Security Scan Report: ifm.com

Redirected to:
https://www.ifm.com/
Site favicon
Submitted: Jun 18, 2026, 9:06:10 PMCompleted: Jun 18, 2026, 9:07:17 PMpubliccompleted

This website contacted 2 IPs in 1 country across 2 domains to perform 7 HTTP transactions. The main domain is ifm.com and was registered 32 years ago.

Submitted URL: https://ifm.com

Effective URL:

https://www.ifm.com/
Redirected

The Cisco Umbrella rank of the primary domain is #163,376 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site shows no malicious activity, has an established domain, and matches its own brand – appears legitimate.

Safety Factors (4)
Self‑branding matches domain (ifm.com)
Long‑standing registration date (1994‑09‑21)
No malicious scripts or obfuscation
No external credential exfiltration
Domain age information unavailable

Details

Page Title

ifm - automation made in Germany

Scan Type

public

Domain Name Analysis

The domain 'ifm.com' uses the commercial generic top-level domain (.com). The registrable portion 'ifm' spans 3 characters with 1 vowel and 2 consonants. Tokenizing the label suggests two words: if, m. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ifm.com

Page Load Overview

0.52s
Total Load Time
25 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-DE
Text Length:1,942 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software45% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
45%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
423.212.220.155Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3104.82.110.45Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
72--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DF43733211F4293E121BC28A7F67322C9917B14BA44E6C5C788C4F5B6F91EB29C13A6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:QPVfPcwXRS2h0dlUKFJjSZkV6sCtgrMu/:Qt3cwXRbLs/Mu/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56333:QGMNABYg6sQhBG5vGgCO4aZCoCICAYCZG9QCmcQIEAchiUhVKRCCKAoIKbEnAHijQCGWllIQAADCTAAEQBQIAgjc2DQUTINM

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:ff193fbf3fa38585
Perceptual Hash:bf8578e5d8b48384
Difference Hash:27715142424b2d29
Wavelet Hash:b7013bbbaba38185
Color Hash:#2d865f

Other Hashes

Crop Resistant:27715142424b2d29

Scan History

Scan history not available

Unable to load historical scan data