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Security Scan Report: posnania.eu

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Submitted: Mar 6, 2026, 8:47:01 AMCompleted: Mar 6, 2026, 8:48:33 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 10 HTTP transactions. The main domain is posnania.eu.

Submitted URL: https://posnania.eu/wydarzenia/dzien-kobiet-w-posnanii-2/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site with no malicious activity; limited data but no immediate threats.

Risk Factors
Domain age unknown (potentially newly registered)
Domain not in Cisco Umbrella top 1M (low reputation)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Content appears to be a local event page (Dzień Kobiet w Posnanii)
Domain age information unavailable

Details

Page Title

Dzień Kobiet w Posnanii – Posnania

Scan Type

public

Language

🇵🇱

Polish

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'posnania.eu' uses the .eu country-code top-level domain while skipping any subdomain. Count 8 characters in 'posnania' containing four vowels alongside four consonants. Word splitting yields three words: pos, nani, a. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://posnania.eu/wydarzenia/dzien-kobiet-w-posnanii-2/

Page Load Overview

1.82s
Total Load Time
43
HTTP Requests
10
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇵🇱Polish
Code: pl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pl
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pl-PL
Text Length:13,859 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
823.56.205.206Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
5142.251.127.105Germany
AS32934
531.186.84.140Warsaw, Mazovia, Poland
AS57367Atman Sp. z o.o.
5216.58.206.35Unknown
AS16625
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5184.30.131.181Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
523.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.251.141.72United States
AS15169Google LLC
438--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A840A207669315E9367C9B1B1C1F71EA9148192CD820EDEE9479B3C8EC3D5B18B932F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:tN53JgYt1N1qE5/fDcE8EJfYFBFgBUgsk5kP3sbwbpYCem/O1lJN1:tN5ZQBFgBUykP3sbwbpYCe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:403931:SIFpHBBoAISAHEDMkEBCgHIOWkKPGTICDwnF8JiYpQglIEACxkRKAiEYAAYkUDBU0DESQADhFJAi0zhAkAQYmTkEgyGBpIDl

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:fffff9c9f9c1e1e3
Perceptual Hash:e994b66992639c63
Difference Hash:2b16331b1b030b4b
Wavelet Hash:c3dfd9c1c1c1c1e1
Color Hash:#2d863c

Other Hashes

Crop Resistant:2b16331b1b030b4b,004886ece8c82600,f6f2fdfe7e7e9e94

Scan History

Scan history not available

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