Security Scan Report: dj.service.aftonbladet.se

Submitted: Nov 24, 2025, 11:48:15 PMCompleted: Nov 24, 2025, 11:51:08 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is dj.service.aftonbladet.se and was registered NaN years ago.

Submitted URL: https://dj.service.aftonbladet.se/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Long-established domain
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'dj.service.aftonbladet.se' uses the Swedish country-code top-level domain (.se) with subdomain 'dj.service'. The core label 'aftonbladet' covers 11 characters with 4 vowels and 7 consonants. Splitting it apart reveals three 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://dj.service.aftonbladet.se/

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:17 chars
Detector Agreement:0%

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
213.226.244.41United States
AS16509AMAZON-02
013.226.244.26United States
AS16509AMAZON-02
013.226.244.123United States
AS16509AMAZON-02
013.226.244.124United States
AS16509AMAZON-02
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFC08072C460191A53335FDCED82B54C4FC9B20DD4314D41B5C4E494CAD7D56C413384

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RAqOEkS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96lzNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:98afd6b02323173b266a0f5cd331228d

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:00ffffffffffffff
Perceptual Hash:83030307071f7f7f
Difference Hash:8000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#bf4062

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data