Security Scan Report: ifac-control.org

Redirected to:
https://www.ifac-control.org//
Site favicon
Submitted: Aug 16, 2026, 7:15:55 PMCompleted: Aug 16, 2026, 7:17:03 PMpubliccompleted

This website contacted 2 IPs in 1 country across 4 domains to perform 13 HTTP transactions. The main domain is ifac-control.org and was registered 29 years ago.

Submitted URL: https://ifac-control.org

Effective URL:

https://www.ifac-control.org//
Redirected

The Cisco Umbrella rank of the primary domain is #742,136 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site appears legitimate, with no malicious indicators and a long‑standing domain.

Safety Factors (4)
Established domain with long registration history
Physical address visible
No malicious JavaScript or obfuscation
No external malicious links
Domain age information unavailable

Details

Page Title

Welcome — IFAC · International Federation of Automatic Control

Scan Type

public

Domain Name Analysis

Domain 'ifac-control.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. The registrable portion 'ifac-control' spans 12 characters containing four vowels alongside 7 consonants, along with one hyphen. Splitting it apart reveals three words: if, ac, control. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ifac-control.org

Page Load Overview

1.33s
Total Load Time
214 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,392 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
46%
adult content
36%
government public service
33%
social media network
28%
blog personal website
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
75.180.114.108Graz, Styria, Austria
AS57169EDIS GmbH
6193.170.85.72Vienna, State of Vienna, Austria
AS1853ACONET
132--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6E240B342E1A5370663D7E96EB16F1999A24017C6950E1AF1EC4FE04FD3EA2FD1310A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:PXu0KIceMOQiwIeluQzvM2hEvc55ris5cZuXtcKfOGGKU+AKIZGQK81ftfkK6Kla:P5BceMOQiwIGuQzvM2hEvc55JcZuXtcQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33529:36ZpoJSQiADCAAJA2/8BJwAxkARRA4CkAgI8CAASUUVDSgLJ7RorHBhBhcoQQA+TbQEIAMIGhLod10BiYBEBhAUCgbSfIw4K

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:ffff000000ffe0e0
Perceptual Hash:e398f09833791c67
Difference Hash:1292435151110109
Wavelet Hash:ffff000000fff8e0
Color Hash:#6c53ac

Scan History

Scan history not available

Unable to load historical scan data