Security Scan Report: kreasilokalnest-dp1sjagd0urz.edgeone.app

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Submitted: Jun 25, 2026, 6:21:07 AMCompleted: Jun 25, 2026, 6:22:16 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 domains to perform 2 HTTP transactions. The main domain is kreasilokalnest-dp1sjagd0urz.edgeone.app and was registered NaN years ago.

Submitted URL: https://kreasilokalnest-dp1sjagd0urz.edgeone.app/autonomous-vs-induced-consumption.html

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

The page is an informational article with no malicious forms, scripts, or brand impersonation; classified as low risk.

Risk Factors
Domain age unknown (subdomain on edgeone.app)
Domain is unranked in Cisco Umbrella
Safety Factors
Page type is article (og:type=article) – informational content
No forms or credential collection mechanisms
No malicious JavaScript or network activity detected
Domain age information unavailable

Details

Page Title

Understanding the Complexities of Autonomous vs Induced Consumption

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(95%)

Domain Information

The domain 'kreasilokalnest-dp1sjagd0urz.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'kreasilokalnest-dp1sjagd0urz'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 consonants. Word splitting yields 2 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://kreasilokalnest-dp1sjagd0urz.edgeone.app/autonomous-vs-induced-consumption.html

Page Load Overview

2.23s
Total Load Time
17
HTTP Requests
14
Domains
1.1 MB
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:3,820 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
95%
government public service
95%
travel tourism
94%
finance banking
93%
blog personal website
90%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.152.26.58Singapore
1172.240.108.76United States
AS7979Servers.com, Inc.
1142.250.154.132United States
AS15169Google LLC
1146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1217.160.0.180Germany
AS8560IONOS SE
175.98.175.77United States
AS55293A2 Hosting, Inc.
1104.21.0.120United States
AS13335Cloudflare, Inc.
1188.114.97.3United States
AS13335Cloudflare, Inc.
1142.251.127.95United States
AS15169Google LLC
179--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C572E827DEC12228A6A70505A29BF2BC75785017E302C8E1B6A8F37CC7C52DF95736D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGsVhnYf8zX+n9ZTTKSs1xw1El6Y3mJaCBwnHOt+koNjag4n+t7T:R2hnz+Toq4S+BNjag4+F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17047:IFSAFECCMA9BQMPQhwEijIADFgEKFSIIdkYmnCCibbIEK4likGgPkwGQ4iBSABNKLgAhAAggNEmpCiFABHwIlsq2owoBRBkj

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:00000000007c7c7c
Perceptual Hash:c33cc3993c989e3c
Difference Hash:f1c14101d1c9d9c9
Wavelet Hash:187901013d7d7d7d
Color Hash:#3b783a

Scan History

Scan history not available

Unable to load historical scan data