Security Scan Report: eurocarers.org

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Submitted: Feb 6, 2026, 7:18:51 AMCompleted: Feb 6, 2026, 7:20:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is eurocarers.org and was registered NaN years ago.

Submitted URL: https://eurocarers.org/wp-content/uploads/ninja-forms/23/r3c1m5.pdf

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no malicious activity detected.

Safety Factors
Well‑established domain
Absence of malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
No phishing or brand impersonation cues
Domain age information unavailable

Details

Page Title

eurocarers.org

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

unknown

(0%)

Domain Information

The domain 'eurocarers.org' uses the non-profit oriented generic top-level domain (.org). Its registrable label 'eurocarers' stretches across 10 characters split between 5 vowels and 5 consonants. It segments into 2 words: euro, carers. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eurocarers.org/wp-content/uploads/ninja-forms/23/r3c1m5.pdf

Page Load Overview

2.87s
Total Load Time
3
HTTP Requests
1
Domains
267 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3176.62.173.210Ghent, Flanders, Belgium
AS34762Combell NV
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:gfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Old7:rhoC9JSqzzbs6o3Sj3gcrs82eAl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184593:0AWgV5AQJWKypNPkmAIIKigtAEDoAAAkmJABgLOEGMRyBAJ8QJJQbM5GIBE4NCg4IsQAQS4IBAEbQC/AOVrGZEmjCTkBlFAQ

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:b331cccccc733323
Difference Hash:00181c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#55931f

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data