ScanMalware.com

Security Scan Report: nova365.shop

Submitted: Dec 3, 2025, 9:23:15 AMCompleted: Dec 3, 2025, 9:24:48 AMpubliccompleted
Loading additional data...

Summary

This website contacted 35 IPs in 5 countries across 10 domains to perform 116 HTTP transactions. The main domain is nova365.shop.

Submitted URL: https://nova365.shop/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Site appears legitimate with no security threats detected.

Safety Factors
No malicious Indicators of Compromise detected
No credential‑harvesting or payment collection forms
Content appears to be standard marketing for a UV flashlight
Domain age unknown but no other suspicious signals
Domain age information unavailable

Details

Page Title

NOVA365

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(58%)

Domain Information

The domain name 'nova365.shop' uses the commerce-oriented generic top-level domain (.shop) while skipping any subdomain. Its registrable label 'nova365' stretches across 7 characters split between 2 vowels and 2 consonants, along with 3 digits. It segments into 2 words: nova, 365. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nova365.shop/

Page Load Overview

0.87s
Total Load Time
116
HTTP Requests
10
Domains
8.3 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
Text Length:6,618 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping58% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
58%
technology software
48%
corporate
35%
documentation technical
32%
education learning
28%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8223.227.38.65Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
20185.172.148.132Germany
AS44239proinity GmbH
352.200.103.197Ashburn, Virginia, United States
AS14618AMAZON-AES
3104.26.8.72United States
AS13335CLOUDFLARENET
334.120.110.54Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
354.211.232.171Ashburn, Virginia, United States
AS14618AMAZON-AES
334.120.87.25Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
32600:9000:2359:f200:18:2fd:e8c0:93a1United States
AS16509AMAZON-02
313.35.58.123United States
AS16509AMAZON-02
32600:9000:2359:e200:18:2fd:e8c0:93a1United States
AS16509AMAZON-02
11635--

Detected Technologies5

Shopify
40%
HTTP/3
40%
HSTS
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2344BA194A5106B011740FEBF5AF7463694E08BE7878D81BAED87182FC1FD18D6B90F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4gonJrck8PkJJ2h0X/AvlevmMxbPkLipMMfzC5MbDxRr8PhB12aYPLLg3rR6fqB2:hsmMxbPkLCC6DxRr8PILg3rR6fY85

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:244787:5lSIrgJoCllADKyDxInhdgADDDgUiCgADSDAREigjQLOo4RACQUIJiBS8IxJCmQKHAYyAAumQMjJOF1FyBSCgBl4BwgTw+gC

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:0000f3f1d3f3ffbd
Perceptual Hash:ed5192647cd36938
Difference Hash:393723232723232b
Wavelet Hash:0000d1f1d1f1ffbd
Color Hash:#483a78

Other Hashes

Crop Resistant:393723232723232b,0024926c6c643248,112d31b3b3310d01,0a62a49695a5c992,459569e4b4a54945

Scan History

Scan history not available

Unable to load historical scan data