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Security Scan Report: industrialcyber.co

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Submitted: Nov 21, 2025, 5:40:32 AMCompleted: Nov 21, 2025, 5:43:19 AMpubliccompleted
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Summary

This website contacted 49 IPs in 5 countries across 14 domains to perform 1918 HTTP transactions. The main domain is industrialcyber.co and was registered NaN years ago.

Submitted URL: https://industrialcyber.co/news/sans-institute-2025-survey-finds-ot-cybersecurity-incidents-rising-as-ransomware-and-remote-access-risks-grow/

The Cisco Umbrella rank of the primary domain is #549,925 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain age
Low risk category from hosting analysis
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

SANS Institute 2025 survey finds OT cybersecurity incidents rising as ransomware and remote access risks grow - Industrial Cyber

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(35%)

Domain Information

The domain name 'industrialcyber.co' uses the Colombian country-code top-level domain (.co) while skipping any subdomain. The core label 'industrialcyber' covers 15 characters holding five vowels versus 10 consonants. Tokenizing the label suggests 2 words: industrial, cyber. The median word length lands at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://industrialcyber.co/news/sans-institute-2025-survey-finds-ot-cybersecurity-incidents-rising-as-ransomware-and-remote-access-risks-grow/

Page Load Overview

0.88s
Total Load Time
1918
HTTP Requests
14
Domains
1.3 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:141,358 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software35% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
35%
documentation technical
28%
news/blog
20%
news
15%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1781104.18.19.62United States
AS13335CLOUDFLARENET
100104.26.12.23United States
AS13335CLOUDFLARENET
46172.66.171.172United States
AS13335CLOUDFLARENET
3974.125.206.154United States
AS15169GOOGLE
39216.239.34.36United States
AS15169GOOGLE
39142.251.140.163United States
AS15169GOOGLE
39172.67.69.129United States
AS13335CLOUDFLARENET
39166.117.227.218United States
AS16509AMAZON-02
39142.250.185.136United States
AS15169GOOGLE
39104.18.18.62United States
AS13335CLOUDFLARENET
191849--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1010652362948597F110361D5EB63D74E77E8C188DBB3964222F8C348AFE6C50AF2764E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Bla2gZT5HHfVdr+poYQR9YKUy1XDxcmlT3D1eI41+cnqeIBlgTWuGxiysILGwseE:XavUmBwq4bh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3710212:AACLBABY1bnPMlOjCGETWWFocZUAhIqoAEBnjECwKrJjCPAKDfygCwBLlBUSMNYAkDGi4EgoWgAAEAQQsKp3kzWmRhDKBqLC

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:00fff3e3ffffffff
Perceptual Hash:ed7c585a74646c98
Difference Hash:230b060659178e60
Wavelet Hash:0083c3c3ff81f71e
Color Hash:#78743a

Other Hashes

Crop Resistant:230b060659178e60,010e0a0e01343501,cf0c414561fb737b

Scan History

Scan history not available

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