Security Scan Report: special.aftonbladet.se

Submitted: Dec 4, 2025, 11:50:12 PMCompleted: Dec 4, 2025, 11:51:10 PMpubliccompleted
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Summary

This website contacted 45 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is special.aftonbladet.se and was registered NaN years ago.

Submitted URL: https://special.aftonbladet.se/

The Cisco Umbrella rank of the primary domain is #116,275 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Nyheter från Sveriges största nyhetssajt | Aftonbladet

Scan Type

public

Language

🇸🇪

Swedish

(35% confidence)

Category

unknown

(0%)

Domain Information

Domain 'special.aftonbladet.se' uses the Swedish country-code top-level domain (.se) with subdomain 'special'. The registrable portion 'aftonbladet' spans 11 characters containing 4 vowels alongside 7 consonants. Splitting it apart reveals 3 words: afton, blade, t. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://special.aftonbladet.se/

Page Load Overview

0.54s
Total Load Time
6
HTTP Requests
4
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:35%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:35%
Script Type:Latin
Text Length:259 chars
Detector Agreement:67%

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
654.192.35.37United States
AS16509AMAZON-02
254.192.35.32United States
AS16509AMAZON-02
2185.89.211.116Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
152.222.136.48United States
AS16509AMAZON-02
118.245.86.96United States
AS16509AMAZON-02
018.245.86.18United States
AS16509AMAZON-02
0185.89.210.46Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
054.192.35.55United States
AS16509AMAZON-02
052.222.136.94United States
AS16509AMAZON-02
02600:9000:213f:dc00:1f:5acc:9d00:93a1United States
AS16509AMAZON-02
645--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T188833AF073BD52F5F50A93DC65F724222E2120FFBA914349FB4C5E45AF131E489AA892

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:t1v31GO9yPhZwi0ymwDb3Oxeg8vzr/T+e7:qLue7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83466:AqRpBStQOFFnpB6KSp6gIEpBFEJgyBRDGkMyCBCpFACQoAwRiQCiFMZpIEgLwHooJAwUY4AbpQROUEoGgGGCQkgVHIU9UUGX

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:7fe7e7c3c3c3e7ff
Perceptual Hash:b186ce398cce31b3
Difference Hash:b20c8c1696960e08
Wavelet Hash:00c3c7c3c3c3c3ef
Color Hash:#2d5b86

Other Hashes

Crop Resistant:b20c8c1696960e08

Scan History

Scan history not available

Unable to load historical scan data