Security Scan Report: kataclouddaily-dphl8in1wdim.edgeone.app

Site favicon
Submitted: Jun 22, 2026, 11:00:47 PMCompleted: Jun 22, 2026, 11:02:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 19 IPs in 3 countries across 21 domains to perform 2 HTTP transactions. The main domain is kataclouddaily-dphl8in1wdim.edgeone.app and was registered NaN years ago.

Submitted URL: https://kataclouddaily-dphl8in1wdim.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 75%

3
Risk Score

Moderate risk due to unknown subdomain age and heavily obfuscated JavaScript, but no credential collection or known malicious indicators.

Risk Factors
Unknown subdomain age on a hosting platform
Highly obfuscated JavaScript
Low domain reputation ranking
Safety Factors
No forms collecting credentials or payment data
No malicious IoC or YARA detections
No network IDS alerts or credential exfiltration observed
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Who is Jeremy Michael Lewis Dating Now

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(84%)

Domain Information

The domain 'kataclouddaily-dphl8in1wdim.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'kataclouddaily-dphl8in1wdim'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. It segments into two 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-dphl8in1wdim.edgeone.app/

Page Load Overview

2.57s
Total Load Time
40
HTTP Requests
27
Domains
2.1 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:1,600 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
84%
adult content
36%
e-commerce shopping
32%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.16.29.106United States
AS13335Cloudflare, Inc.
218.172.112.19United States
AS16509Amazon.com, Inc.
2172.67.206.58United States
AS13335Cloudflare, Inc.
254.192.35.93United States
AS16509Amazon.com, Inc.
2146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4019--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8B2087361D5593A6302138660C232ECB41FED07DA67CDD1B59F73AA92C1EE68C6183E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSChnYf8zX+q/9j7Nf6eZW9IY5TXc0cxHXYTtfizJzJdqEo+0k25YGerTborWagu:TChnz+q/9j7NjZWGY5TX10HX0fQzJdqF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24348:EkDDIIjEEgKCC6ko6nqjKsYAMF7BGwgELIBhoEqmAACPCBmCQPYGogUUBhUJDAB6Q4QARKsjjAIgBkGAmCQkBBdQG8TQJFWU

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:000000003e163c3c
Perceptual Hash:9e65c996c6493699
Difference Hash:316103f8ec2cf1e3
Wavelet Hash:1810001f3f3f7d7d
Color Hash:#2d865f

Scan History

Scan history not available

Unable to load historical scan data