Security Scan Report: xn--rehnskamleriet-sib.se

Redirected to:
https://xn--rehnskamleriet-sib.se/lander
Submitted: Sep 27, 2026, 3:20:11 PMCompleted: Sep 27, 2026, 3:20:47 PMpubliccompleted

This website contacted 11 IPs in 3 countries across 5 domains to perform 22 HTTP transactions. The main domain is xn--rehnskamleriet-sib.se and was registered 19 years ago.

Submitted URL: https://xn--rehnskamleriet-sib.se

Effective URL:

https://xn--rehnskamleriet-sib.se/lander
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established 18-year-old domain currently showing a GoDaddy parking placeholder. No forms, no threat-intel hits, no malware. Nothing malicious is served; no user risk.

Safety Factors (5)
Domain age 6767 days (WELL_ESTABLISHED), minimal risk category
Zero credential, payment, or email-capture forms
No credential exfiltration or cross-origin credential handling
No threat-intelligence matches against the page or its resources
Parked/placeholder page with no interactive functionality
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'xn--rehnskamleriet-sib.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'xn--rehnskamleriet-sib' stretches across 22 characters holding six vowels versus 13 consonants; it also includes 3 hyphens. Splitting it apart reveals eight words: xn, reh, nsk, a, ml, erie, t, sib. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--rehnskamleriet-sib.se

Page Load Overview

0.77s
Total Load Time
319 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:383 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.207.210.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23.6.32.123Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
2104.102.33.89Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
252.222.236.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.207.210.148Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
213.234.206.184Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
252.222.236.60Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.222.236.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2211--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14432EAFF675153F0F082E3FEB92295A9B56364BDAA92C754C3D89E5072C385D8804C87

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6UNbUwAZnfheYK+gAM22nr6cHtvqGvNbW599viVPnu1TXeAUKR+rhvDMbQppFU1F:xlARZeJ+gPr6ivfNXIT3R+RDMbGpFsjR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11892:kQFogawcZoBJIGEBiZYwAQTIuBCqZIRQAAxFBTgAAVNASEFABhYFSwWwY8BUgiwEyikYEYhwjiILQFJROcAAkcBCApIMYQII

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:5889c7ffffffffff
Perceptual Hash:e96949869696b696
Difference Hash:b33b0d2300000000
Wavelet Hash:008181ff0f0f0f0f
Color Hash:#87c1c5

Other Hashes

Crop Resistant:b33b0d2300000000

Scan History

Scan history not available

Unable to load historical scan data