Security Scan Report: aftonbladet.se

Submitted: Jan 14, 2026, 10:01:04 AMCompleted: Jan 14, 2026, 10:04:11 AMpubliccompleted
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Summary

This website contacted 20 IPs in 3 countries across 20 domains to perform 110 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) while skipping any subdomain. Count 11 characters in 'aftonbladet' split between 4 vowels and seven consonants. Splitting it apart reveals three words: afton, blade, t. Median word length is five 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
110
HTTP Requests
0
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
153.174.46.125United States
AS16509AMAZON-02
5195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
518.66.147.30United States
AS16509AMAZON-02
513.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
554.192.35.3United States
AS16509AMAZON-02
535.71.185.87United States
AS16509AMAZON-02
518.245.46.81United States
AS16509AMAZON-02
534.160.81.0Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
552.222.136.48United States
AS16509AMAZON-02
5108.138.26.42United States
AS16509AMAZON-02
020--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107253B72BA14783A560357C6ACFBFF1F7627A016DB8196C7F28DC71842D98AD0C32685

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:/sAiWGC2dswlguZpYj2Mj6aNQJcz7DQ8wiUXki+dPf74:0dswi2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:975318:ygCYixDAMgaYBGUx3Q2QSklpKTugEAHQjoEMsGUBAqAXpQAAQEAt6DlRQgEAPIUaTAgyAgGR4/wBMAKhiKIIOCzMYrIACI3S

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:00ffffffdfdf8787
Perceptual Hash:b8c73b4e382e493a
Difference Hash:290ec835343c3c1a
Wavelet Hash:00feff8783870307
Color Hash:#6cc3e0

Scan History

Scan history not available

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