Security Scan Report: pikselfocusspot-dp234mve1d88.edgeone.app

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Submitted: Jun 16, 2026, 11:43:31 PMCompleted: Jun 16, 2026, 11:44:40 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 2 HTTP transactions. The main domain is pikselfocusspot-dp234mve1d88.edgeone.app and was registered NaN years ago.

Submitted URL: https://pikselfocusspot-dp234mve1d88.edgeone.app/ameren-street-light-outage-reporting.html

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The page shows an informational article, lacks forms or malicious indicators, and presents low risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732)
Safety Factors
Article-type page (og:type=article) with informational content
No forms or data collection fields
No external credential exfiltration observed
JavaScript obfuscation attributed to normal minification
Domain age information unavailable

Details

Page Title

How to Report Street Light Outages in Your Area: A Step-by-Step Guide

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

You're looking at domain 'pikselfocusspot-dp234mve1d88.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'pikselfocusspot-dp234mve1d88'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Segmentation suggests 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://pikselfocusspot-dp234mve1d88.edgeone.app/ameren-street-light-outage-reporting.html

Page Load Overview

2.59s
Total Load Time
19
HTTP Requests
16
Domains
834 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:5,583 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
5101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2195.181.175.22Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2172.66.156.23United States
AS13335Cloudflare, Inc.
279.127.216.228Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
292.246.95.232Netherlands
AS39572DataWeb Global Group B.V.
2172.240.127.243United States
AS7979Servers.com, Inc.
2142.251.14.95United States
AS15169Google LLC
198--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18392E92BE580123C679102867585FBFCFB699017A7569CF0BC9DE728A7487DB48B3184

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mlhnYf8zX+V7FC7k7Q7cV8qKJoRVAXkAzSHSeT7mmXoNjag4n+Q8:ehnz+V7FC7k7Q7clKJoRVAXkAzGSeT7m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19722:wSB1kpBIYyKHYWgQhhgwqIiZPBKBOAkGBDgQgIpMQJAsMR0AA6BDygEXAiD48VAyLQiMWSxQIIJIqCQoh0dEIpIUYQgBJFQz

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:c7ffffc3df838383
Perceptual Hash:bcc33c3c71316993
Difference Hash:1e24001733373f3f
Wavelet Hash:82dfff839f818181
Color Hash:#8a53ac

Other Hashes

Crop Resistant:1e24001733373f3f

Scan History

Scan history not available

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