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Security Scan Report: www.futurefarming.com

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Submitted: Jan 28, 2026, 12:00:52 AMCompleted: Jan 28, 2026, 12:02:40 AMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 18 domains to perform 1 HTTP transaction. The main domain is futurefarming.com and was registered NaN years ago.

Submitted URL: https://www.futurefarming.com/tech-in-focus/autonomous-semiauto-steering/autonomous-vehicles/john-deere-shares-more-details-about-electric-e-power-tractor/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Informational article about John Deere on a reputable, long‑standing site.

Safety Factors
Established domain (>20 years old)
No forms collecting sensitive data
No malicious Indicators of Compromise detected
Consistent branding with the site’s purpose (Future Farming) rather than impersonating John Deere
Secure HTTPS connection
Domain age information unavailable

Details

Page Title

John Deere shares more details about electric E-Power tractor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

The domain name 'www.futurefarming.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'futurefarming' spans 13 characters with five vowels and eight consonants. Word splitting yields 2 words: future, farming. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.futurefarming.com/tech-in-focus/autonomous-semiauto-steering/autonomous-vehicles/john-deere-shares-more-details-about-electric-e-power-tractor/

Page Load Overview

6.10s
Total Load Time
92
HTTP Requests
32
Domains
1.2 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:4,973 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network97% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
97%
documentation technical
88%
news media journalism
61%
adult content
46%
government public service
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12149.210.150.98Netherlands
AS20857Signet B.V.
5104.20.20.192United States
AS13335Cloudflare, Inc.
5104.18.11.207United States
AS8075
5104.16.79.73Netherlands
AS24940
5142.251.208.10Switzerland
AS16625
513.226.244.111Unknown
AS13335
5172.67.217.10United States
AS13335Cloudflare, Inc.
5157.240.0.6Unknown
AS16509
5142.250.185.131UnknownUnknown
5142.251.141.68UnknownUnknown
9217--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1F3E8A61AA66035426375E8616FF304E263900BDE48C9C07FEC436C9FC1FA546BB79D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KwA3uTsnmaBVxFWO2PmhKmG8bCqsvPZPqnSHQVVbb8RwcVigU9:gqDtwQigU9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167133:aAKVBQ1ARYAEAwBwBhgUJECFASZBAMoC0VkMDHCagROmkwEQCAAgsRkgW3ElUFJAQUgXSA2hgNgAAgoSgBsCcAYI5A0KD8iA

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:ffffff87818381fb
Perceptual Hash:b9c6c13a6634c7c9
Difference Hash:0f33232f3b3b1303
Wavelet Hash:ff00ff83818381f3
Color Hash:#86442d

Other Hashes

Crop Resistant:0f33232f3b3b1303,71aba767b7db2f2d,1908044404cce800,d0d0dcb0f0cc5292

Scan History

Scan history not available

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