Security Scan Report: machine.mein-senec.de

Submitted: Feb 8, 2026, 9:45:17 AMCompleted: Feb 8, 2026, 9:46:50 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is machine.mein-senec.de.

Submitted URL: https://machine.mein-senec.de

The Cisco Umbrella rank of the primary domain is #457,088 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No active threats detected; low risk despite unknown domain age.

Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
Domain appears in Cisco Umbrella top 500k
Site currently unreachable but no evidence of malicious activity
Domain age information unavailable

Details

Page Title

machine.mein-senec.de

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

The domain 'machine.mein-senec.de' uses the German country-code top-level domain (.de) and includes subdomain 'machine'. Count 10 characters in 'mein-senec' with 4 vowels and 5 consonants; bonus characters include 1 hyphen. Breaking it apart gives three words: mein, se, nec. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://machine.mein-senec.de

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:759 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
54%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.36.117.198Germany
AS8767M-net Telekommunikations GmbH
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszi2bMy8OldK:choC9JSqzzbs6o3Sj3gcrsu2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184496:AEtgAgKCgUcAVdHkQVTAggCTxjKgDA8pAUGR3KJwSAUhhoAgFACBBMTCIcoEOmKAJAJMeQgppcWl0ARQyCCFBaKAwYe8gKUB

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#82d279

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data