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Security Scan Report: xn--smlandstidningen-eob.se

Redirected to:
https://www.smt.se/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5555dbb7-ec60-4f2d-8008-65bba3fe653aDomain and IP registration (RDAP)/api/v1/rdap/5555dbb7-ec60-4f2d-8008-65bba3fe653aHow often this domain was scanned/api/v1/domain/stats/xn--smlandstidningen-eob.seScan history for this domain/api/v1/domain/history/xn--smlandstidningen-eob.se?limit=15
This website contacted 20 IPs in 3 countries across 20 domains to perform 119 HTTP transactions. The main domain is xn--smlandstidningen-eob.se.

Submitted URL: https://xn--smlandstidningen-eob.se

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

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Regional Swedish newspaper Smålands-Tidningen; the punycode entry domain redirects to its official site smt.se. No forms, no impersonation, no threat-intel or malware signals — legitimate news site.

Safety Factors (4)
Cross-domain redirect ends on the brand's own established news domain (smt.se), which settles the brand question — this is a domain move/vanity redirect, not impersonation.
No credential, login or payment forms; the visible 'Logga in' item is a standard subscriber sign-in link, not a harvesting form.
Publisher attribution to Bonnier News matches the third-party hosts actually loaded (bonniernews.se).
No malicious JavaScript, IoC, Safe Browsing, YARA or IDS evidence of any kind.
Domain age information unavailable

Details

Page Title

Smålands-Tidningen – Alltid nära

Scan Type

public

Domain Name Analysis

The domain name 'xn--smlandstidningen-eob.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Count 24 characters in 'xn--smlandstidningen-eob' split between six vowels and 15 consonants; bonus characters include 3 hyphens. Segmentation suggests eight words: xn, sm, lands, tid, ning, en, e, ob. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--smlandstidningen-eob.se

Page Load Overview

1.89s
Total Load Time
58.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:17,982 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
44%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
534.160.47.224Google · CDNKansas City, Missouri, United States
AS396982Google LLC
534.149.45.230Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5142.251.110.156Google · CDNUnited States
AS15169Google LLC
523.67.132.201Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
518.66.112.14Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.251.14.97Google · CDNUnited States
AS15169Google LLC
5104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.250.154.95Google · CDNUnited States
AS15169Google LLC
5194.14.242.54Sweden
AS12552GlobalConnect AB
11920--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174D43A73C6F0417EA2BF29DCB974B3DE2267D306E98A46E5A06E93D51BC2CC1C913059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:rF5vKazfYazfX3jJnD7reEvzrAMT1K0LDEBA:rVHpjjrMmMWb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:655034:o+oRPGFhBCSICCFsCjYFCYQyhABIpSEAJ0AClGAohR0AAICFtgUWoGAIEADQOK6HoICvWOQ5A0aVIiDSwAhIAhFA0BDIChKI

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:009d9d9d9d9d9708
Perceptual Hash:9cc3673c3166c731
Difference Hash:2d33bababab1a49a
Wavelet Hash:001c9f9f9f9f9700
Color Hash:#d22d9b

Other Hashes

Crop Resistant:2d33bababab1a49a,53ab6c4400752972

Scan History

Scan history not available

Unable to load historical scan data