Security Scan Report: pikselfocusspot-dp234mve1d88.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 10 domains to perform 13 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://pikselfocusspot-dp234mve1d88.edgeone.app/ameren-mo-customer-service-phone-number.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site is an informational article with no forms, no malicious indicators, and low risk despite unknown subdomain age.

Risk Factors (2)
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Low Cisco Umbrella ranking (455,732) for the domain
Safety Factors (4)
Content appears to be informational about Ameren MO customer service phone number
No external form submissions or data collection
No malicious scripts or network sinks detected
Page type is article, not a login or payment page
Domain age information unavailable

Details

Page Title

Ameren MO Customer Service Phone Number: How to Reach Them and Avoid Common Mistakes

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'pikselfocusspot-dp234mve1d88.edgeone.app' is registered, featuring subdomain 'pikselfocusspot-dp234mve1d88'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. It segments into two 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://pikselfocusspot-dp234mve1d88.edgeone.app/ameren-mo-customer-service-phone-number.html

Page Load Overview

2.03s
Total Load Time
168 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:3,635 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
79%
government public service
73%
finance banking
64%
documentation technical
63%
healthcare medical
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.127.244United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2146.75.122.152Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2173.194.76.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
135--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E72C627A9D501382AA106557D49B7FC7E5EC00FE7259CD078FCE72897C6BCB68B1508

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mahnYf8zX+BlHRlXlmlwV8Ll/ZBxEmTBqoNjag4n+QwA:zhnz+BlHRlXlmlwMl/ZkmVHNjag4+0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16380:CEYuZMCOAEAiKaDogHhDCJKOuAKIYDEQKhEcmSZmgLAGAQ4UEUgRAIYDaASYgVjCPAUEoWqAwQGWAmiIAVHJABYkEwHRhlCs

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:839fffffdf838783
Perceptual Hash:bcc13c39ed30c1d3
Difference Hash:1e3200262b3f3e3f
Wavelet Hash:829efefb83838381
Color Hash:#8bac53

Other Hashes

Crop Resistant:1e3200262b3f3e3f

Scan History

Scan history not available

Unable to load historical scan data