Security Scan Report: gon.com

Submitted: Dec 26, 2025, 1:31:02 AMCompleted: Dec 26, 2025, 1:31:20 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 23 HTTP transactions. The main domain is gon.com and was registered NaN years ago.

Submitted URL: https://gon.com/truck-buck/christopher-jones-2025

The Cisco Umbrella rank of the primary domain is #613,233 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(64%)

Domain Information

The domain 'gon.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'gon' spans 3 characters holding one vowel versus 2 consonants. It segments into one word: gon. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gon.com/truck-buck/christopher-jones-2025

Page Load Overview

0.98s
Total Load Time
12
HTTP Requests
2
Domains
0 KB
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:314 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.18.94.41United States
AS13335CLOUDFLARENET
6104.26.13.113United States
AS13335CLOUDFLARENET
122--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C58239375956202F72774FA77069F7588021E284E70293AAF4B3AF4897C991F16623EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ha+f9yIPl2boVmJkEqn8UBbhCVDBGxtIWnkfAGNU0eNqOpumBcYjyuLSYyCXOXu:4+fcq4brJkxn8eZXkfAGNUz5RWuLSde

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18429:IAhRqoABQdB1YnGsKBBEWIQKKQTmatQUShkgA5gQfCFCBYAII0ABXMiAwAkUASqXVgwAkgIQMEEQ4lwFA6KAaEDgWFFAoKYI

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:df83c3ffffffffe7
Perceptual Hash:b03832c9c3cfc7c3
Difference Hash:203c0c000000000c
Wavelet Hash:fcc0c0fc3c3c3c00
Color Hash:#783a67

Other Hashes

Crop Resistant:203c0c000000000c

Scan History

Scan history not available

Unable to load historical scan data