Security Scan Report: saffletidningen.se

Redirected to:
https://www.saffletidningen.se/
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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 3 countries across 19 domains to perform 103 HTTP transactions. The main domain is saffletidningen.se.

Submitted URL: https://saffletidningen.se

Effective URL:
https://www.saffletidningen.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate Swedish local news site (Säffle-Tidningen, part of Bonnier News). Self-branding matches the domain, no forms, no malware, hunting rule, IDS or Indicators of Compromise. Domain age undisclosed but that is neutral.

Safety Factors (5)
Self-branding: site's own name matches its own domain — not brand impersonation
No credential, login or payment forms present anywhere on the page
No Indicators of Compromise, hunting rule, Safe Browsing or IDS hits against the page or its resources
Cross-origin requests go only to ranked analytics/consent/CDN providers, with no credential handling
Established media-group affiliation and physical business address mentioned
Domain age information unavailable

Details

Page Title

Säffle-Tidningen – senaste lokala nyheterna från Säffle

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'saffletidningen.se' is registered. Its registrable label 'saffletidningen' stretches across 15 characters containing 5 vowels alongside ten consonants. Splitting it apart reveals seven words: s, a, ff, let, id, ning, en. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Sp Prenumerera på Säffle-Tidningen -> Orter v — Senaste nytt Brott Sport Livesport = Åsikter Familj Nöje och kultur NYHETER Runt 1500 år g Vi använder kakor Den här webbplatsen är en del av Bonn...

Page Load Overview

2.31s
Total Load Time
42.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:17,877 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
48%
technology software
26%
forum
20%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5104.21.87.43Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
534.149.45.230Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5142.251.20.154Google · CDNUnited States
AS15169Google LLC
5184.30.211.67Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
518.66.112.73Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.20.97Google · CDNUnited States
AS15169Google LLC
5142.251.14.95Google · CDNUnited States
AS15169Google LLC
5194.14.242.50Sweden
AS12552GlobalConnect AB
10318--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AB4E833C1E0517EB3EB09DCBAB077EE2652A209E94648D9F16E47D917C3C82C91716E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:br5VKazfYazfGOed952EgmQrbElOwhEKI:bFY3LD8g4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:499547:IoGAhMALwUHvKOEQ0IamhEoBiIgQFa4pAAFBUZDAJAm50gEeQEAjaAkCAFC72BWtEkqVEGklgEUCDQmEBYCTxlBCIagVRAAV

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:009d9d9d9d9d3400
Perceptual Hash:9c1963c733663c39
Difference Hash:4d33b2ba3aa06512
Wavelet Hash:009d9f9f9f9f3400
Color Hash:07c00001000

Scan History

Scan history not available

Unable to load historical scan data