Security Scan Report: www.ftmmachinery.com

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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 4 countries across 13 domains to perform 65 HTTP transactions. The main domain is ftmmachinery.com and was registered 11 years ago.

Submitted URL: https://www.ftmmachinery.com/blog/how-is-potash-made.html

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Long-established mining-machinery company blog on its own brand domain. No credential or payment forms, no Indicators of Compromise or malware. Only mild signal is a cross-origin inquiry form. Low risk.

Risk Factors (2)
Inquiry form submits email/contact data cross-origin to q.kssbchina.com rather than to the page's own domain
Two eval() calls detected in JavaScript (dynamic code execution — weak signal, common in tag/analytics bundles)
Safety Factors (5)
Established 11-year-old domain with a matching self-brand identity
No credential, password, or payment fields anywhere on the page
No Indicators of Compromise, YARA, Safe Browsing, or network IDS detections
Page content is coherent, well-structured technical/editorial material
Forms are a site search and a standard B2B product inquiry form, not account login
Domain age information unavailable

Details

Page Title

How Is Potash Made: the World's Most Popular Fertilizer | Fote Machinery

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.ftmmachinery.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'ftmmachinery' stretches across 12 characters holding 3 vowels versus nine consonants. Splitting it apart reveals two words: ftm, machinery. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ftmmachinery.com/blog/how-is-potash-made.html

Page Load Overview

3.11s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:6,491 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
947.88.54.11United States
AS45102Alibaba (US) Technology Co., Ltd.
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
427.159.90.74China
AS4134Chinanet
420.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
4150.171.109.105Azure · CLOUDUnited States
AS8075Microsoft Corporation
4142.251.14.100Google · CDNUnited States
AS15169Google LLC
452.159.82.83Azure · CLOUDChicago, Illinois, United States
AS8075Microsoft Corporation
4216.239.32.36Google · CDNUnited States
AS15169Google LLC
4216.239.34.36Google · CDNUnited States
AS15169Google LLC
4142.251.127.155Google · CDNUnited States
AS15169Google LLC
6515--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8A166A322C45C242971C690FFFAF5189DBA124BC6089C62F49D207F5FD1FE6419371A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T4Zfdw6dYaNf6da6dgK6diUxEynmZjY3ub:kHRd4dvdSdBxF0jqO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5001:QgAIgUkCCkAAARBAAABgsEIBBCB8HAHgEEJAxAAABgCFGpoAIKABQSSCikENaBAYQQAMCQAVkJQAMAMTBACAggA5AAgAxGIA

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:00fffffeffffffff
Perceptual Hash:9d502a6a55553e3b
Difference Hash:a11d786e6a6a1e33
Wavelet Hash:00ff86868abf8799
Color Hash:#40931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data