Security Scan Report: xn--pl-fka.se

Redirected to: https://xn--pl-fka.se/

Submitted: Jan 13, 2026, 1:55:22 PMCompleted: Jan 13, 2026, 1:57:27 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is xn--pl-fka.se and was registered NaN years ago.

Submitted URL: https://pöl.se

Effective URL: https://xn--pl-fka.se/Redirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No malicious indicators detected; site appears low risk despite being relatively new and unranked.

Safety Factors
HTTPS connection (secure scheme)
No credential or payment collection fields
No malicious Indicators of Compromise
Domain age provides some legitimacy
Domain age information unavailable

Details

Page Title

Pölse

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'pöl.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'pöl' stretches across 3 characters with 0 vowels and 3 consonants. Tokenizing the label suggests two words: p, l. Average segment length settles at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pöl.se

Page Load Overview

6.10s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:5 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3B423B16857BD6F1F7E820753A69F192D1027A3D2B8B5C191B93981C03BF2DD692E30

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:HYFXeCa6l5AEt8iQ35xrNh9zTC786YE8WDArlD33BXeK:Xol5nKiu5pNLpXllXeK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500001:SACRwkABMJADohAMsSGfFA4WAQYJJQQExohACMTlBYxAiFAQbYP0YASC1EDQDgkoSJTJig9gxQAAKoWBIkkgR0QFGmNLdCgK

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:fff7e7e7e7ffffff
Perceptual Hash:b366cccc31993366
Difference Hash:000c0c0c4d000800
Wavelet Hash:00000404e7ffffff
Color Hash:#87c588

Other Hashes

Crop Resistant:000c0c0c4d000800

Scan History

Scan history not available

Unable to load historical scan data