Security Scan Report: dacpol.eu

Redirected to: https://www.dacpol.eu/en/

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Submitted: Mar 2, 2026, 2:23:27 PMCompleted: Mar 2, 2026, 2:24:42 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 145 HTTP transactions. The main domain is dacpol.eu.

Submitted URL: https://dacpol.eu

Effective URL: https://www.dacpol.eu/en/Redirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Components for Power Electronics, Automation, Electronics, Energy, Electrotechnics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(84%)

Domain Information

You're looking at domain 'dacpol.eu' on the .eu country-code top-level domain. The core label 'dacpol' covers 6 characters with two vowels and 4 consonants. Breaking it apart gives 2 words: dac, pol. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dacpol.eu

Page Load Overview

3.59s
Total Load Time
159
HTTP Requests
11
Domains
2.7 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
Text Length:61,861 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business84% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
84%
documentation technical
41%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29188.114.96.3United States
AS13335Cloudflare, Inc.
26142.251.127.97United States
AS15169Google LLC
26172.217.16.200United States
AS15169Google LLC
26142.251.140.170United States
AS15169Google LLC
26104.16.79.73GermanyUnknown
26157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1596--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19835442A53F974361141CDFC15F82218A4634127F68A6DD5BEAF8936BF52FB44C0B22E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:EWfmUg03HI42kCf5rPWuTCzCO5k7ZMp5j0d:EWf7q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1066429:IKAhgpIAKgEHCwBioQLNAmNYKBIAAyH1IoNVAiCwFmkjcBySFMA4TCIIDcoIBlojCEEImEyFbEBAQwQFGFACLgaAxCIFEwXG

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:ff40c1fdfdc19910
Perceptual Hash:cae03d84c69f716a
Difference Hash:65910f69611b7373
Wavelet Hash:ff00c1fdfd819910
Color Hash:#6d931f

Scan History

Scan history not available

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