Security Scan Report: sticktalkdevicehugo-tryx035p9v.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://sticktalkdevicehugo-tryx035p9v.edgeone.app/1550-what-is-angellica-bell-net-worth-2024-career-earnings-and-financial-overview.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site likely benign content about a public figure; no phishing or malware indicators detected.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score
Safety Factors (4)
No login or payment forms present
No credential exfiltration observed
No malicious IoC matches or IDS alerts
Page type is an article (og:type="article")
Domain age information unavailable

Details

Page Title

What is Angellica Bell Net Worth 2024: Career, Earnings and Financial Overview

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'sticktalkdevicehugo-tryx035p9v.edgeone.app' is registered; it also runs on subdomain 'sticktalkdevicehugo-tryx035p9v'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Word splitting yields two 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://sticktalkdevicehugo-tryx035p9v.edgeone.app/1550-what-is-angellica-bell-net-worth-2024-career-earnings-and-financial-overview.html

Page Load Overview

13.28s
Total Load Time
129 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:7,096 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
90%
news media journalism
40%
adult content
40%
corporate
35%
education learning
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.7.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.217.208.95United States
AS15169Google LLC
2142.251.20.94United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3820973F688223C673F82D5949272BC7A9D4425F3AA4CF8585DA26847C22DEC57B248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XxhnYf8zX+1/YN4wJKJCJ/csvaKM70bBT5eJTXLqVPYYrWag4MDw:Xxhnz+1/YN48JUsCKM7MBlGT2qYrWag2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18179:SAqBSIrGQ4JIEEhFGCiQfiIiQAIIYFwAMQOQNkzgmtHglk+FOJhEBwCCBdhA2pNIwJRLGCT7hBAECpEEjKYAEQiAgjBEaGwE

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:e7cfcf83838383ff
Perceptual Hash:bd92c268e36dc329
Difference Hash:0e3e362f3f332f27
Wavelet Hash:e783c383838183ff
Color Hash:#4e783a

Other Hashes

Crop Resistant:0e3e362f3f332f27

Scan History

Scan history not available

Unable to load historical scan data