Security Scan Report: www.robot-forum.com

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 10 domains to perform 126 HTTP transactions. The main domain is robot-forum.com and was registered 20 years ago.

Submitted URL: https://www.robot-forum.com/robotforum/thread/38069-how-to-skip-krl-and-send-command-to-motors-directly/

The Cisco Umbrella rank of the primary domain is #695,252 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Long-established robotics forum thread with its own brand, no credential/payment forms, no IoC, YARA, IDS or Safe Browsing hits. Routine ad/analytics traffic only. Legitimate.

Safety Factors (5)
Established 20-year-old domain with visible physical address and business entity mention
Self-branding detected: site presents its own Robot-Forum brand, not another entity's
Article/news content type (og:type=article) with no credential or payment collection
No threat-intelligence, YARA, IDS or kit-roster findings
Business legitimacy assessment: likely legitimate business (48/100)
Domain age information unavailable

Details

Page Title

how to skip KRL and send command to motors directly - KUKA Robot Forum – Programming, Support & Training Community - Robot-Forum – Global Community for Industrial Robots & Cobots

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.robot-forum.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'robot-forum' covers 11 characters split between four vowels and 6 consonants, along with 1 hyphen. Segmentation suggests two words: robot, forum. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.robot-forum.com/robotforum/thread/38069-how-to-skip-krl-and-send-command-to-motors-directly/

Page Load Overview

3.15s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:78,488 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
forum
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.88.70.33Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
7192.178.183.156Google · CDNUnited States
AS15169Google LLC
7142.251.20.102Google · CDNUnited States
AS15169Google LLC
7142.251.20.95Google · CDNUnited States
AS15169Google LLC
7142.250.154.132Google · CDNUnited States
AS15169Google LLC
7142.251.13.94Google · CDNUnited States
AS15169Google LLC
7192.178.183.155Google · CDNUnited States
AS15169Google LLC
7142.251.20.100Google · CDNUnited States
AS15169Google LLC
7142.251.20.101Google · CDNUnited States
AS15169Google LLC
7142.251.20.139Google · CDNUnited States
AS15169Google LLC
12618--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133F4C521F844193F973B41C4B689A70971DBA33FE4994460F1EB436C8BE5EB8B41E297

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PNxCf4ZYGfr7RM9rd4gFntqs9L8QvBu8ESHZgCWhhbfP9odJbxKtFBihsr:+8frITnAs9EzqxKNr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:765736:CCwRiLAIOwKQQCLZRkFCKkAyKScnBoARACHagkEFSiVCABHPKegDAQGL3ORcWGGUiFSCOFiYJhDgIESBEDSEYMAAsp2igVEA

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:00009999bdbdb981
Perceptual Hash:8c3c6343633e9d9c
Difference Hash:cd33333333336929
Wavelet Hash:00189999bffdb9a1
Color Hash:#d22d88

Scan History

Scan history not available

Unable to load historical scan data