ScanMalware.com

Security Scan Report: aftonbladet.se

Submitted: Jan 13, 2026, 1:26:56 PMCompleted: Jan 13, 2026, 1:30:14 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 15 domains to perform 61 HTTP transactions. The main domain is aftonbladet.se.

Submitted URL: https://Aftonbladet.se

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Nyheter från Sveriges största nyhetssajt

Scan Type

public

Domain Information

You're looking at domain 'Aftonbladet.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The registrable portion 'aftonbladet' spans 11 characters containing four vowels alongside seven consonants. Breaking it apart gives 3 words: afton, blade, t. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://Aftonbladet.se

Page Load Overview

N/A
Total Load Time
61
HTTP Requests
0
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
93.174.46.116United States
AS16509AMAZON-02
413.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
418.245.46.81United States
AS16509AMAZON-02
454.75.86.116Dublin, Leinster, Ireland
AS16509AMAZON-02
43.174.46.56United States
AS16509AMAZON-02
418.66.147.39United States
AS16509AMAZON-02
4142.250.186.138United States
AS15169GOOGLE
4195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
4172.67.212.172United States
AS13335CLOUDFLARENET
418.66.147.107United States
AS16509AMAZON-02
014--

Detected Technologies1

Open-Graph-Protocol
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E152A32BA14783A460756C6ACFBFF1F762BB416DF8196C7F18DCB1842D98AD0C22645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:/sAiWGC2dsgduZpBEMb6qNQvcF7DKGwimEPfARkijM:0ds15

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:951936:FAkAASHJkNAGRQ20wBEbQRjADAAQgDxe4RsSJVPSIUAtAB6iPQBIMT5IkCEQYKSYDVoMMIgSEGmTQApCmCCFiYMaqDUjNoJw

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:00ffff8787dfdf8f
Perceptual Hash:bf47480e3f48c84f
Difference Hash:291ec01d2c143438
Wavelet Hash:00fe470783838585
Color Hash:#862d2d

Other Hashes

Crop Resistant:291ec01d2c143438,000016c6c6e61120,7c6c767c375f697b,73737373737372d0

Scan History

Scan history not available

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