Security Scan Report: nusadailyflow-dp6yx06lx38j.edgeone.app

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Submitted: Jun 25, 2026, 10:03:56 AMCompleted: Jun 25, 2026, 10:05:05 AMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 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-home-page.html

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site; no phishing, malware, or credential‑harvesting activity observed.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors
Zero forms collecting credentials or payment data
No malicious network or IDS alerts
Content classified as article/news about a brand
No external malicious resources detected
Domain age information unavailable

Details

Page Title

Common Mistakes on the Ameren Illinois Home Page and Smarter Alternatives

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(69%)

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 containing four vowels alongside 3 consonants. Breaking it apart gives 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://nusadailyflow-dp6yx06lx38j.edgeone.app/ameren-illinois-home-page.html

Page Load Overview

1.53s
Total Load Time
19
HTTP Requests
16
Domains
748 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:4,700 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
69%
documentation technical
58%
blog personal website
57%
news media journalism
57%
e-commerce shopping
57%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.26.2.72United States
AS13335Cloudflare, Inc.
1104.18.10.207United States
AS13335Cloudflare, Inc.
1172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
1101.33.10.10Frankfurt am Main, Hesse, Germany
1142.250.154.132United States
AS15169Google LLC
1172.67.150.240United States
AS13335Cloudflare, Inc.
1104.131.108.116Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
123.56.201.50Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1172.64.144.144United States
AS13335Cloudflare, Inc.
1192.178.170.95United States
AS15169Google LLC
1910--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T121821937FB81112E1A920355B0C5B3FC6E69942BD346C8F8B89CB31C9F46ADF6472658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqBQfhnYf8zX+wE3EwHaE3EvJE3EIYE3EAnELEXZ0D2Y2ruRpUFskeT80Njag2:PQQfhnz+wE3EwHaE3EvJE3EIYE3EAnE2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18749:khvRPAqIQFCvDQCwhmZCKOBpEBFi2EEQE0ECghKQAMROLABsVTDIAQPIgMsJsEASDoNKEQIPEyE/gkkEAIGgdloAYiXNBDJB

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:3d3d19013d3d313d
Perceptual Hash:8a18cfd3366598cd
Difference Hash:7171310d69696161
Wavelet Hash:193d19013d3d3d3d
Color Hash:#8fd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data