Security Scan Report: www.circlek.se

Submitted: Nov 27, 2025, 8:08:49 PMCompleted: Nov 27, 2025, 8:13:28 PMpubliccompleted
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Summary

This website contacted 92 IPs in 3 countries across 22 domains to perform 96 HTTP transactions. The main domain is circlek.se.

Submitted URL: https://www.circlek.se/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Välkommen till Circle K Sverige, din närmaste bensinstat | Circle K

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.circlek.se' is registered; it also runs on subdomain 'www'. Count 7 characters in 'circlek' split between two vowels and five consonants. Splitting it apart reveals 2 words: circle, k. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.circlek.se/

Page Load Overview

1.08s
Total Load Time
96
HTTP Requests
22
Domains
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:44,708 chars
Detector Agreement:80%

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
2818.66.102.86United States
AS16509AMAZON-02
2618.244.18.68United States
AS16509AMAZON-02
934.107.218.251Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
518.66.102.74United States
AS16509AMAZON-02
5216.58.212.136United States
AS15169GOOGLE
4216.239.32.36United States
AS15169GOOGLE
3185.89.211.84Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
265.8.131.126United States
AS16509AMAZON-02
223.215.20.211Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
9692--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BF4D070A1B17A35112F66E49224A74B6F57E303CE89DFC6B0DC166CAFC99942F9324C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:+Rr/vClWBfObq2T2IGIpPdQJ6s1EcIrRh0gJpgjzRo32wco9wW0WrQWyJh/UCUX5:qaeb2T2ITu6sFAf06KomHNHU95

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:788679:0DRHWAAssIgISjaAJFrmGHADUBgEVJVsaChEDEAYghqisZStNpCAQhIDyFBCoBgzwgAlaRhS5IBthKgAUGERgZRtAky0zCng

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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