ScanMalware.com

Security Scan Report: mittmediaforlag.se

Redirected to:
https://www.mittmediaforlag.se/
Submitted: Sep 25, 2026, 4:40:09 AMCompleted: Sep 25, 2026, 4:40:42 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b23bcb9c-df93-41da-8cfe-84b8e87a52feDomain and IP registration (RDAP)/api/v1/rdap/b23bcb9c-df93-41da-8cfe-84b8e87a52feCertificate Transparency/api/v1/ct/mittmediaforlag.seHow often this domain was scanned/api/v1/domain/stats/mittmediaforlag.seScan history for this domain/api/v1/domain/history/mittmediaforlag.se?limit=15

This website contacted 9 IPs in 1 country across 6 domains to perform 9 HTTP transactions. The main domain is mittmediaforlag.se and was registered 18 years ago.

Submitted URL: https://mittmediaforlag.se

Effective URL:

https://www.mittmediaforlag.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established literature blog with no malicious indicators, forms, or threat matches. Safe to use.

Safety Factors (5)
Established domain with long history
No forms or credential collection fields
No malicious JavaScript or network behavior
No threat intelligence indicators
Self-branding matches domain name
Domain age information unavailable

Details

Page Title

En blogg om litteratur

Scan Type

public

Domain Name Analysis

The domain name 'mittmediaforlag.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'mittmediaforlag' stretches across 15 characters containing six vowels alongside 9 consonants. Splitting it apart reveals 4 words: mitt, media, for, lag. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mittmediaforlag.se

Page Load Overview

0.90s
Total Load Time
634 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:15,484 chars
Detector Agreement:75%

Website Classification

Primary Category

e-commerce shopping99% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
99%
blog personal website
98%
education learning
79%
entertainment media
59%
government public service
50%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.114.96.9Cloudflare · WAFUnited States
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118.172.111.67Cloudfront · CDNUnited States
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1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
118.172.111.129Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
118.172.111.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
99--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10AA20613A4F2F53A64B3225D9744960A5FEDC12FAB269100748D8A29BF4ED2C55FB30B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:BLLhNdkD+YSqywcs5eoYUaggg8gqyJgRg7IsefOFkBubQuUN:bcDz4wca5agggTqyJYgof+kBZ5N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21787:AxIEAgeVkIDBsQTQDKjVhijXAYYAoiA1IIoMWHaEAYMBAElDWQBOEcIUIhApBwWMQJCNJkAhegYQBABKKyGhg+MBoBlwDIRR

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:00000000ffffffff
Perceptual Hash:9a4bf4b4b3c308bc
Difference Hash:d07171c818363e36
Wavelet Hash:00000000ffffffff
Color Hash:#9387c5

Other Hashes

Crop Resistant:d07171c818363e36,f0f07071717169d0

Scan History

Scan history not available

Unable to load historical scan data