED63A5BCA6CF58BBA08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMchnYf8zX+4kJTydFeIudx/13gTcdnf+yzYTdag4lDd:bQchnz+4kJTyLeD/1hYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18394:ByJSmBQliJQY/CaLAAQEGUKgNGCRKhFIDAgC0GBBchAEskMAIVEUEIV+QxAIliaIFCIUZYi0IQxEgDBhCgApMHhNMlQICCKA

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:e7c7c3c3c3c3c3c7
Perceptual Hash:f4d7c375c3246330
Difference Hash:0e16161616161616
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#86592d

Other Hashes

Crop Resistant:0e16161616161616

Scan History

Scan history not available

Unable to load historical scan data