ScanMalware.com

Security Scan Report: rocketfireworks.com

Site favicon
Submitted: Jul 2, 2026, 3:52:36 PMCompleted: Jul 2, 2026, 3:55:16 PMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is rocketfireworks.com and was registered NaN years ago.

Submitted URL: https://rocketfireworks.com/

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Site appears legitimate with self‑branding and no forms, but heavy JavaScript obfuscation warrants caution.

Risk Factors
High JavaScript obfuscation (possible hidden malicious behavior)
Use of multiple external Google resources (fonts, analytics) – common but adds surface
Safety Factors
Well‑established domain (over 20 years old)
Self‑branding matches domain – not impersonating another brand
No credential or payment collection forms
No IoC, YARA, or IDS detections
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

Buy Wholesale Fireworks Online, Fireworks for Sale, Discount Fireworks

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'rocketfireworks.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'rocketfireworks' is 15 characters long containing five vowels alongside 10 consonants. Tokenizing the label suggests 2 words: rocket, fireworks. Expect 7.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rocketfireworks.com/

Page Load Overview

6.55s
Total Load Time
78
HTTP Requests
7
Domains
7.4 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:6,318 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
e-commerce shopping
27%
news/blog
20%

Detected Features

Search
Articles
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26192.124.249.4Menifee, California, United States
AS30148Sucuri
26142.251.110.97Google · CDNUnited States
AS15169Google LLC
26192.178.170.95Google · CDNUnited States
AS15169Google LLC
783--

Detected Technologies13

WordPressv6.9.4
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
Meta-Geo
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
Cloudflare Bot Management
55%
PHP
50%
MySQL
50%
Sucuri
40%
HTTP/3
40%
Cloudflare
40%
Google Analytics
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5340AF2E9FD20363737D2E466487094F6BE5109CB418BE875B8D25C93C99D902FA24B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Z1DaHtXjqypKeq0QEBijGbAOjNn9pbNwb1cZO089xaNB+E/PT9KTxckG/cuBePAO:ZdItM0JT7uFYV+bgNNB2j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:247944:t6THbAGiAAgnIQBrAgFCEACVEFSesAkICGCZ4HoCUjWAgIlAq2nSIQoRTC4GUiGRUQTbDCkYgWyIjdkCQAASZkIIlEaDhCAA

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:ff0000000000ffff
Perceptual Hash:9846bdc49cd603f9
Difference Hash:2421c9d4f0e81b1a
Wavelet Hash:ffff00000000ffff
Color Hash:#4f862d

Other Hashes

Crop Resistant:2421c9d4f0e81b1a,4013d8d4f0d0f8e8,6727261534364bda

Scan History

Scan history not available

Unable to load historical scan data