Security Scan Report: kataclouddaily-dpz8mflvan0o.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk article page with no forms or malicious indicators; safe for normal browsing.

Risk Factors (2)
Unranked domain (not in Cisco Umbrella top 1M)
Unknown subdomain creation date
Safety Factors (4)
Absence of credential or payment collection forms
No malicious JavaScript or exfiltration behavior
Content classified as news media journalism
No external malicious links or IDS alerts
Domain age information unavailable

Details

Page Title

10 edible flower recipes from India

Scan Type

public

Domain Name Analysis

Domain 'kataclouddaily-dpz8mflvan0o.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'kataclouddaily-dpz8mflvan0o'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kataclouddaily-dpz8mflvan0o.edgeone.app/10-edible-flower-recipes-from-india.html

Page Load Overview

1.72s
Total Load Time
45 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:769 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
76%
adult content
59%
healthcare medical
55%
government public service
42%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
3104.21.0.120United States
AS13335Cloudflare, Inc.
3172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
3142.251.110.95United States
AS15169Google LLC
124--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14942D73BAD90601CB232009BA5D9B6FC7938C427D7428EE6F598BB25DFC67C7156031A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jt6uzmhqMFQQPj3VomvPYf85ZEQV+Sn+ZTjef6nkTyans88nA87QwjoNjag4ooCW:KSahnYf8zX+Sn+djef6kTwFoNjag4n+c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12108:TjMHACDSKgkqsagAA1MQFhwk1SBbCAAotQgQJlqKkKBIEsEAi5jQGmCASwHpOgZLAIBKHIDplJRED0RCphQSeGoRIQaAKSyw

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:3c7000007c000000
Perceptual Hash:c3cbcdc99c3c1c98
Difference Hash:f2cc1024c8c03000
Wavelet Hash:ff7000007e10ff00
Color Hash:#5397ac

Other Hashes

Crop Resistant:f2cc1024c8c03000

Scan History

Scan history not available

Unable to load historical scan data