Security Scan Report: kataclouddaily-dpz8mflvan0o.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk article page; no malicious activity detected.

Risk Factors (2)
Unranked domain (weak signal)
Unknown subdomain creation date
Safety Factors (4)
Absence of forms that collect credentials or payment data
No malicious IoC, YARA, or IDS alerts
Content appears to be a standard informational article
External resources are common analytics and font services
Domain age information unavailable

Details

Page Title

17 Astounding Facts About Natasha Poly

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'kataclouddaily-dpz8mflvan0o.edgeone.app' is registered with subdomain 'kataclouddaily-dpz8mflvan0o'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. It segments into 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://kataclouddaily-dpz8mflvan0o.edgeone.app/17-astounding-facts-about-natasha-poly.html

Page Load Overview

2.04s
Total Load Time
83 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:9,247 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
78%
adult content
74%
social media network
71%
government public service
62%
blog personal website
54%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.154.95United States
AS15169Google LLC
3172.240.127.243United States
AS7979Servers.com, Inc.
3104.21.0.120United States
AS13335Cloudflare, Inc.
3101.33.10.10Frankfurt am Main, Hesse, Germany
134--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA92D927B6406238177207E6D9D5F3BC76359016B74798E0BC4E63382B4A2E7B13E66C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSXhnYf8zX+V8f635YrJH8ssIP5708dlbCorWag4MVlM:TXhnz+V8a5E5P5g2lbPrWag4W6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20820:IYgJCghYEgHLhDlXMiYBrYAkRRkJRXiAdkCVuICABgUMA0ugIokAp4lQU6ECS5RsKg5IKYisBEIQCyQQMgQCnglTqmRMBwwR

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:397000013d017d7d
Perceptual Hash:8a6dcf8c981c3d99
Difference Hash:f1c51121c1c9c1d1
Wavelet Hash:197101017d157f7f
Color Hash:#643a78

Other Hashes

Crop Resistant:f1c51121c1c9c1d1

Scan History

Scan history not available

Unable to load historical scan data