ScanMalware.com

Security Scan Report: network-collision.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a6e5aa88-afc9-4aab-a677-dd27ee441f3bDomain and IP registration (RDAP)/api/v1/rdap/a6e5aa88-afc9-4aab-a677-dd27ee441f3bHow often this domain was scanned/api/v1/domain/stats/network-collision.comScan history for this domain/api/v1/domain/history/network-collision.com?limit=15
This website contacted 5 IPs in 1 country across 4 domains to perform 14 HTTP transactions. The main domain is network-collision.com and was registered 3 years 12 months ago.

Submitted URL: https://network-collision.com/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established 3+ year old domain for a self-branded local auto body shop with no forms, no impersonation and no threat-intel, hunting rule or IDS hits. No malicious signals found.

Safety Factors (5)
Domain operational for over 3 years
Visible business phone number (480) 691-2299 and 1995-established local business claim
No credential, payment or login forms present
Site displays only its own brand, consistent with its own domain
Only external resources are standard Google Fonts/Analytics/Tag Manager
Domain age information unavailable

Details

Page Title

Network Collision | Auto Body & Collision Repair Gilbert AZ

Scan Type

public

Domain Name Analysis

You're looking at domain 'network-collision.com' on the commercial generic top-level domain (.com) and has no subdomain. The core label 'network-collision' covers 17 characters split between six vowels and ten consonants, notching 1 hyphen. Segmentation suggests two words: network, collision. Median word length is eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://network-collision.com/

Page Load Overview

1.22s
Total Load Time
243 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:59 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
49%
documentation technical
48%
technology software
43%
social media network
38%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
645.41.235.225United States
AS399250Name Hero, LLC
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
145--

Detected Technologies12

X-UA-Compatible
100%
WordPressv7.1.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
PHP
50%
MySQL
50%
LiteSpeed
40%
HTTP/3
40%
Endurance Page Cache
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

T14CD3A5CFAB7232B572138B15BEC95B3483ACC25399550DD67C21E6588BC236B02FA15F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OWUCkkprfU4iH4cHpImIB+wA5Hub4k+01noY:npr8FwYub4k+01noY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140381:RCT6USYi40UIoAFICJglWFcUoYFACjMqnAAjFEBYYMQAEQoBAWSIcFTkAYokpl1UIJQgQAGlDUhA86PMAIaLABggmBC2S7Su

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data