Security Scan Report: aftonbladet.se

Redirected to:
https://www.aftonbladet.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 108 IPs in 3 countries across 15 domains to perform 50 HTTP transactions. The main domain is aftonbladet.se and was registered 26 years ago.

Submitted URL: http://aftonbladet.se/

Effective URL:
https://www.aftonbladet.se/
Redirected

The Cisco Umbrella rank of the primary domain is #150,563 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Aftonbladet.se appears to be a legitimate, well‑established news website with no malicious activity detected.

Safety Factors (5)
Well‑established domain
No malicious Indicators of Compromise
No phishing indicators
No suspicious redirects
Standard hosting environment
Domain age information unavailable

Details

Page Title

Nyheter från Sveriges största nyhetssajt

Scan Type

public

Screenshot

Security scan screenshot of http://aftonbladet.se/

Page Load Overview

4.17s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:2,471 chars
Detector Agreement:100%

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
503.167.227.3United States
AS16509AMAZON-02
034.248.46.110Dublin, Leinster, Ireland
AS16509AMAZON-02
018.66.147.102United States
AS16509AMAZON-02
03.174.46.30United States
AS16509AMAZON-02
013.226.244.55United States
AS16509AMAZON-02
03.174.46.125United States
AS16509AMAZON-02
018.66.147.8United States
AS16509AMAZON-02
0104.21.37.193United States
AS13335CLOUDFLARENET
054.216.65.237Dublin, Leinster, Ireland
AS16509AMAZON-02
0142.250.181.234United States
AS15169GOOGLE
73108--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177A3D8B38510602721275DD9B519A3DB9223E2AEFB97D25172EC8748CBCEC73E532631

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7tbORCOhcWztMDPRtt8ahuMDA4xZbDKOeBwkDA5w:8aKkJPhA4xdgw9G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105250:gjlIZMSF8Bq4MDAlkIMiiC4MB1rYuGQANAQqAsCLIARIAgCIB2SEAgAFWBADKCgIQaGmBRAsBQFThMCJCuGxEEFiGLQHRRBd

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:003c3c3c1c1c1800
Perceptual Hash:9c43651e336c336e
Difference Hash:3171717139313130
Wavelet Hash:00ff7c3c3c3c3c1c
Color Hash:#e07b6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data