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Security Scan Report: xn--lnefrmedlaren-pfb2x.se

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a0c0a7a9-b184-4a40-a6fb-eae4b4eaa70aDomain and IP registration (RDAP)/api/v1/rdap/a0c0a7a9-b184-4a40-a6fb-eae4b4eaa70aHow often this domain was scanned/api/v1/domain/stats/xn--lnefrmedlaren-pfb2x.seScan history for this domain/api/v1/domain/history/xn--lnefrmedlaren-pfb2x.se?limit=15
This website contacted 4 IPs in 3 countries across 4 domains to perform 22 HTTP transactions. The main domain is xn--lnefrmedlaren-pfb2x.se.

Submitted URL: https://xn--lnefrmedlaren-pfb2x.se

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Established 10-year-old Swedish loan-broker information site with its own branding, no forms, no impersonation and no threat-intel, YARA or IDS hits — no concrete malicious signal found.

Safety Factors (4)
Long-standing domain (over 10 years old)
No credential or payment collection of any kind
No brand impersonation: the site uses its own brand name matching its own domain (self-branding)
No threat-intelligence, YARA, IDS or JavaScript behavioural signals
Domain age information unavailable

Details

Page Title

ᐅ Låneförmedlare online, bästa låneförmedlare och lån snabbt

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'xn--lnefrmedlaren-pfb2x.se' is registered and has no subdomain. The registrable portion 'xn--lnefrmedlaren-pfb2x' spans 23 characters holding 4 vowels versus 15 consonants, notching 1 digit and 3 hyphens. Tokenizing the label suggests ten words: xn, l, ne, fr, medlar, en, p, fb, 2, x. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--lnefrmedlaren-pfb2x.se

Page Load Overview

2.03s
Total Load Time
334 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:27,123 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
48%
healthcare medical
37%
adult content
34%
government public service
32%
corporate
25%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7185.189.48.159Stockholm, Stockholm County, Sweden
AS206170Yelles AB
5185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
5142.251.127.95Google · CDNUnited States
AS15169Google LLC
5142.251.20.94Google · CDNUnited States
AS15169Google LLC
224--

Detected Technologies10

WordPressv6.2.14
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.6.4
100%
Bootstrapv1687425630
100%
PHP
50%
MySQL
50%
Google Tag Manager
30%
WP Rocket
20%
Colorlib Sparkling
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14432185CAED16170FA0307DEB3AF24690628A0C76409D484F54CDDE87F4BBDC4A97A57

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GXHNsGeTHQpD+da6+8QPUV7lrDyjFrxzmbqFtCRSdRUM:GXX+/zV7SFZdFtjRUM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11655:UEBQYGAGqISoBATrWwlCaBhixcghUigfiogIIAJRMBAeAaEqpgrRQ0IkGJgBVJS1kCKAwAKdXiCNAMBQCBCJZwFKgrYCpNIw

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:ffffff81ffffffff
Perceptual Hash:bf2fc0c03f3fc0c0
Difference Hash:0000012301000000
Wavelet Hash:ffffff8100000000
Color Hash:#78653a

Other Hashes

Crop Resistant:0000012301000000

Scan History

Scan history not available

Unable to load historical scan data