Security Scan Report: nusadailyflow-dp6yx06lx38j.edgeone.app

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Submitted: Jun 16, 2026, 5:50:09 AMCompleted: Jun 16, 2026, 5:51:17 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is nusadailyflow-dp6yx06lx38j.edgeone.app and was registered NaN years ago.

Submitted URL: https://nusadailyflow-dp6yx06lx38j.edgeone.app/ameren-illinois-contact-email.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The page appears to be an informational article about Ameren Illinois with no phishing or malware indicators; low risk.

Risk Factors
Sub‑domain creation date unknown (could be brand‑new)
Low Cisco Umbrella ranking (#455,732) for a domain claiming a well‑known brand
Safety Factors
No credential or payment collection fields
Article metadata suggests news/reporting content
No malicious network or IDS alerts
No external malicious links or exfiltration behavior
Hosting platform (edgeone.app) is a legitimate static‑site service
Domain age information unavailable

Details

Page Title

Ameren Illinois Contact Email: How to Reach Support Quickly and Reliably

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(66%)

Domain Information

The domain name 'nusadailyflow-dp6yx06lx38j.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'nusadailyflow-dp6yx06lx38j'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nusadailyflow-dp6yx06lx38j.edgeone.app/ameren-illinois-contact-email.html

Page Load Overview

1.74s
Total Load Time
13
HTTP Requests
11
Domains
75 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:4,033 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service66% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
66%
finance banking
56%
documentation technical
43%
corporate
35%
adult content
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.20.38.138United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2142.251.14.95United States
AS15169Google LLC
2172.240.127.243United States
AS7979Servers.com, Inc.
136--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED72D723ED81116D6E610249B4D1B3FC6A2DA42EF756CCE4B49CE33C5B85ACF687660C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqBbhnYf8zX+wE3EsfE3ECE3E2E3EfnELE9BabIPZOqOCv0b80Njag4n+2y:PQbhnz+wE3EsfE3ECE3E2E3EfnELE9Be

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17049:BgxaoKkYU6DoBeJSlcIQYbKEQSYAXqQABQDPiAEwAQ1qTA0cAK5cgBUBAFhoFQIBZIZAKgVBSAkshkhDeack18QEFS6FoEoh

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:3d3d01013d313d3d
Perceptual Hash:8a38cd9a233665db
Difference Hash:7171310d69616161
Wavelet Hash:3f3d19013d213d3d
Color Hash:#87c5c1

Other Hashes

Crop Resistant:7171310d69616161

Scan History

Scan history not available

Unable to load historical scan data