Summary
API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3497cc68-b4aa-46d2-b7a6-b2b691de0d3fDomain and IP registration (RDAP)/api/v1/rdap/3497cc68-b4aa-46d2-b7a6-b2b691de0d3fHow often this domain was scanned/api/v1/domain/stats/cm.aftonbladet.seScan history for this domain/api/v1/domain/history/cm.aftonbladet.se?limit=15This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cm.aftonbladet.se.
Submitted URL: https://cm.aftonbladet.se/
The Cisco Umbrella rank of the primary domain is #150,563 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
0
Risk Score
No suspicious activity detected; the site appears legitimate.
Safety Factors (3)
Reputable parent domain (aftonbladet.se)
Absence of phishing or malware indicators
No suspicious content or redirects
Domain age information unavailable
Details
Page Title
N/A
Scan Type
public
Screenshot
Page Load Overview
5.11s
Total Load Time
0 KB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:100%
Script:Latin
Direction:ltr
Detection Details
Text Length:76 chars
Detector Agreement:100%
Website Classification
Primary Category
news media journalism50% confidence
Type: static
Method: ml+structural
All Detected Categories
news media journalism
50%
healthcare medical
39%
government public service
32%
documentation technical
31%
real estate property
30%
Detected Features
No structural features detected
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 1 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focused
Specialized for malware detection and similarity analysis
T1FDD0A77AC1105E5E1732DAED9DC1A50C5ADAB25AE9715C45F984A4B4C68BA0EC403388
ssdeep (Context Triggered Piecewise Hashing)
Context-aware
Detects similar content even with modifications
6:qzxV/5VHHQYk/B96XumMpAK5/xYtiNdxELa:kxV7Hf+mw5/W47xELa
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:1:0:286a49826f242cdec60d35c3991d7e5b
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:8e0e1e1e1e1e1e1f
Difference Hash:a000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#e07b6c
Other Hashes
Crop Resistant:a000000000000000
Scan History
Scan history not available
Unable to load historical scan data