Security Scan Report: www.plusallt.se

Redirected to:
https://id.bonniernews.se/login?returnUri=https%3A%2F%2Fwww.plusallt.s...
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Submitted: Nov 28, 2025, 10:16:29 AMCompleted: Nov 28, 2025, 10:17:06 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is id.bonniernews.se and was registered NaN years ago.

Submitted URL: https://www.plusallt.se/

Effective URL: https://id.bonniernews.se/login?returnUri=https%3A%2F%2Fwww.plusallt.se%2FRedirected

The Cisco Umbrella rank of the primary domain is #831,045 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Bonnier News

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

news media journalism

(63%)

Domain Information

The domain name 'www.plusallt.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. Count 8 characters in 'plusallt' holding 2 vowels versus six consonants. Tokenizing the label suggests three words: plus, all, t. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.plusallt.se/

Page Load Overview

0.33s
Total Load Time
7
HTTP Requests
2
Domains
84 KB
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-SE
Text Length:290 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism63% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
63%
adult content
31%
government public service
26%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
634.117.136.119Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
22a04:4e42:8e::347Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
73--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E13DAE5A3E463E0D00693F8DA7954E6782A38FFB741CB84E3645E946F511AD8C4ECC1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768://NKHubMqw1GuJivWV/Gi0N1VXa1pXXzzA+2h75:3Nq1lipLZaPz2j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44862:QOEpCCAVUbxNAAjDXAtjig7IB2hGQBkBlJIQADgqPimSCQjUGAwAUgtQIAQBIQTHiQCABDECpIDDwxBAAqY4uyBQxihWQBQZ

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:9f9fffffffff8183
Perceptual Hash:bc963c8ac369c369
Difference Hash:3030322232003737
Wavelet Hash:9e9e9e8e83f98181
Color Hash:#2d82d2

Scan History

Scan history not available

Unable to load historical scan data