Security Scan Report: various-coffee-vnm7k3hqvk-h0xlp8uobq.edgeone.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is edgeone.app and was registered 3 years 6 months ago.

Submitted URL: https://various-coffee-vnm7k3hqvk-h0xlp8uobq.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: 80%

2
Risk Score

The site shows no malicious activity, forms, or IoC matches; despite being a new subdomain on a hosting platform, it is assessed as low risk.

Risk Factors (2)
Subdomain on a hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732) without brand justification
Safety Factors (5)
Absence of login, payment, or credential‑collection forms
No malicious Indicators of Compromise
No JavaScript malware or credential exfiltration detected
No IDS alerts indicating phishing or malware
Content appears to be a standard entertainment offering
Domain age information unavailable

Details

Page Title

Pizzsell Videos

Scan Type

public

Domain Name Analysis

The domain 'various-coffee-vnm7k3hqvk-h0xlp8uobq.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'various-coffee-vnm7k3hqvk-h0xlp8uobq'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Starter 50 Videos Buy Now 0 Pizzsell Videos [] Premium Entertainment Video Packages Basic Pro 120 Videos 240 Videos Buy Now Buy Now 0 Preview View sample videos below Ultimate 500 Videos Buy...

Page Load Overview

1.04s
Total Load Time
182 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:265 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media98% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
98%
social media network
40%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
231.216.145.5Singapore
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1565124B357930462644BD0E46F70AB0E66C89543E80BDAA4BAD6664C8FD1DD6C8536CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TsdW1Dmk/NSlUzZI3nmjfRH/ZbKKw0avkQFqU6mc9:Tg5k/glUFCnmrRf9KKw0avkQf6mc9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2833:CAEIDQIgAAAAAAAAkBIEBIAAQCCACBAACAQQAApIBAAAOAwIAYIAAIAjAgAgAAAKAYwIAAgCQBEBGFgEQAAAAAAAAAAlCAgA

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:00000000ffffff00
Perceptual Hash:942e6ec16b497bc4
Difference Hash:32c4ccd0b2aaa2b2
Wavelet Hash:00001800ffffff7e
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data