Security Scan Report: cm.aftonbladet.se

Submitted: Nov 23, 2025, 11:12:05 PMCompleted: Nov 23, 2025, 11:13:52 PMpubliccompleted
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Summary

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

Submitted URL: https://cm.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

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No credential or payment collection fields
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

news media journalism

(50%)

Domain Information

The domain name 'cm.aftonbladet.se' uses the Swedish country-code top-level domain (.se) with subdomain 'cm'. Count 11 characters in 'aftonbladet' holding 4 vowels versus 7 consonants. Breaking it apart gives 3 words: afton, blade, t. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.26s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
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
38%
government public service
32%
documentation technical
31%
real estate property
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
21--

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-precision

High-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:00fff0f0f0f0f0f0
Color Hash:#6e53ac

Other Hashes

Crop Resistant:a000000000000000

Scan History

Scan history not available

Unable to load historical scan data