ScanMalware.com

Security Scan Report: prenumerera.se

Submitted: Mar 26, 2026, 3:18:58 PMCompleted: Mar 26, 2026, 3:20:07 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 9 domains to perform 73 HTTP transactions. The main domain is prenumerera.se and was registered NaN years ago.

Submitted URL: https://prenumerera.se/kampanj/?campaign=S11RJD&utm_id=S11RJD&utm_source=active_campaign&utm_medium=email&utm_campaign=aller_varkampanj26_W11-15&utm_content=26mars_vecko%3Cbr%3E

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

The page appears to be a legitimate article about subscription offers with no phishing or malware indicators.

Safety Factors
Well‑established domain (registered 2006)
No forms collecting sensitive data
No known malicious Indicators of Compromise
Content type is article, not impersonation
Standard marketing redirects (30) but no circular redirects
Domain age information unavailable

Details

Page Title

Kampanjerbjudanden på tidningar och magasin - Aller Media - prenumerera.se

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

news media journalism

(69%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'prenumerera.se' is registered. Its registrable label 'prenumerera' stretches across 11 characters holding five vowels versus six consonants. Breaking it apart gives 4 words: pre, n, umer, era. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://prenumerera.se/kampanj/?campaign=S11RJD&utm_id=S11RJD&utm_source=active_campaign&utm_medium=email&utm_campaign=aller_varkampanj26_W11-15&utm_content=26mars_vecko%3Cbr%3E

Page Load Overview

9.74s
Total Load Time
73
HTTP Requests
9
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:5,382 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism69% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
69%
adult content
32%
government public service
26%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.18.36.73United States
AS13335Cloudflare, Inc.
7104.18.86.42United States
AS13335Cloudflare, Inc.
7172.64.151.183United States
AS13335Cloudflare, Inc.
7172.64.155.119United States
AS13335Cloudflare, Inc.
720.123.237.102Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
7142.251.141.136United States
AS15169Google LLC
7142.251.127.154United States
AS15169Google LLC
7104.18.87.42United States
AS13335Cloudflare, Inc.
7150.171.109.194United States
AS8075Microsoft Corporation
734.149.30.244Kansas City, Missouri, United States
AS396982Google LLC
7310--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BB4C4E2D2F699B9C19E32B4DA2037C431EBC76B62D127F1749C1A542B8C49DDE0349E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:vmmC2fSuFIdFIX44wxHhL/oL/C/vMvkItSGtSmAOf5cjXqEXqpQqdtfuDfnDfuty:v8pt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501289:NCKBANsEIDWhLwLIiHIAAghMiZEAEQAeMGBgCxEABbyRTwBBJznAGUApLZHOWRYykBhpeTygkHlEAgG+JUpLwF8EkBEFIIAQ

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:ffff81c3838381c7
Perceptual Hash:bfc4d083853a8e3d
Difference Hash:613b37275b171717
Wavelet Hash:ffe78181838781c7
Color Hash:#3a7853

Other Hashes

Crop Resistant:613b37275b171717,43617152c766b329

Scan History

Scan history not available

Unable to load historical scan data