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Security Scan Report: aftonbladet.se

Submitted: Jan 14, 2026, 6:28:59 AMCompleted: Jan 14, 2026, 6:32:06 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 15 domains to perform 59 HTTP transactions. The main domain is aftonbladet.se and was registered NaN years ago.

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

The domain 'aftonbladet.se' uses the Swedish country-code top-level domain (.se). Its registrable label 'aftonbladet' stretches across 11 characters containing four vowels alongside seven consonants. Word splitting yields 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
59
HTTP Requests
0
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
752.223.48.227United States
AS16509AMAZON-02
418.245.46.121United States
AS16509AMAZON-02
43.174.46.30United States
AS16509AMAZON-02
454.192.35.123United States
AS16509AMAZON-02
42.18.64.201Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
43.174.46.56United States
AS16509AMAZON-02
437.19.194.81Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
454.216.65.237Dublin, Leinster, Ireland
AS16509AMAZON-02
4142.250.185.106United States
AS15169GOOGLE
418.66.147.102United 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

T101152A72BA14783A460357C6ACFBFF1F772BA426DB8196C7F18DC71841D98AD0C22685

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:/sAiWGC2dsj1uZpupXnMb6GoENQvcF7DKGwimNnoa7r6L5:0ds5Xi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:930073:ECV5sydUVgAhkVIsnQBmGPA5aEQJTVYqBRG6AyAqQGARSEkhWhQAAiIKSS2pGF+BEMIICcQIEKhqsmZPuCQAQiIhGToB7BLg

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:00ffffff8f8f878f
Perceptual Hash:bec71b3ec03a18c3
Difference Hash:290e48253c3c3a3a
Wavelet Hash:00feff8707078589
Color Hash:#ac53ac

Other Hashes

Crop Resistant:290e48253c3c3a3a,000016c6c6e61120,7595959595d5d4d2

Scan History

Scan history not available

Unable to load historical scan data